Yokota Tatsuya 横田達也

Researcher Number	80733964
Other IDs	https://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

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

Yokota Tatsuya 横田 達也

Research Projects

Research Products

Co-Researchers

Optimization Theories, Algorithms, and Interfeces for General Tensor DecompositionsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of a disease type discriminator based on cell histomorphology and realization of a platform for atypicality analysis of malignant lymphomas

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms Development

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Rank estimation and optimization methods for tensor network decomposition, and its applicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of highly accurate information space for understanding 3D structures of pancreatic tumors

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Model Selection for Tensor Factorization and its Applications for Big Data AnalysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

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

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation.2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization2018

Author(s)

Journal Title

Data Source

[Journal Article] Parametric PET Image Reconstruction via Regional Spatial Bases and Pharmacokinetic Time Activity Model2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Smooth PARAFAC Decomposition for Tensor Completion2016

Yokota Tatsuya 横田達也