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Yokota Tatsuya  横田 達也

Researcher Number 80733964
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-7368-2060
Affiliation (Current) 2023: 名古屋工業大学, 工学(系)研究科(研究院), 准教授
Affiliation (based on the past Project Information) *help 2020 – 2023: 名古屋工業大学, 工学(系)研究科(研究院), 准教授
2015 – 2021: 名古屋工業大学, 工学(系)研究科(研究院), 助教
Review Section/Research Field
Principal Investigator
Basic Section 61010:Perceptual information processing-related / Soft computing
Except Principal Investigator
Basic Section 61010:Perceptual information processing-related / Basic Section 61030:Intelligent informatics-related
Keywords
Principal Investigator
テンソル分解 / インターフェース / 最適化 / 高速最適化 / 数値最適化 / CP分解 / テンソルトレイン分解 / タッカー分解 / サンプリング法 / スケッチ法 … More / ランダム射影法 / ベイズテンソル分解 / 数理最適化 / ランク推定 / テンソルネットワーク分解 / 低ランク / 平滑制約 / 多重線形ランク / 近接分離 / 全変動 / テンソル最適化 / PET画像再構成 / Total Variation / 核ノルム / 主双対分離 / 凸最適化 / 非負行列分解 / テンソル因子分解 / テンソル総変動 / テンソル核ノルム / テンソル補完 / 情報量基準 / モデル選択 … More
Except Principal Investigator
医用画像処理 / 悪性リンパ腫 / 病理画像処理 / tensor network / Robustness / Machine Learning / Tensor Networks / machine learning / Tensor networks / 腫瘍 / 膵癌 / 3次元再構成 / 染色変換 / 病理画像解析 / 画像解析 / 画像処理 / 免疫染色 / 病理顕微鏡画像 / 非剛体位置合わせ / 病理画像 / MRI Less
  • Research Projects

    (6 results)
  • Research Products

    (38 results)
  • Co-Researchers

    (9 People)
  •  Optimization Theories, Algorithms, and Interfeces for General Tensor DecompositionsPrincipal Investigator

    • Principal Investigator
      横田 達也
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Nagoya Institute of Technology
  •  Construction of a disease type discriminator based on cell histomorphology and realization of a platform for atypicality analysis of malignant lymphomas

    • Principal Investigator
      本谷 秀堅
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Nagoya Institute of Technology
  •  Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms Development

    • Principal Investigator
      ZHAO QIBIN
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  Rank estimation and optimization methods for tensor network decomposition, and its applicationsPrincipal Investigator

    • Principal Investigator
      横田 達也
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Nagoya Institute of Technology
  •  Construction of highly accurate information space for understanding 3D structures of pancreatic tumors

    • Principal Investigator
      HONTANI Hidekata
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Nagoya Institute of Technology
  •  Model Selection for Tensor Factorization and its Applications for Big Data AnalysisPrincipal Investigator

    • Principal Investigator
      Yokota Tatsuya
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Soft computing
    • Research Institution
      Nagoya Institute of Technology

All 2021 2020 2019 2018 2017 2016 2015

All Journal Article Presentation

  • [Journal Article] Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting2020

    • Author(s)
      Shi Qiquan、Yin Jiaming、Cai Jiajun、Cichocki Andrzej、Yokota Tatsuya、Chen Lei、Yuan Mingxuan、Zeng Jia
    • Journal Title

      Proceedings of the AAAI Conference on Artificial Intelligence

      Volume: 34 Issue: 04 Pages: 5758-5766

    • DOI

      10.1609/aaai.v34i04.6032

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Journal Article] Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction2020

    • Author(s)
      Sedighin Farnaz、Cichocki Andrzej、Yokota Tatsuya、Shi Qiquan
    • Journal Title

      IEEE Signal Processing Letters

      Volume: 27 Pages: 810-814

    • DOI

      10.1109/lsp.2020.2990313

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Journal Article] Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation.2019

    • Author(s)
      Kugler M, Goto Y, Tamura Y, Kawamura N, Kobayashi H, Yokota T, Iwamoto C, Ohuchida K, Hashizume M, Shimizu A, Hontani H.
    • Journal Title

      Int J Comput Assist Radiol Surg

      Volume: 14 Issue: 12 Pages: 2047-2055

    • DOI

      10.1007/s11548-019-02019-8

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K16366, KAKENHI-PROJECT-18H03262
  • [Journal Article] Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization2019

    • Author(s)
      Yokota Tatsuya、Hontani Hidekata
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 15669-15682

    • DOI

      10.1109/access.2019.2894622

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-ORGANIZER-26108001, KAKENHI-PLANNED-26108003, KAKENHI-PROJECT-18H03262
  • [Journal Article] Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting2018

    • Author(s)
      Kawamura Naoki、Yokota Tatsuya、Hontani Hidekata
    • Journal Title

      International Journal of Biomedical Imaging

      Volume: 2018 Pages: 1-17

    • DOI

      10.1155/2018/9262847

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-ORGANIZER-26108001, KAKENHI-PLANNED-26108003, KAKENHI-PROJECT-18H03262
  • [Journal Article] Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization2018

    • Author(s)
      Tatsuya Yokota、Hontani Hidekata
    • Journal Title

      arXiv

      Volume: 1801.03299 Pages: 1-1

    • Open Access
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Journal Article] Parametric PET Image Reconstruction via Regional Spatial Bases and Pharmacokinetic Time Activity Model2017

    • Author(s)
      Kawamura N, Yokota T, Hontani H, Sakata M, Kimura Y
    • Journal Title

      Entropy

      Volume: 19(11) Issue: 11 Pages: 629-629

    • DOI

      10.3390/e19110629

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-ORGANIZER-26108001, KAKENHI-PLANNED-26108003, KAKENHI-PROJECT-15K16067
  • [Journal Article] Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria2017

    • Author(s)
      Tatsuya Yokota, Namgil Lee, and Andrzej Cichocki
    • Journal Title

      IEEE Transactions on Signal Processing

      Volume: Vol. 65, No. 5 Issue: 5 Pages: 1196-1206

    • DOI

      10.1109/tsp.2016.2620965

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Journal Article] Smooth PARAFAC Decomposition for Tensor Completion2016

    • Author(s)
      Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki
    • Journal Title

      IEEE Transactions on Signal Processing

      Volume: 64 Issue: 20 Pages: 5423-5436

    • DOI

      10.1109/tsp.2016.2586759

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-15K16067
  • [Journal Article] Smooth PARAFAC Decomposition for Tensor Completion2015

    • Author(s)
      Tatsuya Yokota, Qibin Zhao, and Andrzej Cichocki
    • Journal Title

      arXiv

      Volume: 1505.06611 Pages: 1-13

    • Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] Neural Tangent KernelによるDeep Image Priorの解析2021

    • Author(s)
      藤田和真,本谷秀堅,横田達也
    • Organizer
      信号処理シンポジウム
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] FAST ALGORITHM FOR LOW-RANK TENSOR COMPLETION IN DELAY EMBEDDED SPACE2021

    • Author(s)
      R. Yamamoto, T. Yokota, A. Imakura, H. Hontani
    • Organizer
      APSIPA ASC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] Tutorial Talk: Advanced Topics of Prior-based Image Restoration: Tensors and Neural Networks2021

    • Author(s)
      T. Yokota
    • Organizer
      APSIPA ASC 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] Deep Image Priorを利用した非負行列分解に基づくダイナミックPET画像再構成2020

    • Author(s)
      下村智茂, 河合和也, 坂田宗之, 木村裕一, 横田達也, 本谷秀堅
    • Organizer
      電子情報通信学会医用画像研究会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] 画像復元のための高階埋め込み多様体モデルの研究2020

    • Author(s)
      横田達也
    • Organizer
      MI研究会/FIT2020
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior2020

    • Author(s)
      横田達也
    • Organizer
      MIRU
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] Non-negative Matrix Factorization in Application to Dynamic PET Image Reconstruction2020

    • Author(s)
      T. Yokota
    • Organizer
      RIKEN-AIP Open Seminar Series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] 高階埋め込み空間における低ランクテンソル補完の高速アルゴリズム2020

    • Author(s)
      山本龍宣,横田達也,今倉暁,本谷秀堅
    • Organizer
      PRMU研究会
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] 病理顕微鏡画像の複数免疫染色間の相互変換と特徴空間の共有2020

    • Author(s)
      足立 秀雄, クグレ マウリシオ, 岩本 千佳, 大内田 研宙, 橋爪 誠, 横田 達也, 本谷 秀堅
    • Organizer
      電子情報通信学会 医用画像研究会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] 信号処理と機械学習による画像復元2020

    • Author(s)
      横田達也
    • Organizer
      第5回統計・機械学習若手シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] 病理画像の染色変換に本質的な特徴の抽出と可視化の試み2020

    • Author(s)
      古賀 諒一, 橋本 典明, 横田 達也, 中黒 匡人, 高野 桂, 中村 栄男, 竹内 一郎, 本谷 秀堅
    • Organizer
      電子情報通信学会 医用画像研究会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] 免疫染色の組み合わせの表現のための非負行列分解による基底ベクトルの獲得2020

    • Author(s)
      黄 果葡, 橋本 典明, 横田 達也, 中黒 匡人, 高野 桂, 中村 栄男, 竹内 一郎, 本谷 秀堅
    • Organizer
      電子情報通信学会 医用画像研究会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Deep Image Prior とサイノグラム正規化によるX線CT画像中の金属アーチファクトの高精度除去2020

    • Author(s)
      佐竹 寛弥, 横田 達也, 大竹 義人, 佐藤 嘉信, 本谷 秀堅
    • Organizer
      電子情報通信学会 医用画像研究会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Tutorial Talk: Tensor Representations in Signal Processing and Machine Learning2020

    • Author(s)
      T. Yokota
    • Organizer
      APSIPA ASC 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04208
  • [Presentation] Tensor Completion with Shift-invariant Cosine Bases2019

    • Author(s)
      Tatsuya Yokota and Hidekata Hontani
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] 膵癌腫瘍病理顕微鏡画像の染色変換2019

    • Author(s)
      足立秀雄, 横田達也, 本谷秀堅, ほか
    • Organizer
      第38回日本医用画像工学会大会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] HE 染色標本画像と診断テキストデータを併用する免疫染色パターン推定2019

    • Author(s)
      橋本典明、横田達也、本谷秀堅ほか
    • Organizer
      第38回日本医用画像工学会大会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Simultaneous PET Image Reconstruction and Feature Extraction Method using Non-negative, Smooth, and Sparse Matrix Factorization2019

    • Author(s)
      Kazuya Kawai and Hidekata Hontani and Tatsuya Yokota and Muneyuki Sakata and Yuichi Kimura
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] ドメイン敵対的学習を用いる病理画像からの悪性リンパ腫候補領域の抽出と病型識別2019

    • Author(s)
      古賀諒一, 横田達也, 本谷秀堅, ほか
    • Organizer
      第38回日本医用画像工学会大会
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains2018

    • Author(s)
      Mauricio Kugler;Yushi Goto;Naoki Kawamura,;Hirokazu Kobayashi;Tatsuya Yokota;Chika Iwamoto;Kenoki Ohuchida;Makoto Hashizume;Hidekata Hontani
    • Organizer
      Miccai Workshop, COMPAY
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image2018

    • Author(s)
      Tomoshige Shimomura;Mauricio Kugler;Tatsuya Yokota;Chika Iwamoto,;Kenoki Ohuchida,;Makoto Hashizume,;Hidekata Hontani
    • Organizer
      Miccai Workshop, COMPAY
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03262
  • [Presentation] Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space2018

    • Author(s)
      Tatsuya Yokota, Hidekata Hontani
    • Organizer
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] An Efficient Method for Adapting Step-size Parameters of Primal-dual Hybrid Gradient Method in Application to Total Variation Regularization2017

    • Author(s)
      Tatsuya Yokota, Hidekata Hontani
    • Organizer
      APSIPA-ASC 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] A Robust PET Image Reconstruction using Constrained Non-negative Matrix Factorization2017

    • Author(s)
      K. Kawai, J. Yamada, H. Hontani, T. Yokota, M. Sakata, and Y. Kimura
    • Organizer
      APSIPA-ASC 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] Simultaneous Visual Data Completion and Denoising based on Tensor Rank and Total Variation Minimization and its Primal-dual Splitting Algorithm2017

    • Author(s)
      Tatsuya Yokota, Hidekata Hontani
    • Organizer
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] Tensor Completion via Functional Smooth Component Deflation2016

    • Author(s)
      Tatsuya Yokota
    • Organizer
      41st International Conference on Acoustics, Speech and Signal Processing
    • Place of Presentation
      Shanghai
    • Year and Date
      2016-03-20
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] Smooth PARAFAC Decomposition for Tensor Completion2015

    • Author(s)
      Tatsuya Yokota
    • Organizer
      Low-rank Optimization and Applications
    • Place of Presentation
      Bonn, Germany
    • Year and Date
      2015-06-08
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • [Presentation] A fast automatic rank determination algorithm for noisy low-rank matrix completion2015

    • Author(s)
      Tatsuya Yokota
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
    • Place of Presentation
      Hong-Kong
    • Year and Date
      2015-12-16
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16067
  • 1.  HONTANI Hidekata (60282688)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 18 results
  • 2.  ZHAO QIBIN (30599618)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 1 results
  • 3.  Kugler Mauricio (70456713)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  片桐 孝洋 (40345434)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  曹 建庭 (20306989)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  三好 寛明 (30647780)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  大島 孝一 (50203766)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  MAURICIO Kugler
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 3 results
  • 9.  岩本 千佳
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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