| Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings I Yamada, M Yukawa, M Yamagishi Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 345-390, 2011 | 130 | 2011 |
| Graph signal denoising via trilateral filter on graph spectral domain M Onuki, S Ono, M Yamagishi, Y Tanaka IEEE Transactions on Signal and Information Processing over Networks 2 (2 …, 2016 | 115 | 2016 |
| A sparse adaptive filtering using time-varying soft-thresholding techniques Y Murakami, M Yamagishi, M Yukawa, I Yamada 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 113 | 2010 |
| Active data selection for motor imagery EEG classification N Tomida, T Tanaka, S Ono, M Yamagishi, H Higashi IEEE Transactions on Biomedical Engineering 62 (2), 458-467, 2014 | 72 | 2014 |
| Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition J Abe, M Yamagishi, I Yamada Inverse Problems 36 (3), 035012, 2020 | 38 | 2020 |
| Over-relaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize M Yamagishi, I Yamada Inverse Problems 27 (10), 105008, 2011 | 37 | 2011 |
| Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification M Yamagishi, M Yukawa, I Yamada 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 26 | 2011 |
| Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique M Yukawa, Y Tawara, M Yamagishi, I Yamada 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2749-2752, 2012 | 20 | 2012 |
| Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization M Yamagishi, I Yamada Inverse Problems 33 (4), 044003, 2017 | 19 | 2017 |
| A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach S Ono, M Yamagishi, I Yamada 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 19 | 2013 |
| Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition AH Phan, M Yamagishi, D Mandic, A Cichocki Neural Computing and Applications 32, 7097-7120, 2020 | 18 | 2020 |
| Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise T Yamamoto, M Yamagishi, I Yamada 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 18 | 2012 |
| Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting I Yamada, S Gandy, M Yamagishi 2011 19th European Signal Processing Conference, 1929-1933, 2011 | 16 | 2011 |
| Convexity-edge-preserving signal recovery with linearly involved generalized minimax concave penalty function J Abe, M Yamagishi, I Yamada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 15 | 2019 |
| A convexly constrained LiGME model and its proximal splitting algorithm W Yata, M Yamagishi, I Yamada arXiv preprint arXiv:2105.02994, 2021 | 11 | 2021 |
| Sparse system identification by exponentially weighted adaptive parallel projection and generalized soft-thresholding M Yamagishi, M Yukawa, I Yamada Proc. APSIPA ASC, 367-370, 2010 | 11 | 2010 |
| Exploiting sparsity in tight-dimensional spaces for piecewise continuous signal recovery H Kuroda, M Yamagishi, I Yamada IEEE Transactions on Signal Processing 66 (24), 6363-6376, 2018 | 10 | 2018 |
| Untersuchungen über das entgiftende Hormon der Leber (Yakriton). 71. Mitt. Orientierende Versuche über die prophylaktische Wirkung des Yakritons bei der Scharlach-Nephritis A Sato, M Yamagishi, J Abe, M Yoshida Tôhoku J. exper. méd. 28, 156, 1936 | 9 | 1936 |
| Hierarchical Convex Optimization by the Hybrid Steepest Descent Method with Proximal Splitting Operators—Enhancements of SVM and Lasso I Yamada, M Yamagishi Splitting Algorithms, Modern Operator Theory, and Applications, 413-489, 2019 | 8 | 2019 |
| Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting M Yamagishi, I Yamada 2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013 | 8 | 2013 |
Shunsuke OnoAssociate Professor, Department of Computer Science, Institute of Science TokyoBestätigte E-Mail-Adresse bei c.titech.ac.jp
