Tatsuya Yokota
Tatsuya Yokota
Nagoya Institute of Technology, RIKEN Center for Advanced Intelligence Project (AIP), JST ACT-i
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nitech.ac.jp
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Παρατίθεται από
Παρατίθεται από
Έτος
Smooth PARAFAC Decomposition for Tensor Completion
T Yokota, Q Zhao, A Cichocki
IEEE Transactions on Signal Processing 64 (20), 5423-5436, 2016
1472016
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
442016
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
422015
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
302017
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
292018
Linked PARAFAC/CP tensor decomposition and its fast implementation for multi-block tensor analysis
T Yokota, A Cichocki, Y Yamashita
International Conference on Neural Information Processing, 84-91, 2012
292012
Simultaneous tensor completion and denoising by noise inequality constrained convex optimization
T Yokota, H Hontani
IEEE Access 7 (1), 15669-15682, 2019
202019
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
152019
Multilinear Tensor Rank Estimation via Sparse Tucker Decomposition
T Yokota, A Cichocki
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International …, 2014
132014
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 (12 …, 2019
112019
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
92020
Landmark-based reconstruction of 3D smooth structures from serial histological sections
N Kawamura, H Kobayashi, T Yokota, H Hontani, C Iwamoto, K Ohuchida, ...
Medical Imaging 2018: Digital Pathology 10581, 105811E, 2018
92018
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
72019
EEG correlates of voice and face emotional judgments in the human brain
K Hiyoshi-Taniguchi, M Kawasaki, T Yokota, H Bakardjian, H Fukuyama, ...
Cognitive Computation 7 (1), 11-19, 2015
72015
Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains
M Kugler, Y Goto, N Kawamura, H Kobayashi, T Yokota, C Iwamoto, ...
Computational Pathology and Ophthalmic Medical Image Analysis, 35-43, 2018
62018
Semi-automated biomarker discovery from pharmacodynamic effects on EEG in ADHD rodent models
T Yokota, ZR Struzik, P Jurica, M Horiuchi, S Hiroyama, J Li, Y Takahara, ...
Scientific reports 8 (1), 1-15, 2018
62018
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
62017
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, 2020
5*2020
Tensor completion via functional smooth component deflation
T Yokota, A Cichocki
2016 IEEE international conference on acoustics, speech and signal …, 2016
52016
A fast automatic low-rank determination algorithm for noisy matrix completion
T Yokota, A Cichocki
2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015
52015
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