Tatsuya Yokota
Tatsuya Yokota
Nagoya Institute of Technology, RIKEN Center for Advanced Intelligence Project (AIP)
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Smooth PARAFAC Decomposition for Tensor Completion
T Yokota, Q Zhao, A Cichocki
IEEE Transactions on Signal Processing 64 (20), 5423-5436, 2016
Missing slice recovery for tensors using a low-rank model in embedded space
T Yokota, B Erem, S Guler, SK Warfield, H Hontani
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Robust multilinear tensor rank estimation using higher order singular value decomposition and information criteria
T Yokota, N Lee, A Cichocki
IEEE Transactions on Signal Processing 65 (5), 1196-1206, 2016
Block Hankel tensor ARIMA for multiple short time series forecasting
Q Shi, J Yin, J Cai, A Cichocki, T Yokota, L Chen, M Yuan, J Zeng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5758-5766, 2020
Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis
T Yokota, R Zdunek, A Cichocki, Y Yamashita
Signal Processing 113, 234-249, 2015
Simultaneous visual data completion and denoising based on tensor rank and total variation minimization and its primal-dual splitting algorithm
T Yokota, H Hontani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Dynamic PET image reconstruction using nonnegative matrix factorization incorporated with deep image prior
T Yokota, K Kawai, M Sakata, Y Kimura, H Hontani
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Simultaneous tensor completion and denoising by noise inequality constrained convex optimization
T Yokota, H Hontani
IEEE Access 7 (1), 15669-15682, 2019
Linked PARAFAC/CP tensor decomposition and its fast implementation for multi-block tensor analysis
T Yokota, A Cichocki, Y Yamashita
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
Manifold modeling in embedded space: An interpretable alternative to deep image prior
T Yokota, H Hontani, Q Zhao, A Cichocki
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1022-1036, 2020
Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks
T Yokota, T Maki, T Nagata, T Murakami, Y Ugawa, I Laakso, A Hirata, ...
Brain stimulation 12 (6), 1500-1507, 2019
Multilinear Tensor Rank Estimation via Sparse Tucker Decomposition
T Yokota, A Cichocki
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International …, 2014
Matrix and tensor completion in multiway delay embedded space using tensor train, with application to signal reconstruction
F Sedighin, A Cichocki, T Yokota, Q Shi
IEEE Signal Processing Letters 27, 810-814, 2020
Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation
M Kugler, Y Goto, Y Tamura, N Kawamura, H Kobayashi, T Yokota, ...
International journal of computer assisted radiology and surgery 14, 2047-2055, 2019
Development of super-high strength Al-Zn-Mg-Cu P/M alloys
J Kusui, K Fujii, K Yokoe, T Yokota, K Osamura, O Kubota, H Okuda
Mater. Sci. Forum, 217-222, 1823
An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization
T Yokota, H Hontani
2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017
Tensor completion with shift-invariant cosine bases
T Yokota, H Hontani
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
Tensors for Data Processing: Theory, Methods, and Applications
Y Liu
Academic Press, 2021
Tensor completion via functional smooth component deflation
T Yokota, A Cichocki
2016 IEEE international conference on acoustics, speech and signal …, 2016
Fast algorithm for low-rank tensor completion in delay-embedded space
R Yamamoto, H Hontani, A Imakura, T Yokota
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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