• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Kurita Takio  栗田 多喜夫

ORCIDConnect your ORCID iD *help
… Alternative Names

KURITA Tkio  栗田 多喜夫

KURITA Takio  栗田 多喜男

栗田 多喜夫  クリタ タキオ

Less
Researcher Number 10356941
Other IDs
External Links
Affiliation (Current) 2025: 広島大学, 先進理工系科学研究科(工), 名誉教授
Affiliation (based on the past Project Information) *help 2020 – 2023: 広島大学, 先進理工系科学研究科(工), 教授
2017 – 2019: 広島大学, 工学研究科, 教授
2016: 広島大学, 工学研究院, 教授
2011 – 2015: 広島大学, 工学(系)研究科(研究院), 教授
2013: 広島大学, 大学院工学研究院情報部門, 教授 … More
2011: 広島大学, 大学院・工学研究科, 教授
2011: 広島大学, 工学研究科, 教授
2010 – 2011: National Institute of Advanced Industrial Science and Technology, 大学院・工学研究院, 教授
2009: National Institute of Advanced Industrial Science and Technology, 脳神経情報研究部門, 副研究部門長
2007 – 2009: National Institute of Advanced Industrial Science and Technology, 脳神経情報研究部門, 副研究部門長
2002 – 2004: 独立行政法人産業技術総合研究所, 脳神経情報研究部門, 副部門長 Less
Review Section/Research Field
Principal Investigator
Perception information processing/Intelligent robotics / Perceptual information processing / Basic Section 61040:Soft computing-related / Perceptual information processing / Biological Sciences
Except Principal Investigator
Basic Section 61040:Soft computing-related / Economic statistics / Perception information processing/Intelligent robotics / Social systems engineering/Safety system / Intelligent informatics
Keywords
Principal Investigator
深層学習 / 機械学習 / 画像認識 / 人工知能 / サポートベクターマシン / パターン認識 / アルツハイマー病 / 医療画像診断 / 不変特徴抽出 / 事前知識 … More / 画像,文章,音声等認識 / 画像,文書,音声等認識 / 領域分割 / 特徴抽出 / 判別分析 / カーネル学習 / 事後確率 / 判別カーネル / カーネルロジスティック回帰 / Partcle Swarm Optimization / RANSAC / 対象検出 / Particle Swarm Otimization / 遺伝的アルゴリズム / 多クラス識別 / Particle Swarm Optimization / トラッキング / 物体検出 / 汎化性能 / モデル選択 / 最適化手法 … More
Except Principal Investigator
人工知能 / 物体検出 / 視覚的注意 / Attention module / 深層注意機構 / 深層学習 / 情報量基準 / 次元削減操作変数法 / 次元削減 / 非負値行列分解 / トレンド推定 / 平滑化 / 経時データ / 罰則付分位点回帰 / 操作変数法 / 高次元漸近展開 / パネル回帰分析 / スムージング / グラフ正則化 / BNP検定統計量 / ファクターモデル / フィルタリング / 正則化 / 非負値行列因子分解 / 変数選択 / 高次元漸近理論 / 高次元多変量線形回帰モデル / 高次元データ / 訓練サンプル最適化 / モデル選択 / 特徴選択 / 汎化性向上手法 / マルチカーネル学習法 / サポートベクターマシン / 汎化性向上 / コンピュータビジョン / アンサンブル学習 / 教師あり学習 / カーネル法 / ITS / データマイニング / 画像認識 / パターン認識 / 高次局所自己相関特徴 / ヒューマンファクタ / 超音波域情報提示 / 閾下意識情報提示 / 立体相互相関特徴 / モーションヒストリー画像 / 刑事法学 / 次世代交通システム / 認知科学 / 人間機械系 / 動作認識 / 低覚醒状態検出 / 多層的リスク制御 / 刑事過失責任 / 人間機械協調 / 権限と責任 / ヒューマンファクター / システム安全 / 強化学習 / ニューラルガス / 自己組織化マップ / ナビゲーション / 移動ロボット / 場所細胞 Less
  • Research Projects

    (11 results)
  • Research Products

    (237 results)
  • Co-Researchers

    (15 People)
  •  高難度データ認識と高精細データ生成のための「注意深い」深層学習モデルの開発

    • Principal Investigator
      日高 章理
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Tokyo Denki University
  •  Training of deep learning models by introducing prior knowledgePrincipal Investigator

    • Principal Investigator
      Kurita Takio
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Hiroshima University
  •  PET image analysis by deep learning for diagnosis of Alzheimer's diseasePrincipal Investigator

    • Principal Investigator
      栗田 多喜夫
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for JSPS Fellows
    • Research Field
      Perceptual information processing
    • Research Institution
      Hiroshima University
  •  Development of machine learning algorithms for region classification and region segmentation of bio-imagesPrincipal Investigator

    • Principal Investigator
      栗田 多喜夫
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Biological Sciences
    • Research Institution
      Hiroshima University
  •  Statistical Analysis of High-Dimensional Data

    • Principal Investigator
      YAMADA HIROSHI
    • Project Period (FY)
      2016 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Economic statistics
    • Research Institution
      Hiroshima University
  •  A study on acquisition of intermediate representations using context and top-down information for image recognitionPrincipal Investigator

    • Principal Investigator
      Kurita Takio
    • Project Period (FY)
      2016 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Perceptual information processing
    • Research Institution
      Hiroshima University
  •  A study on classifier design by integration of the probabilistic evidences and it applications to image recognitionsPrincipal Investigator

    • Principal Investigator
      Kurita Takio
    • Project Period (FY)
      2011 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Perception information processing/Intelligent robotics
    • Research Institution
      Hiroshima University
  •  Performance Improvement for Classifiers by Optimizing Training Samples

    • Principal Investigator
      NISHIDA Kenji
    • Project Period (FY)
      2010 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Perception information processing/Intelligent robotics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  Assistance functions and legal theory for systems safety in light of human characteristics on cognition and decision making

    • Principal Investigator
      INAGAKI Toshiyuki
    • Project Period (FY)
      2008 – 2011
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      University of Tsukuba
  •  A study on exploratory model selection methods for pattern recognitionPrincipal Investigator

    • Principal Investigator
      KURITA Takio (KURITA Tkio)
    • Project Period (FY)
      2007 – 2010
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Perception information processing/Intelligent robotics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  場所細胞による移動ロボットのナビゲーションの研究

    • Principal Investigator
      田中 敏雄
    • Project Period (FY)
      2002 – 2004
    • Research Category
      Grant-in-Aid for Exploratory Research
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2004 Other

All Journal Article Presentation Book

  • [Book] 統計的パターン認識と判別分析2019

    • Author(s)
      栗田多喜夫,日高章理
    • Total Pages
      236
    • Publisher
      コロナ社
    • ISBN
      9784339028317
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Book] 統計的パターン認識と判別分析2018

    • Author(s)
      栗田多喜夫, 日高章理
    • Total Pages
      223
    • Publisher
      コロナ社
    • ISBN
    • Data Source
      KAKENHI-PROJECT-16H03606
  • [Book] 統計的学習の基礎―データマイニング・推論・予測―2014

    • Author(s)
      Trevor Hastie, Robert Tibshirani, Jerome Friedman著, 杉山 将・井手 剛・神嶌 敏弘・栗田 多喜夫・前田 英作監訳
    • Total Pages
      853
    • Publisher
      共立出版
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Book] コンピュータビジョン-アルゴリズムと応用-2013

    • Author(s)
      Richard Szeliski著、玉木徹、福嶋慶繁、飯山将晃、鳥居秋彦、栗田多喜夫、渡部斉、林昌希、野田雅文訳
    • Total Pages
      836
    • Publisher
      共立出版
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Nonlinear dimensionality reduction with q-Gaussian distribution2024

    • Author(s)
      Abe Motoshi、Nomura Yuichiro、Kurita Takio
    • Journal Title

      Pattern Analysis and Applications

      Volume: 27 Issue: 1 Pages: 1-12

    • DOI

      10.1007/s10044-024-01210-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection2024

    • Author(s)
      UCHINOURA Shinji、KURITA Takio
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E107.D Issue: 1 Pages: 115-124

    • DOI

      10.1587/transinf.2023EDP7079

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2024-01-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention2023

    • Author(s)
      Wang Yin、Aizawa Hiroaki、Kurita Takio
    • Journal Title

      Pattern Recognition. ACPR 2023. Lecture Notes in Computer Science, vol 14407. Springer, Cham.

      Volume: 1 Pages: 115-128

    • DOI

      10.1007/978-3-031-47637-2_9

    • ISBN
      9783031476365, 9783031476372
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Convolutional autoencoder based on latent subspace projection for anomaly detection2023

    • Author(s)
      Yu Qien、Li Chen、Zhu Ye、Kurita Takio
    • Journal Title

      Methods

      Volume: 214 Pages: 48-59

    • DOI

      10.1016/j.ymeth.2023.04.007

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels2023

    • Author(s)
      Nomura Yuichiro、Kurita Takio
    • Journal Title

      International Journal on Artificial Intelligence Tools

      Volume: 32 Issue: 01 Pages: 1-19

    • DOI

      10.1142/s0218213023500276

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Attention-effective multiple instance learning on weakly stem cell colony segmentation2023

    • Author(s)
      Yudistira Novanto、Kavitha Muthu Subash、Rajan Jeny、Kurita Takio
    • Journal Title

      Intelligent Systems with Applications

      Volume: 17 Pages: 200187-200187

    • DOI

      10.1016/j.iswa.2023.200187

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background2023

    • Author(s)
      Uchinoura Shinji、Miyao Junichi、Kurita Takio
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics

      Volume: 27 Issue: 5 Pages: 886-895

    • DOI

      10.20965/jaciii.2023.p0886

    • ISSN
      1343-0130, 1883-8014
    • Year and Date
      2023-09-20
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Improvement for Single Image Super-resolution and Image Segmentation by Graph Laplacian Regularizer Based on Differences of Neighboring Pixels2022

    • Author(s)
      Lukman HAKIM, Huipeng ZHEN, and Takio KURITA
    • Journal Title

      International Journal of Intelligent Engineering and Systems

      Volume: 15 Issue: 1 Pages: 95-105

    • DOI

      10.22266/ijies2022.0228.10

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Consistency Regularization on Clean Samples for Learning with Noisy Labels2022

    • Author(s)
      NOMURA Yuichiro、KURITA Takio
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E105.D Issue: 2 Pages: 387-395

    • DOI

      10.1587/transinf.2021EDP7127

    • NAID

      130008149969

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2022-02-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN2022

    • Author(s)
      Yudistira Novanto、Kavitha Muthu Subash、Kurita Takio
    • Journal Title

      International Journal of Computer Vision

      Volume: 130 Issue: 10 Pages: 2349-2363

    • DOI

      10.1007/s11263-022-01649-x

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Deep Neural Network Models for Colon Cancer Screening2022

    • Author(s)
      Kavitha Muthu Subash、Gangadaran Prakash、Jackson Aurelia、Venmathi Maran Balu Alagar、Kurita Takio、Ahn Byeong-Cheol
    • Journal Title

      Cancers

      Volume: 14 Issue: 15 Pages: 3707-3707

    • DOI

      10.3390/cancers14153707

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels2022

    • Author(s)
      NOMURA Yuichiro、KURITA Takio
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E105.D Issue: 10 Pages: 1759-1768

    • DOI

      10.1587/transinf.2022EDP7033

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2022-10-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Regularizer based on Euler characteristic for retinal blood vessel segmentation2021

    • Author(s)
      Hakim Lukman、Kavitha Muthu Subash、Yudistira Novanto、Kurita Takio
    • Journal Title

      Pattern Recognition Letters

      Volume: 149 Pages: 83-90

    • DOI

      10.1016/j.patrec.2021.05.023

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection2021

    • Author(s)
      Yu Qien、Kavitha Muthu Subash、Kurita Takio
    • Journal Title

      Neural Computing and Applications

      Volume: 33 Issue: 20 Pages: 13785-13807

    • DOI

      10.1007/s00521-021-06017-3

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval2021

    • Author(s)
      MOJOO Jonathan、KURITA Takio
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E104.D Issue: 6 Pages: 873-880

    • DOI

      10.1587/transinf.2020EDP7226

    • NAID

      130008046653

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2021-06-01
    • Language
      English
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Leveraging network using controlled weight learning approach for thyroid cancer lymph node detection2021

    • Author(s)
      Kavitha Muthu Subash、Yudistira Novanto、Ahn Byeong-Cheol、Kurita Takio
    • Journal Title

      Biocybernetics and Biomedical Engineering

      Volume: 41 Issue: 4 Pages: 1589-1600

    • DOI

      10.1016/j.bbe.2021.10.003

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Autoencoder framework based on orthogonal projection constraints improves anomalies detection2021

    • Author(s)
      Yu Qien、Kavitha Muthusubash、Kurita Takio
    • Journal Title

      Neurocomputing

      Volume: 450 Pages: 372-388

    • DOI

      10.1016/j.neucom.2021.04.033

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Journal Article] Robust pruning for efficient CNNs2020

    • Author(s)
      Ide Hidenori、Kobayashi Takumi、Watanabe Kenji、Kurita Takio
    • Journal Title

      Pattern Recognition Letters

      Volume: 135 Pages: 90-98

    • DOI

      10.1016/j.patrec.2020.03.034

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net2020

    • Author(s)
      Yudistira Novanto、Kavitha Muthusubash、Itabashi Takeshi、Iwane Atsuko H.、Kurita Takio
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1 Pages: 1-1

    • DOI

      10.1038/s41598-020-59285-9

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization2020

    • Author(s)
      MOJOO Jonathan、ZHAO Yu、KAVITHA Muthu Subash、MIYAO Junichi、KURITA Takio
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E103.D Issue: 10 Pages: 2154-2161

    • DOI

      10.1587/transinf.2019EDP7318

    • NAID

      130007920644

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2020-10-01
    • Language
      English
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Mixture of experts with convolutional and variational autoencoders for anomaly detection2020

    • Author(s)
      Yu Qien、Kavitha Muthu Subash、Kurita Takio
    • Journal Title

      Applied Intelligence

      Volume: - Issue: 6 Pages: 1-1

    • DOI

      10.1007/s10489-020-01944-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Correlation Net: Spatiotemporal multimodal deep learning for action recognition2020

    • Author(s)
      Yudistira Novanto、Kurita Takio
    • Journal Title

      Signal Processing: Image Communication

      Volume: 82 Pages: 115731-115731

    • DOI

      10.1016/j.image.2019.115731

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans2020

    • Author(s)
      Kavitha MuthuSubash、Lee Chang-Hee、Shibudas KattakkaliSubhashdas、Kurita Takio、Ahn Byeong-Cheol
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1 Pages: 1-12

    • DOI

      10.1038/s41598-020-64455-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18F18112
  • [Journal Article] Deep Packet Flow : Action recognition via multiresolution deep wavelet packet of local dense optical flows2019

    • Author(s)
      Novanto Yudistira and Takio Kurita
    • Journal Title

      The Journal of Signal Processing Systems for Signal, Image, and Video Technology

      Volume: 91 Issue: 6 Pages: 609-625

    • DOI

      10.1007/s11265-018-1363-x

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Segmenting Tooth Components in Dental X-Ray Images Using Gaussian Kernel- Based Conditional Spatial Fuzzy C-Means Clustering Algorithm2019

    • Author(s)
      Fariza Arna, Arifin Agus, Astuti Eha, Kurita Takio
    • Journal Title

      International Journal of Intelligent Engineering and Systems

      Volume: 12 Issue: 3 Pages: 108-117

    • DOI

      10.22266/ijies2019.0630.12

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Multi-projection deep learning network for segmentation of 3D medical images2019

    • Author(s)
      Indraswari Rarasmaya、Kurita Takio、Arifin Agus Zainal、Suciati Nanik、Astuti Eha Renwi
    • Journal Title

      Pattern Recognition Letters

      Volume: 125 Pages: 791-797

    • DOI

      10.1016/j.patrec.2019.08.003

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Automatic Segmentation of Mandibular Cortical Bone on Cone-Beam CT Images Based on Histogram Thresholding and Polynomial Fitting2019

    • Author(s)
      Indraswari Rarasmaya, Arifin Agus, Suciati Nanik, Astuti Eha, Kurita Takio
    • Journal Title

      International Journal of Intelligent Engineering and Systems

      Volume: 12 Issue: 4 Pages: 130-141

    • DOI

      10.22266/ijies2019.0831.13

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Sparse discriminant analysis based on estimation of posterior probabilities2019

    • Author(s)
      Hidaka Akinori、Watanabe Kenji、Kurita Takio
    • Journal Title

      Journal of Applied Statistics

      Volume: 46 Issue: 15 Pages: 2761-2785

    • DOI

      10.1080/02664763.2019.1613348

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H03606
  • [Journal Article] Improvement of Feature Localization for Facial Expressions by Adding Noise2018

    • Author(s)
      Motaz Sabri, and Takio Kurita
    • Journal Title

      International Journal of Affective Engineering

      Volume: 17 Issue: 1 Pages: 27-37

    • DOI

      10.5057/ijae.IJAE-D-17-00031

    • NAID

      130006327528

    • ISSN
      2187-5413
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques2018

    • Author(s)
      Kavitha Muthu Subash、Kurita Takio、Ahn Byeong-Cheol
    • Journal Title

      Computers in Biology and Medicine

      Volume: 94 Pages: 55-64

    • DOI

      10.1016/j.compbiomed.2018.01.005

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Journal Article] Implement and Analysis of Sparse Regularization for ReLU Activation Function in CNN2018

    • Author(s)
      井手秀徳,栗田多喜夫
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J101-D Issue: 8 Pages: 1110-1119

    • DOI

      10.14923/transinfj.2017IUP0005

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2018-08-01
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Facial Expression Intensity Estimation using Siamese and triplet networks2018

    • Author(s)
      Motaz Sabri and Takio Kurita
    • Journal Title

      Neurocomputing

      Volume: 313 Pages: 143-154

    • DOI

      10.1016/j.neucom.2018.06.054

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Logistic regression analysis for the material design of chiral crystals2018

    • Author(s)
      Shimono, Eri; Inoue, Katsuya; Kurita, Takio; Ichiraku, Yoji
    • Journal Title

      Chemistry Letters

      Volume: 47 Issue: 5 Pages: 611-612

    • DOI

      10.1246/cl.171233

    • NAID

      130006732222

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Marker-based non-overlapping camera calibration methods with additional support camera views2018

    • Author(s)
      Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda
    • Journal Title

      Image and Vision Computing

      Volume: 70 Pages: 46-54

    • DOI

      10.1016/j.imavis.2017.12.006

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239, KAKENHI-PROJECT-26280061
  • [Journal Article] Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis2018

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Journal Title

      Trans. of the Institute of Systems, Control and Information Engineers

      Volume: 31 Pages: 10-20

    • NAID

      130006707945

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Mixture of Counting CNNs2018

    • Author(s)
      Shohei Kumagai, Kazuhiro Hotta, and Takio Kurita
    • Journal Title

      Machine Vision and Applications

      Volume: 29 Issue: 7 Pages: 1119-1126

    • DOI

      10.1007/s00138-018-0955-6

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Journal Article] Tree-wise Discriminative Subtree Selection for Texture Image Labeling2017

    • Author(s)
      Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
    • Journal Title

      IEEE Access

      Volume: 5 Pages: 13617-13634

    • DOI

      10.1109/access.2017.2725319

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239, KAKENHI-PLANNED-16H06540
  • [Journal Article] Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders2017

    • Author(s)
      Motaz Sabri, and Takio Kurita
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E100.D Issue: 7 Pages: 1494-1504

    • DOI

      10.1587/transinf.2016EDP7468

    • NAID

      130006792948

    • ISSN
      0916-8532, 1745-1361
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239, KAKENHI-PLANNED-16H06540
  • [Journal Article] Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells2017

    • Author(s)
      Kavitha Muthu Subash、Kurita Takio、Park Soon-Yong、Chien Sung-Il、Bae Jae-Sung、Ahn Byeong-Cheol
    • Journal Title

      PLOS ONE

      Volume: 12 Issue: 12 Pages: 55-64

    • DOI

      10.1371/journal.pone.0189974

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Journal Article] Gated spatio and temporal CNN for Action Recognition: Towards Gated Multimodal Deep Learning2017

    • Author(s)
      Novanto Yudistira and Takio Kurita
    • Journal Title

      EURASIP Journal on Image and Video Processing

      Volume: 85 Issue: 1 Pages: 1-12

    • DOI

      10.1186/s13640-017-0235-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00239, KAKENHI-PLANNED-16H06540
  • [Journal Article] Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches2016

    • Author(s)
      Muthu Subash Kavitha , Pugalendhi Ganesh Kumar, Soon-Yong Park, Kyung-Hoe Huh, Min-Suk Heo, Takio Kurita, Akira Asano, Seo-Yong An, Sung-Il Chien
    • Journal Title

      Dentomaxillofacial Radiology

      Volume: 45(7) Issue: 7 Pages: 20160076-20160076

    • DOI

      10.1259/dmfr.20160076

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Journal Article] Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine2016

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Journal Title

      Trans. of the Institute of Systems, Control and Information Engineers

      Volume: 29 Pages: 1-8

    • NAID

      130005145542

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine2016

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E99.D Issue: 11 Pages: 2734-2744

    • DOI

      10.1587/transinf.2016EDP7081

    • NAID

      130005268181

    • ISSN
      0916-8532, 1745-1361
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-16H01430, KAKENHI-PLANNED-16H06540
  • [Journal Article] Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval2015

    • Author(s)
      Takahashi Takashi and Takio Kurita
    • Journal Title

      IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

      Volume: 37 Issue: 7 Pages: 1469-1479

    • DOI

      10.1109/tpami.2014.2382092

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Improvements of Local Descriptor in HOG/SIFT by BOF Approach2014

    • Author(s)
      Zhouxin YANG and Takio KURITA
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E97.D Issue: 5 Pages: 1293-1303

    • DOI

      10.1587/transinf.E97.D.1293

    • NAID

      130004519244

    • ISSN
      0916-8532, 1745-1361
    • Language
      English
    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] 人物画像認識による来場者モニタリング2014

    • Author(s)
      野口 祥宏, 嶋田 敬士, マノジ ペレラ, 栗田 多喜夫
    • Journal Title

      精密工学会誌

      Volume: Vol.80, No.1 Pages: 89-93

    • NAID

      130003385064

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Image Classification Using a Mixture of Subspace Models2014

    • Author(s)
      Takahashi Takashi and Takio Kurita
    • Journal Title

      IPSJ Transactions on Computer Vision and Applications

      Volume: 6 Issue: 0 Pages: 93-97

    • DOI

      10.2197/ipsjtcva.6.93

    • NAID

      130004679097

    • ISSN
      1882-6695
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models2013

    • Author(s)
      Kazutoshi Tanabe, Takahiro Suzuki, Takio Kurita, Kenji Nishida, Bono Lucic, Dragan Amic
    • Journal Title

      SAR and QSAR in Environmental Research

      Volume: Vol.24, Issue 7 Issue: 7 Pages: 565-580

    • DOI

      10.1080/1062936x.2012.762425

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] サポートベクター回帰を用いた158カ国の国債格付けの再現2013

    • Author(s)
      田辺 和俊, 栗田 多喜夫, 西田 健次, 鈴木 孝弘
    • Journal Title

      情報知識学会誌

      Volume: Vol. 23, No. 1 Pages: 70-91

    • NAID

      10031138238

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Modeling the Perception of Visual Complexity in Texture Images2013

    • Author(s)
      Xiaoying GUO, Chie Muraki ASANO, Akira ASANO, Takio KURITA
    • Journal Title

      International Journal of Affective Engineering

      Volume: vol. 12, no. 2 Pages: 223-231

    • NAID

      130004597615

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Automatic Analysis of Composite Physical Signals using Non-negative Factorization and Information Criterion2012

    • Author(s)
      Kenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, and Takio Kurita
    • Journal Title

      PLoS ONE

      Volume: Vol.7, No.3 Issue: 3 Pages: e32352-e32352

    • DOI

      10.1371/journal.pone.0032352

    • NAID

      120005300493

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Diagnosis of osteoporosis on dental panoramic radiographs using support vector machine in computer-aided system2012

    • Author(s)
      Kavitha MS, Asano A, Taguchi A, Kurita T, Sanada M
    • Journal Title

      BMC Medical Imaging

      Volume: 12 Issue: 1 Pages: 1-1

    • DOI

      10.1186/1471-2342-12-1

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21592404, KAKENHI-PROJECT-23500211
  • [Journal Article] Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System2012

    • Author(s)
      土谷千加夫(日産自動車株式会社)、田中慎也(日産自動車株式会社)、古性裕之(日産自動車株式会社)、西田健次、栗田多喜夫(広島大学)
    • Journal Title

      International Journal of Passenger Cars - Electron. Electr. Syst

      Volume: 5-5 Pages: 146-153

    • Data Source
      KAKENHI-PROJECT-22500172
  • [Journal Article] Analysis of the texture characteristics associated with visual complexity perception2012

    • Author(s)
      Xinoying Guo, Chie Muraki Asano, Akira Asano, Takio Kurita, and Liang Li
    • Journal Title

      Optical Review

      Volume: Vol.19, no.5 Pages: 306-314

    • NAID

      10031117575

    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images2012

    • Author(s)
      Tetsu Matsukawa, and Takio Kurita
    • Journal Title

      Pattern Recognition

      Volume: 45 (2) Issue: 2 Pages: 707-719

    • DOI

      10.1016/j.patcog.2011.07.018

    • NAID

      120005308218

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Multi-structural texture analysis using mathematical morphology2012

    • Author(s)
      Lei Yang, Akira Asano, Liang Li, Chie Muraki Asano, Takio Kurita
    • Journal Title

      IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: Vol.E95-A, No.10 Pages: 1759-1767

    • NAID

      10031142570

    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System2012

    • Author(s)
      Tsuchiya, S. Tanaka, H. Furusho, K. Nishida, and T. Kurita
    • Journal Title

      SAE International Journal of Passenger Cars - Electron. Electr. Syst

      Volume: 5(1) Issue: 1 Pages: 146-153

    • DOI

      10.4271/2012-01-0293

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Discriminant Appearance Weighting for Action Recognition2011

    • Author(s)
      Tetsu Matsukawa, Takio Kurita
    • Journal Title

      First Asian Conference on Pattern Recognition (20

      Pages: 41-101

    • DOI

      10.1109/acpr.2011.6166599

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] サポートベクターマシンを用いた企業の信用格付けの予測2011

    • Author(s)
      田辺和俊、栗田多喜夫、西田健次、鈴木孝弘
    • Journal Title

      Journal of the Japan Society for Management Information

      Volume: Vol.20, No.1 Pages: 23-38

    • NAID

      40018887660

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data2011

    • Author(s)
      Rameswar Debnath, Haruhisa Takahashi and Takio Kurita
    • Journal Title

      Journal of Systemics, Cybernatics and Informatics

      Volume: vol. 9, no. 6 Pages: 63-68

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Journal Article] Multiple Random Subset-Kernel Learning2011

    • Author(s)
      K.Nishida, J.Fujiki, T.Kurita
    • Journal Title

      Proc.of CAIP 2011

      Pages: 343-350

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Journal Article] サポートベクターマシンを用いた企業の信用格付けの予測2011

    • Author(s)
      田辺和俊、栗田多喜夫、西田健次、鈴木孝弘
    • Journal Title

      Journal of the Japan Society for Management Information

      Volume: Vol.20, No.1 Pages: 23-38

    • NAID

      40018887660

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Journal Article] Ensemble Random-Subset SVM2011

    • Author(s)
      K.Nishida, J.Fujiki, T.Kurita
    • Journal Title

      Proc.of IJCCI 2011

      Pages: 334-339

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Journal Article] Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling2010

    • Author(s)
      K.Tanabe, B.Lucic, D.Amic, T.Kurita, M.Kaihara, N.Onodera, T.Suzuki
    • Journal Title

      Molecular Diversity

      Volume: 14 Pages: 789-802

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Action recognition using three-way cross-correlations feature of local motion attributes2010

    • Author(s)
      Tetsu Matsukawa, TakioKurita
    • Journal Title

      Proc.of Inter.Conf.on Pattern Recognition (ICPR2010)

      Pages: 1731-1734

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] 歩行者検出のための局所識別器のBoostingによる選択的統合2010

    • Author(s)
      西田健次, 栗田多喜男
    • Journal Title

      電気学会論文誌C 129

      Pages: 512-521

    • NAID

      10024774434

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling2010

    • Author(s)
      K.Tanabe, B.Lucic, D.Amic, T.Kurita, M.Kaihara, N.Onodera, T.Suzuki
    • Journal Title

      Molecular Diversity Vol.14, No.4

      Pages: 789-802

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Extraction of combined features from global/local statistics of visual words using relevant operations2010

    • Author(s)
      T.Matsukawa, T.Kurita
    • Journal Title

      IEICE Trans. on Information and Systems Vol.E93-D, No.10

      Pages: 2870-2871

    • NAID

      10027641440

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Extraction of combined features from global/local statistics of visual words using relevant operations2010

    • Author(s)
      T.Matsukawa, T.Kurita
    • Journal Title

      IEICE Trans.On Information and Systems

      Volume: E93-D Pages: 2870-2871

    • NAID

      10027641440

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] 歩行者検出のための局所識別器のBoostingによる選択的統合2009

    • Author(s)
      西田健次,栗田多喜夫
    • Journal Title

      電気学会論文誌[C] 129-C

      Pages: 512-521

    • NAID

      10024774434

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] 複数人物の顔方向・表情認識に基づく映像中の観客の満足度の自動定量評価2009

    • Author(s)
      松川徹、日高章理、栗田多喜夫
    • Journal Title

      情報処理学会論文誌 Vol.50 No.12

      Pages: 3222-3232

    • NAID

      40019547501

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] 歩行者検出のための局所識別器のBoostingによる選択的統合2009

    • Author(s)
      西田健次, 栗田多喜夫
    • Journal Title

      電気学会論文誌[C]

      Volume: 129(3) Pages: 512-521

    • NAID

      10024774434

    • URL

      http://dx.doi.org/10.1541/ieejeiss.129.512

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features2008

    • Author(s)
      A. Hidaka, K. Nishida, T. Kurita
    • Journal Title

      IEICE Trans. on Information and Systems E91-D

      Pages: 2163-2170

    • NAID

      10026805354

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Fast Training Algorithm by Particle Swam Optimization for RectangularFeature Based Boosted Detector2008

    • Author(s)
      Akinoh HIDAKA, and Takio KURITA
    • Journal Title

      Proc.of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008)

      Pages: 88-93

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features2008

    • Author(s)
      A.Hidaka, K.Nishida, T.Kurita
    • Journal Title

      IEICE Trans. on Information and Systems Vol.E91-D, No.8

      Pages: 2163-2170

    • NAID

      10026805354

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] 着座接触圧にもとつくドライバーの動作推定2008

    • Author(s)
      伊藤誠,羽生裕造,鈴木意織,栗田多喜夫,稲垣敏之
    • Journal Title

      自動車技術会論文集 Vol. 39, No. 3

      Pages: 275-281

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Journal Article] Selection of Import Vectors via Binary Particle Swarm Optimization audCross-Validation for Kernel Logistic Regression2007

    • Author(s)
      Kenji TANAKA, Takio KURITA and Tohru KAWABE
    • Journal Title

      Proceedmgs of International Joint Conference onNeural Networks

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Journal Article] Constructing a Map of Place Cells for Mobile Robot Navigation2004

    • Author(s)
      西田健次, 田中敏雄, 栗田多喜夫
    • Journal Title

      International Congress Series 1269

      Pages: 189-192

    • Data Source
      KAKENHI-PROJECT-14658107
  • [Journal Article] 場所細胞の位置マップを用いた移動ロボットのナビゲーション2004

    • Author(s)
      田中敏雄, 西田健次, 栗田多喜夫
    • Journal Title

      日本神経回路学会 第14回全国大会講演論文集 JNNS2004

      Pages: 30-31

    • Data Source
      KAKENHI-PROJECT-14658107
  • [Journal Article] 場所細胞の位置マップによる移動ロボットのナビゲーション2004

    • Author(s)
      田中敏雄, 西田健次, 栗田多喜夫
    • Journal Title

      電子情報通信学会ニューロコンピューティング研究会 NC2004-104

      Pages: 71-76

    • NAID

      110003234090

    • Data Source
      KAKENHI-PROJECT-14658107
  • [Presentation] Important Pixels Sampling for NeRF Training based on Edge Values and Squared Errors between the Ground Truth and the Estimated Colors2024

    • Author(s)
      Kohei Fukuda, Hiroaki Aizawa, and Takio Kurita
    • Organizer
      International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Clustering of Face Images in Video by Using Deep Learning2024

    • Author(s)
      Eito Tada and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Tackling Background Misclassification in Box-supervised Segmentation: A Background Constraint Approach2024

    • Author(s)
      Zhicheng Zhang and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Improvement of Robustness to Noise for Medical Image Segmentation by using Self-Supervised Learning Approach2023

    • Author(s)
      Yuta Konishi and Takio Kurita
    • Organizer
      The 29th International Workshop on Frontiers of Computer Vision (IW-FCV2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Supervised Learning for Convolutional Neural Network with Barlow Twins2022

    • Author(s)
      Ramyaa Murugan, Jonathan Mojoo and Takio Kurita
    • Organizer
      Artificial Neural Networks and Machine Learning (ICANN 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] PatchNet: Patching Trained Model by Additional Neural Network2022

    • Author(s)
      Motoshi Abe and Takio Kurita
    • Organizer
      The 28th International Workshop on Frontiers of Computer Vision (IW-FCV)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance Segmentation2022

    • Author(s)
      Shinji Uchinoura and Takio Kurita
    • Organizer
      2022 26th International Conference on Pattern Recognition (ICPR),
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Pixel Relationships-Based Regularizer for Retinal Vessel Image Segmentation2022

    • Author(s)
      Lukman Hakim and Takio Kurita
    • Organizer
      2022 International Power Electronics Conference, IPEC-Himeji 2022 -ECCE Asia-
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Optimization of Re-ranking based on k-reciprocal for Vehicle Re-identification2022

    • Author(s)
      Simin Liu, Yuta Konishi, Junichi Miyao and Takio Kurita
    • Organizer
      The 28th International Workshop on Frontiers of Computer Vision (IW-FCV)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Decomposition of Invariant and Variant Features by using Convolutional Autoencoder2022

    • Author(s)
      Hidenori Ide, Hiromu Fujishige, Junichi Miyao and Takio Kurita
    • Organizer
      The 28th International Workshop on Frontiers of Computer Vision (IW-FCV)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Summary of Works on Image Classification with Noisy Labels2022

    • Author(s)
      Yuichiro Nomura and Takio Kurita
    • Organizer
      2022 International Power Electronics Conference, IPEC-Himeji 2022 -ECCE Asia-
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Additional Learning for Joint Probability Distribution Matching in BiGAN2022

    • Author(s)
      Jiazhou Zheng, Hiroaki Aizawa and Takio Kurita
    • Organizer
      The 29th International Conference on Neural Information Processing (ICONIP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks2021

    • Author(s)
      Kakeru Mitsuno, Junichi Miyao and Takio Kurita
    • Organizer
      25th International Conference on Pattern Recognition (ICPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Age Estimation from the Age Period by using Triplet Network2021

    • Author(s)
      Gaojian Zhang and Takio Kurita
    • Organizer
      The 27th International Workshop on Frontiers of Computer Vision (IW-FCV2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network2021

    • Author(s)
      Motoshi Abe, Junichi Miyao and Takio Kurita
    • Organizer
      2021 International Joint Conference on Neural Networks (IJCNN)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Channel Planting for Deep Neural Networks using Knowledge Distillation2021

    • Author(s)
      Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita
    • Organizer
      25th International Conference on Pattern Recognition (ICPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding2021

    • Author(s)
      Motoshi Abe, Junichi Miyao and Takio Kurita
    • Organizer
      25th International Conference on Pattern Recognition (ICPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels2021

    • Author(s)
      Huipeng Zheng, Lukman Hakim, Takio Kurita and Junichi Miyao
    • Organizer
      Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] q-Softplus Function: Extensions of Activation Function and Loss Function by using q-Space2021

    • Author(s)
      Motoshi Abe and Takio Kurita
    • Organizer
      the 6th Asian Conference on Pattern Recognition (ACPR2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Invariant Feature Extraction for CNN Classifier by using Gradient Reversal Layer2021

    • Author(s)
      Michiaki Ueda, Keijiro Kanda, Junichi Miyao, Shogo Miyamoto, Yukiko Nakano and Takio Kurita
    • Organizer
      2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12049
  • [Presentation] Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation2021

    • Author(s)
      Yuichiro Nomura and Takio Kurita
    • Organizer
      The 27th International Workshop on Frontiers of Computer Vision (IW-FCV2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Triplet Loss for Knowledge Distillation2020

    • Author(s)
      Hideki Oki, Motoshi Abe, Junichi Miyao and Takio Kurita
    • Organizer
      The International Joint Conference on Neural Networks (IJCNN)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients2020

    • Author(s)
      Michiaki Ueda, Yuichiro Nomura, Junichi Miyao, Takio Kurita, Hiroshi Yamada
    • Organizer
      IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H03606
  • [Presentation] Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection2020

    • Author(s)
      Shah B. Shrey, Muthusubash Kavitha, Lukman Hakim and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18F18112
  • [Presentation] Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network2020

    • Author(s)
      Motoshi Abe, Junichi Miyao and Takio Kurita
    • Organizer
      The International Joint Conference on Neural Networks (IJCNN)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Hilbert Vector Convolutional Neural Network: Two-Dimensional Neural Network on One-Dimensional Data2019

    • Author(s)
      Nasrulloh R.B.S.Loka, Muthusubash Kavitha and Takio Kurita
    • Organizer
      The 28th International Conference on Artificial Neural Networks (ICANN2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis2019

    • Author(s)
      Keijiro Kanda, Muthusubash Kavitha, Junichi Miyao and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Images2019

    • Author(s)
      Lukman Hakim, Novanto Yudistira, Muthusubash Kavitha, and Takio Kurita
    • Organizer
      26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Detection of one dimensional anomalies using a vector-based convolutional autoencoder2019

    • Author(s)
      Qien Yu, Muthusubash Kavitha, and Takio Kurita
    • Organizer
      The 5th Asian Conference on Pattern Recognition (ACPR2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution2019

    • Author(s)
      Jonathan Mojoo, Motaz Sabri and Takio Kurita
    • Organizer
      The 2019 International Joint Conference on Neural Networks (IJCNN2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Siamese Network for Classification with Optimization of ROC-AUC2019

    • Author(s)
      Hideki Oki, Junichi Miyao, and Takio Kurita
    • Organizer
      26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences2019

    • Author(s)
      Xiaohan Wang, Junichi Miyao and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Multi instance learning via deep CNN formulti-class recognition of Alzheimer’s disease2019

    • Author(s)
      Muthusubash Kavitha, Novanto Yudistira, Takio Kurita
    • Organizer
      IEEE 11th International Workshop on Computational Intelligence and Applications, (IEEE-IWCIA2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18F18112
  • [Presentation] Learning with incomplete labels for multi-label image annotation using CNN and restricted Boltzmann machines2019

    • Author(s)
      Jonathan Mojoo, Yu Zhao, Muthushbash Kavitha, Junichi Miyao, and Takio Kurita
    • Organizer
      26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] 3D Region Merging for Segmentation of Teeth on Cone-Beam Computed Tomography Images2018

    • Author(s)
      Rarasmaya Indraswari, Takio Kurita, Agus Zainal Arifin, Nanik Suciati, Eha Renwi Astuti and Dini Adni Navastara
    • Organizer
      Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS-ISIS2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Music score estimation algorithm using octave hierarchy defined on logarithmic frequency2018

    • Author(s)
      Ziang Ye, Muthusubash Kavitha, Junichi Miyao and Takio Kurita
    • Organizer
      25th International Workshop on Frontiers of Computer Vision (IW-FCV2019),
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network2018

    • Author(s)
      Hideki Oki and Takio Kurita
    • Organizer
      25th International Conference on Neural information Processing (ICONIP2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Removal of Unimportant Pixels for Classification with Deep Convolutional Neural Network2018

    • Author(s)
      Sayo Sushida, Junichi Miyao and Takio Kurita
    • Organizer
      the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, February 21-23, 2018
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Convolutional Neural Network with Discriminant Criterion for Input of each Neuron in Output Layer2018

    • Author(s)
      Hidenori Ide and Takio Kurita
    • Organizer
      25th International Conference on Neural information Processing (ICONIP2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Texture Segmentation using Siamese Network and Hierarchical Region Merging2018

    • Author(s)
      Ryusuke Yamada, Hidenori Ide, Novanto Yudistira, and Takio Kurita
    • Organizer
      he 24th International Conference on Pattern Recognition in Beijing, China, August 2018 (ICPR2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Multi-label Image Annotation via CNN with Graph Laplacian Regularization based on Word2Vec2018

    • Author(s)
      Zhao Yu, Miyao Junichi and Kurita Takio
    • Organizer
      the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, February 21-23, 2018
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Action Classfication Based on 2D Coordinates Obtained by Real-time Pose Estimation2018

    • Author(s)
      Siyi Shuai, Muthusubash Kavitha, Junichi Miyao and Takio Kurita
    • Organizer
      25th International Workshop on Frontiers of Computer Vision (IW-FCV2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Scene Classification based on Histogram of Detected Objects2018

    • Author(s)
      Siyi Shuai, Junichi Miyao and Takio Kurita
    • Organizer
      the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, February 21-23, 2018
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Self-Validating and Adjusting Pupil Tracker by Gabor filter tuning2017

    • Author(s)
      Motaz Sabri and Takio Kurita
    • Organizer
      the 23rd International Workshop on Frontiers of Computer Vision (FCV2017)
    • Place of Presentation
      Seoul, Korea
    • Year and Date
      2017-02-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Improvement of Learning for CNN with ReLU Activation by Sparse Regularization2017

    • Author(s)
      Hidenori Ide and Takio Kurita
    • Organizer
      the International Joint Conference on Neural Networks (IJCNN2017), May 14-19, Anchorage, Alaska
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Deep CNN with Graph Laplacian Regularization for Multi-lable Image Annotation2017

    • Author(s)
      Mojoo Jonathan, Keiichi Kurosawa, and Takio Kurita
    • Organizer
      14th International Conference on Image Analysis and Recognition (ICIAR2017), July 5-7, 2017, Montreal, Canada.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Hierachical Region Merging with Region Adjacency Graph Constraints using Hypercolumns extracted from the trained CNN2017

    • Author(s)
      Yuga Fukushima and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (FCV2017)
    • Place of Presentation
      Seoul, Korea
    • Year and Date
      2017-02-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Presentation] Temporal evolution of motion superpixel for video classification2017

    • Author(s)
      Novanto Yudistira and Takio Kurita
    • Organizer
      The 3rd IEEE Interna8onal Conference on Cyberne8cs (CYBCONF-2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network2017

    • Author(s)
      Jin Yamanaka, Shigesumi Kuwashima and Takio Kurita
    • Organizer
      24th International Conference on Neural Information Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Presentation] Image Inpainting by Recursive Estimation using Neural Network and Wavelet Transformation2017

    • Author(s)
      Hiromu Fujishige, Junichi Miyao and Takio Kurita
    • Organizer
      Infernational Conference on Neural Information Processing (ICONIP2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Low Level Visual Extraction by Learning of Multiple Tasks for Convolutional Neural Networks2016

    • Author(s)
      H.Ide and T.Kurita
    • Organizer
      International Joint Conference on Neural Networks (IJCNN2016), in IEEE World Congress on Computational Intelligence
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2016-07-24
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks2016

    • Author(s)
      A.Hidaka, and T.Kurita
    • Organizer
      The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications
    • Place of Presentation
      Fukuoka, Japan
    • Year and Date
      2016-11-04
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Multiple Kernel Learning for Text Detection in Natural Scene Images2016

    • Author(s)
      Wenlong Li and Takio Kurita
    • Organizer
      the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision
    • Place of Presentation
      Takayama, Gifu, Japan
    • Year and Date
      2016-02-17
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Integration of Supervised and Unsupervised Learning for Deep Neural Network2016

    • Author(s)
      Takafumi Uchiyama, Takio Kurita, Satoshi Yamane and Kohei Sakurai
    • Organizer
      the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision
    • Place of Presentation
      Takayama, Gifu, Japan
    • Year and Date
      2016-02-17
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Marker based simple non-overlapping camera calibration2016

    • Author(s)
      F.Zhao, T.Tamaki, T.Kurita, B.Raytchev, and K.Kaneda
    • Organizer
      IEEE International Conference on Image Processing (ICIP2016)
    • Place of Presentation
      Phoenix, AZ, USA
    • Year and Date
      2016-09-25
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00239
  • [Presentation] Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution2016

    • Author(s)
      B. Raytchev, A. Masuda, M. Minakawa, K. Tanaka, T. Kurita, T. Imamura, M. Suzuki, T. Tamaki and K. Kaneda
    • Organizer
      International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2016)
    • Place of Presentation
      Athens, Greece
    • Year and Date
      2016-10-17
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Presentation] Ensemble SVMs for Region Evaluation of iPS Cells Image2016

    • Author(s)
      Ran Li, Takio Kurita, Toru Imamura and Masashi Suzuki
    • Organizer
      the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision
    • Place of Presentation
      Takayama, Gifu, Japan
    • Year and Date
      2016-02-17
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Discriminative Subtree Selection for NBI Endoscopic Image Labeling2016

    • Author(s)
      T.Hirakawa, T.Tamaki, T.Kurita, B.Raytchev, K.Kaneda, C.Wang, L.Najman, T.Koide, S.Yoshida, H.Mieno and S.Tanaka
    • Organizer
      Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA2016)
    • Place of Presentation
      Taipei, Taiwan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01430
  • [Presentation] Soft Local Binary Patterns2015

    • Author(s)
      Ran Li, Xuezhen Li, and Takio Kurita
    • Organizer
      2015 Seventh International Conference of Soft Computing and Pattern Recognition
    • Place of Presentation
      Fukuoka Japan
    • Year and Date
      2015-11-13
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Non-negative Sparse Decomposition of Music Signal using Pre-trained Dictionary of Feature Vectors of Possible Tones from Different Instruments2015

    • Author(s)
      Ryo Nomura and Takio Kurita
    • Organizer
      12th Sound and Music Computing Confernece
    • Place of Presentation
      Maynooth University, Ireland
    • Year and Date
      2015-07-26
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features2015

    • Author(s)
      Atsuki Masuda, Bisser Raytchev, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, and Kazufumi Kaneda
    • Organizer
      6th International Workshop on Machine Learning in Medical Imaging
    • Place of Presentation
      Munich, Germany
    • Year and Date
      2015-10-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Kernel function used in the optimum nonlinear discriminant analysis2015

    • Author(s)
      Takio Kurita
    • Organizer
      The 9th Conference of the Asian Regional Section of the IASC
    • Place of Presentation
      Singapore
    • Year and Date
      2015-12-17
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis2015

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Organizer
      The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications
    • Place of Presentation
      Honolulu, Hawaii, USA
    • Year and Date
      2015-12-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Multiresolution Local Autocorrelation of Optical Flows over time for Action Recognition2015

    • Author(s)
      Novanto Yudistira, and Takio Kurita
    • Organizer
      the 2015 IEEE International Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      Hong Kong, China
    • Year and Date
      2015-10-09
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] BOG: an extension of HOG by interpreting it as bag of features2013

    • Author(s)
      Zhouxin Yang, and Takio Kurita
    • Organizer
      MAV2013 IAPR International Conference on Machine Vision Applications
    • Place of Presentation
      Kyoto, JAPAN
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Pixel-Pair Features Selection for Vehicle Tracking2013

    • Author(s)
      Zhibin Zhang, Zuezhen Li, Takio Kurita, and Shinya Tanaka
    • Organizer
      The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013)
    • Place of Presentation
      Okinawa, Japan
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Visual complexity assessment of painting images2013

    • Author(s)
      Xiaoying GUO, Takio KURITA, Chie MURAKI ASANO, Akira ASANO
    • Organizer
      2013 IEEE International Conference on Image Processing (ICIP 2013)
    • Place of Presentation
      Melbourne, Australia
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Improvements to the descriptor of SIFT by BOF approaches2013

    • Author(s)
      Zhouxin Yang, and Takio Kurita
    • Organizer
      The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013)
    • Place of Presentation
      Okinawa, Japan
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Sparse Logistic Discriminant Analysis2013

    • Author(s)
      Takio Kurita, Kenji Watanabe, and Akinori Hidaka
    • Organizer
      IEEE International Conference on System, Man, and Cybernetics
    • Place of Presentation
      Manchester, UK
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Self-training with unlabeld regions for NBI image recognition2012

    • Author(s)
      Takahishi Takeda, Toru Tamaki*, Bisser Raytchev, Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka
    • Organizer
      21st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan
    • Place of Presentation
      Tsukuba
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Modeling Visual Complexity of Textures Associated with Texture Characteristics2012

    • Author(s)
      Xinoying Guo, Chie Muraki Asano, Akira Asano, Takio Kurita
    • Organizer
      2012 International,’’ Conference of Information Science and Computer Applications (ICISCA 2012), Bali Indonesia from 19 -20 November 2012
    • Place of Presentation
      Bali, Indonesia
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression2012

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Organizer
      Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012)
    • Place of Presentation
      Hiroshima
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Analysis of Visual Complexity Perception to the Texture Images2012

    • Author(s)
      Guo Xiaoyingm, Chie Muraki Asano, Akira Asano, and Takio Kurita
    • Organizer
      International Conference on Kansei Engineering and Emotion Research(KEER2012), 22-25 May, 2012
    • Place of Presentation
      Taiwan
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Automatic Assessment of Mandibular Bone Using Support Vector Machine for the Diagnosis of Osteoporosis2012

    • Author(s)
      M.S.Kavitha, Takio Kurita, Akira Asano, and Akira Taguchi
    • Organizer
      2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC2012), October 14-17, 2012
    • Place of Presentation
      Seoul, Korea
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Road Region Detection by Spatio-Temporal Graph Segmentation of Optical Flows Using On-Board Camera2012

    • Author(s)
      西田健次、藤木淳、小林匠、土谷千加夫(日産自動車株式会社)、田中慎也(日産自動車株式会社)、栗田多喜夫(広島大学)
    • Organizer
      Proc. of International Conf. on Signal Processing, Pattern Recognition and Applications
    • Place of Presentation
      (pp.9-16)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System2012

    • Author(s)
      Chikao Tsuchiya , Shinya Tanaka and Hiroyuki Furusho, Kenji Nishida, Takio Kurita
    • Organizer
      SAE 2012 World Congress & Exhibition, 2012,
    • Place of Presentation
      Detroit(米国)
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] パターン認識器の設計のための最適化2011

    • Author(s)
      栗田多喜夫, 西田健次、日高章理, 松川徹
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      産総研、つくば(招待講演)
    • Year and Date
      2011-03-10
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 訓練セットのランダムサンプリングによるマルチカーネル学習法2011

    • Author(s)
      西田健次、藤木淳、栗田多喜夫(広島大学)
    • Organizer
      MIRU2011論文集
    • Place of Presentation
      (pp.125-131)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Discriminant kernel derived from the optimum nonlinear discriminant analysis2011

    • Author(s)
      Takio Kurita
    • Organizer
      International Joint Conference on Neural Networks (IJCNN2011)
    • Place of Presentation
      San Jose, California, USA
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Multiple Random Subset-Kernel Learning2011

    • Author(s)
      西田健次、藤木淳、栗田多喜夫(広島大学)
    • Organizer
      Computer Analysis of Image and Patterns
    • Place of Presentation
      (1-1,pp.343-350)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Discriminant Kernels based Support Vector Machine2011

    • Author(s)
      Akinori Hidaka, and Takio Kurita
    • Organizer
      The First Asian Conference on Pattern Recognition (ACPR'11)
    • Place of Presentation
      Beijing, China
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] パターン認識器の設計のための最適化2011

    • Author(s)
      栗田, 西田、日高, 松川
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,信学技報,[特別講演]Vol.110, No.467, PRMU2010-251, pp.85-90
    • Place of Presentation
      産業技術総合研究所,つくば
    • Year and Date
      2011-03-10
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 環境変化やノイズに対してロバストな画像センサによる車両・二輪車計測2011

    • Author(s)
      小野祐樹(住友電気工業)、東久保政勝(住友電気工業)、荻内康雄(住友電気工業)、栗田多喜夫(広島大学)、西田健次、稲吉宏明
    • Organizer
      第10回ITSシンポジウム2011 proceedings
    • Place of Presentation
      (pp.145-150)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Ensemble Random-Subset SVM2011

    • Author(s)
      K.Nishida, T.Fujiki, T.Kurita
    • Organizer
      IJCCI 2011
    • Place of Presentation
      パリ東大学、パリ、フランス
    • Year and Date
      2011-10-01
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] 見えに基づく判別的重み付き積分動き特徴による行動認識2011

    • Author(s)
      松川徹、栗田多喜夫
    • Organizer
      第14回画像の認識・理解シンポジウム(MIRU2011)
    • Place of Presentation
      金沢市文化ホール石川県金沢市
    • Year and Date
      2011-07-21
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Presentation] Multiple Random Subset-Kernel Learning2011

    • Author(s)
      K.Nishida, J.Fujiki, T.Kurita
    • Organizer
      CAIP 2011
    • Place of Presentation
      セビリア大学、セビリア、スペイン
    • Year and Date
      2011-08-01
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Road Plane Detection using Differential Homography Estimated by Pair Feature Matching of Local Regions2011

    • Author(s)
      西田健次、藤木淳、土谷千加夫(日産自動車株式会社)、田中慎也(日産自動車株式会社)、栗田多喜夫(広島大学)
    • Organizer
      Proc. SPPRA 2011
    • Place of Presentation
      (pp.23-29)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] ENSEMBLE RANDOM-SUBSET SVM2011

    • Author(s)
      西田健次、藤木淳、栗田多喜夫(広島大学)
    • Organizer
      Proc. IJCCI 2011
    • Place of Presentation
      (pp.334-339)
    • Data Source
      KAKENHI-PROJECT-22500172
  • [Presentation] Visual Complexity Perception and Texture Image Characteristics2011

    • Author(s)
      Xiaoying Guo, Chie Muraki Asano, Akira Asano and Takio Kurita
    • Organizer
      2011 International Conference on Biometrics and Kansei Engineering (ICBAKE 2011)
    • Place of Presentation
      Kagawa, Japan
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] 複数特徴量のカスケード型サポートベクターマシンによる猫の顔検出2010

    • Author(s)
      松川, 嶋田, 野口, 栗田
    • Organizer
      画像センシングシンポジウム講演論文集,IS4-14
    • Place of Presentation
      横浜
    • Year and Date
      2010-06-11
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] SVMによる検出とペア特徴追跡の組み合わせによる車両・二輪車計測2010

    • Author(s)
      東久保政勝, 荻内康雄, 小野佑樹, 栗田多喜夫, 西田健次, 稲吉宏明, 荒田礼治
    • Organizer
      電気学会電子・情報・システム部門大会
    • Place of Presentation
      熊本大学、熊本
    • Year and Date
      2010-09-03
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] パターン認識と機械学習2010

    • Author(s)
      栗田多喜夫
    • Organizer
      電子情報通信学会音声研究会
    • Place of Presentation
      九州大学、福岡(招待講演)
    • Year and Date
      2010-06-18
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] ロバストテンプレートマッチングを用いた部分的な隠れに頑健な対象追跡手法2010

    • Author(s)
      渡辺顕司、日高章理、荻内康雄、東久保政勝、栗田多喜夫
    • Organizer
      画像の認識・理解シンポジウム
    • Place of Presentation
      釧路
    • Year and Date
      2010-07-29
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] [フェロー記念講演]非線形判別分析とその周辺2010

    • Author(s)
      栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,信学技報,Vol.110, No.187, PRMU2010-84,pp.209-214
    • Place of Presentation
      福岡大学
    • Year and Date
      2010-09-06
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Scene classification using spatial relationship between local posterior probabilities2010

    • Author(s)
      Tetsu Matsukawa, Takio Kurita
    • Organizer
      International Conference on Computer Vision Theory and Applications
    • Place of Presentation
      Angers, France
    • Year and Date
      2010-05-18
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] ロバストテンプレートマッチングを用いた部分的な隠れに頑健な対象追跡手法2010

    • Author(s)
      渡辺, 日高, 荻内, 東久保, 栗田
    • Organizer
      画像の認識・理解シンポジウム(MIRU2010)論文集,pp.1731-1738
    • Place of Presentation
      釧路
    • Year and Date
      2010-07-29
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Finding a sub-optimal combination of the binary classifiers for multi-class classification problems2010

    • Author(s)
      Yoshito Murayama, Tetsu Matsukawa, Takio Kurita
    • Organizer
      Korea-Japan Joint Workshop on Frontiers of Computer Vision(FCV2010)
    • Place of Presentation
      広島
    • Year and Date
      2010-02-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] SVMによる検出とペア特徴追跡の組み合わせによる車両・二輪車計測2010

    • Author(s)
      東久保政勝、荻内康雄、小野佑樹、栗田多喜夫、西田健次、稲吉宏明、荒田礼治
    • Organizer
      画像センシングシンポジウム
    • Place of Presentation
      横浜
    • Year and Date
      2010-06-11
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 複数特徴量のカスケード型サポートベクターマシンによる猫の顔検出2010

    • Author(s)
      松川徹、嶋田敬士、野口祥宏、栗田多喜夫
    • Organizer
      画像センシングシンポジウム
    • Place of Presentation
      横浜
    • Year and Date
      2010-06-11
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Action recognition using three-way cross-correlations ftf local motion attributes2010

    • Author(s)
      Tetsu Matsukawa, Takio Kurita
    • Organizer
      Proc.of Inter.Conf.on Pattern Recognition(ICPR2010)
    • Place of Presentation
      Istanbul, Turkey
    • Year and Date
      2010-08-24
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Presentation] 非線形判別分析とその周辺2010

    • Author(s)
      栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      福岡大学、福岡(招待講演)
    • Year and Date
      2010-09-06
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] パターン認識と機械学習2010

    • Author(s)
      栗田
    • Organizer
      電子情報通信学会音声研究会,信学技報,[招待講演]SP2010-32, pp.61-66
    • Place of Presentation
      九州大学
    • Year and Date
      2010-06-18
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] SVMによる検出とペア特徴追跡の組み合わせによる車両・二輪車計測2010

    • Author(s)
      東久保, 荻内, 小野, 栗田, 西田, 稲吉, 荒田
    • Organizer
      電気学会電子・情報・システム部門大会予稿集
    • Place of Presentation
      熊本大学
    • Year and Date
      2010-09-03
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines2010

    • Author(s)
      K.Shimada, Y.Noguchi, T.Matsukawa, T.Kurita
    • Organizer
      Proc. of The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval
    • Place of Presentation
      Queenstown, New Zealand.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Finding a sub-optimal combination of the binary classifiers for multi-class classification problems2010

    • Author(s)
      Y. Murayama, T. Matsukawa, T. Kurita
    • Organizer
      Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010)
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines2010

    • Author(s)
      Keiji Shimada, Yoshihiro Noguchi, Tetsu Matsukawa, Takio Kurita
    • Organizer
      The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval
    • Place of Presentation
      Queenstown, New Zealand
    • Year and Date
      2010-11-09
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 局所的な動き属性の立体相互相関特徴による行動認識2010

    • Author(s)
      松川徹、栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      東京都
    • Year and Date
      2010-03-16
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Presentation] Finding a sub-optimal combination of the binary classifiers for multi-class classification problems2010

    • Author(s)
      Y.Murayama, T.Matsukawa, T.Kurita
    • Organizer
      Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.336-341
    • Place of Presentation
      Hiroshima, Japan.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations2010

    • Author(s)
      Tetsu Matsukawa, Takio Kurita
    • Organizer
      Korea-Japan Joint Workshop on Frontiers of Computer Vision(FCV2010)
    • Place of Presentation
      広島
    • Year and Date
      2010-02-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations2010

    • Author(s)
      松川, 栗田
    • Organizer
      Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), pp.492-497
    • Place of Presentation
      Hiroshima, Japan.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Scene classification using spatial relationship between local posterior probabilities2010

    • Author(s)
      松川, 栗田
    • Organizer
      Proc. of International Conference on Computer Vision Theory and Applications (VISAPP2010), Vol.2,pp.325-332
    • Place of Presentation
      Angers, France.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Co-occurrence of Intensity and Gradient Features for Object Detection, 16th International Conference on Neural Information Processing2009

    • Author(s)
      日高, 栗田
    • Organizer
      Bangkok, Thailand, Part II, LNCS 5864, pp.38-46
    • Place of Presentation
      Bangkok, Thailand.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Logistic Discriminant Analysis2009

    • Author(s)
      T. Kurita, K. Watanabe, N. Otsu
    • Organizer
      IEEE International Conference on Systems, Man, and Cybernetics
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Image classification using probability higher-order local auto-correlations2009

    • Author(s)
      松川, 栗田
    • Organizer
      Proc. of the 9th Asian Conference on Computer Vision (ACCV2009)
    • Place of Presentation
      Xian,China
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 顔表情と向きの投票による観客映像の識別2009

    • Author(s)
      松川, 日高, 栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,PRMU2009-240, pp.1-6
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Preliminary Local Feature Selection by Support Vector Machine for Bag of Features2009

    • Author(s)
      T.Matsukawa, K.Suzuki, T.Kurita
    • Organizer
      Proc. of The 15th Japan-Korea Joint Workshop on Frontiers of Computer Vision, pp.129-134
    • Place of Presentation
      Andong, Korea
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] サポートベクターマインを用いた Bag-of-Features における局所特徴の初期選択2009

    • Author(s)
      鈴木浩二, 松川徹, 栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      東北工業大学
    • Year and Date
      2009-03-13
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Logistic Discriminant Analysis2009

    • Author(s)
      T.Kurita, K.Watanabe, N.Otsu
    • Organizer
      Proc.of 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp.2236-2241
    • Place of Presentation
      San Antonio, Texas, USA.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Preliminary Local Feature Selection by Support Vector Machine for Bag of Features2009

    • Author(s)
      T. Matsukawa, K. Suzuki, T. Kurita
    • Organizer
      The 15th Japan-Korea Joint Workshop on Frontiers of Computer Vision
    • Place of Presentation
      アンドン(韓国)
    • Year and Date
      2009-02-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 顔表情と向きの投票による観客映像の識別2009

    • Author(s)
      松川徹, 日高章理, 栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      東北工業大学
    • Year and Date
      2009-03-13
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Co-occurrence of Intensity and Gradient Features for Object Detection2009

    • Author(s)
      Akinori Hidaka, Takio Kurita
    • Organizer
      International Conference on Neural Information Processing
    • Place of Presentation
      バンコク(タイ)
    • Year and Date
      2009-12-03
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Image classification using probability higher-order local auto-correlations2009

    • Author(s)
      Tetsu Matsukawa, Takio Kurita
    • Organizer
      the 9th Asian Conference on Computer Vision(ACCV2009)
    • Place of Presentation
      西安(中国)
    • Year and Date
      2009-09-27
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 事後確率画像上の高次局所自己相関に基づく一般画像認識2009

    • Author(s)
      松川, 栗田
    • Organizer
      画像の認識・理解シンポジウム(MIRU2009)論文集,pp.568-575
    • Place of Presentation
      松江
    • Year and Date
      2009-07-20
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 多クラス識別問題における2クラス識別器の選択2009

    • Author(s)
      村山, 松川, 栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,PRMU2009-121, pp.195-200
    • Place of Presentation
      金沢
    • Year and Date
      2009-11-27
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 事後確率画像上の高次局所自己相関に基づく一般画像認識2009

    • Author(s)
      松川徹, 栗田多喜夫
    • Organizer
      画像の認識・理解シンポジウム(MIRU2009)
    • Place of Presentation
      松江
    • Year and Date
      2009-07-20
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Logistic Discriminant Analysis2009

    • Author(s)
      Takio Kurita, Kenji Watanabe, Nobuyuki Otsu
    • Organizer
      IEEE International Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      サンアントニオ(米国)
    • Year and Date
      2009-10-13
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] サポートベクターマインを用いたBag-of-Featuresにおける局所特徴の初期選択2009

    • Author(s)
      鈴木, 松川, 栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,PRMU2009-240, pp.7-12
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 多クラス識別問題における2クラス識別器の選択2009

    • Author(s)
      村山善透、松川徹、栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      金沢
    • Year and Date
      2009-11-27
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 非隣接型矩形特徴を用いた物体検出2008

    • Author(s)
      日高章理, 栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      慶応大学
    • Year and Date
      2008-09-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Comparison of linear feature spaces for classication of face sequences in movie videos2008

    • Author(s)
      T.Kobayashi, A.Hidaka, T.Kurita
    • Organizer
      Proc. of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp.70-75
    • Place of Presentation
      Beppu, Oita, Japan.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Boosting with Cross-Validation Based Feature Selection for Pedestrian Detection2008

    • Author(s)
      西田, 栗田
    • Organizer
      Proc. of 2008 IEEE Congress on Computational Intelligence (WCCI2008), pp.1251-1257
    • Place of Presentation
      Hong Kong Convention and Exhibition Center
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Locality Preserving Multi-Nominal Logistic Regression2008

    • Author(s)
      渡辺, 栗田
    • Organizer
      Proc. of International Conference on Pattern Recognition
    • Place of Presentation
      Tampa Convention Center, Tampa, FL, USA
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] RANSAC-SVM for Large-Scale Datesets2008

    • Author(s)
      K. Nishida, T. Kurita
    • Organizer
      International Conference on Pattern Recognition
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Fast Training Algorithm by Particle Swarm Optimization and Random Candidate Selection for Rectangular Feature Based Boosted Detector2008

    • Author(s)
      A. Hidaka, T. Kurita
    • Organizer
      2008 IEEE Congress on Computational Intelligence (WCCI2008)
    • Place of Presentation
      香港
    • Year and Date
      2008-06-03
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Motion Recognition by Higher Order Local Auto Correlation Features of Motion History Images2008

    • Author(s)
      Kenji Watanabe and Takio Kurita
    • Organizer
      2008 ECSIS Symposium on Bio-nspired, Learning and Intelligent Systems for Security (BLISS-2008)
    • Place of Presentation
      Edinburgh, Scotland, UK
    • Year and Date
      2008-08-04
    • Data Source
      KAKENHI-PROJECT-20241039
  • [Presentation] Boosting with Cross-Validation Based Feature Selection for Pedestrian Detection2008

    • Author(s)
      K. Nishida, T. Kurita
    • Organizer
      2008 IEEE Congress on Computational Intelligence (WCCI2008)
    • Place of Presentation
      香港
    • Year and Date
      2008-06-02
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Non-Neighboring Rectangular Feature Selection Using Particle Swarm Optimization2008

    • Author(s)
      A. Hidaka, T. Kurita
    • Organizer
      International Conference on Pattern Recognition
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Fast Training Algorithm by Particle Swarm Optimization and Random Candidate Selection for Rectangular Feature Based Boosted Detector2008

    • Author(s)
      日高, 栗田
    • Organizer
      Proc. of 2008 IEEE Congress on Computational Intelligence (WCCI2008), pp.1164-1170
    • Place of Presentation
      Hong Kong Convention and Exhibition Center
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Object Detection by Selective Integration of Higher Order Local Autocorrelation Mask Feature2008

    • Author(s)
      A. Hidaka, T. Kurita, N. Otsu
    • Organizer
      2008 ECSIS Symposium on Bio-inspired, Learning and Intelligent Systems for Security (BLISS-2008)
    • Place of Presentation
      エジンバラ(英国)
    • Year and Date
      2008-08-04
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Object Detection by Selective Integration of Higher Order Local Autocorrelation Mask Feature2008

    • Author(s)
      A.Hidaka, T.Kurita, N.Otsu
    • Organizer
      Proc. of 2008 ECSIS Symposium on Bio-inspired, Learning and Intelligent Systems for Security (BLISS-2008), pp.46-50,
    • Place of Presentation
      Edinburgh, Scotland, UK.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] RANSAC-SVM for Large-Scale Datasets2008

    • Author(s)
      西田, 栗田
    • Organizer
      Proc. of International Conference on Pattern Recognition
    • Place of Presentation
      Tampa Convention Center, Tampa, FL, USA
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Locality Preserving Multi-Nominal Logistic Regression2008

    • Author(s)
      K. Watanabe, T. Kurita
    • Organizer
      International Conference on Pattern Recognition
    • Place of Presentation
      タンパ(米国)
    • Year and Date
      2008-12-11
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Fast Training Algorithm by Particle Swarm Optimization for Rectangular Feature Based Boosted Detector2008

    • Author(s)
      日高, 栗田
    • Organizer
      Proc. of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008),pp.88-93
    • Place of Presentation
      Beppu, Oita, Japan.
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] 非隣接型矩形特徴を用いた物体検出2008

    • Author(s)
      日高, 栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,PRMU2008-68, pp.135-140
    • Place of Presentation
      慶應義塾大学
    • Year and Date
      2008-09-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Support Vector Machine を用いた AdaBoost の重み最適化2008

    • Author(s)
      松川徹, 栗田多喜夫
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Place of Presentation
      慶応大学
    • Year and Date
      2008-09-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Non-Neighboring Rectangular Feature Selection Using Particle Swarm Optimization2008

    • Author(s)
      日高, 栗田
    • Organizer
      Proc. of International Conference on Pattern Recognition
    • Place of Presentation
      Tampa Convention Center, Tampa, FL, USA
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Support Vector Machineを用いたAdaBoostの重み最適化2008

    • Author(s)
      松川, 栗田
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会,PRMU2008-66, pp.121-126
    • Place of Presentation
      慶應義塾大学
    • Year and Date
      2008-09-05
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression2007

    • Author(s)
      K. Tanaka, T. Kurita, T. Kawabe
    • Organizer
      International Joint Conference on Neural Networks
    • Data Source
      KAKENHI-PROJECT-19500163
  • [Presentation] Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model

    • Author(s)
      Akinori Hidaka, and Takio Kurita
    • Organizer
      Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014)
    • Place of Presentation
      Joensuu, Finland
    • Year and Date
      2014-08-20 – 2014-08-22
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Extraction of Dimension Reduced Features from Empirical Kernel Vector

    • Author(s)
      Takio Kurita and Yayoi Harashima
    • Organizer
      the 21th International Conference on Neural Information Processing (ICONIP2014)
    • Place of Presentation
      Kuching, Malaysia
    • Year and Date
      2014-11-03 – 2014-11-06
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] Nonlinear Discriminant Analysis Using k Nearest Neighbor Estimation

    • Author(s)
      Xuezhen Li and Takio Kurita
    • Organizer
      21st Japan-Korea joint Workshop on Frontiers of Compputer Vision (FCV2015)
    • Place of Presentation
      Mokpo, Korea
    • Year and Date
      2015-01-28 – 2015-01-30
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] 確率的証拠に基づくパターン認識~識別のための最適なカーネル関数~

    • Author(s)
      栗田多喜夫
    • Organizer
      動的画像処理実利用ワークショップ (DIA2015)
    • Place of Presentation
      広島工業大学
    • Year and Date
      2015-03-05 – 2015-03-06
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500211
  • [Presentation] andomized and Dimension Reduced Kernel Generation for Support Vector Machine

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Organizer
      The 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications
    • Place of Presentation
      京都工芸繊維大学
    • Year and Date
      2014-11-01 – 2014-11-02
    • Data Source
      KAKENHI-PROJECT-23500211
  • 1.  HIDAKA AKINORI (70553519)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 11 results
  • 2.  NISHIDA Kenji (50344148)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 15 results
  • 3.  INAGAKI Toshiyuki (60134219)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 4.  ITOH Makoto (00282343)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 5.  IKEDA Yoshihiko (60212792)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  HAGA Shigeru (10281544)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  TAKAHASHI Hiroshi (80454156)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  YAMADA HIROSHI (90292078)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 9.  田中 敏雄 (10344136)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 10.  早川 和彦 (00508161)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  柳原 宏和 (70342615)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  若木 宏文 (90210856)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  藤越 康祝 (40033849)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  MUTHUSUBASH KAVITHA
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 9 results
  • 15.  田口 明
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi