Masao Yamagishi
Masao Yamagishi
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Zitiert von
Zitiert von
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
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
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
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
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
Over-relaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize
M Yamagishi, I Yamada
Inverse Problems 27 (10), 105008, 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
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
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
A convexly constrained LiGME model and its proximal splitting algorithm
W Yata, M Yamagishi, I Yamada
arXiv preprint arXiv:2105.02994, 2021
Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization
M Yamagishi, I Yamada
Inverse Problems 33 (4), 044003, 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
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
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
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
A Linearly Involved Generalized Moreau Enhancement of 2,1-Norm with Application to Weighted Group Sparse Classification
Y Chen, M Yamagishi, I Yamada
Algorithms 14 (11), 312, 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
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
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
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
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