Bias Reduction for Feature Grouping Based on a Limit of Moreau-Enhanced OSCAR Regularizer

Kyohei Suzuki, Masahiro Yukawa

Proc. IEICE Signal Processing Symposium   2024.12

Sparse Signal Recovery Based on Continuous Relaxation of Reversely Ordered Weighted \ell_1 Shrinkage Operator

Taiki Okuda, Kyohei Suzuk, Masahiro Yukawa

Proc. IEICE Signal Processing Symposium   2024.12

External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity Reviewed International journal

Kyohei Suzuki, Masahiro Yukawa

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)   9471 - 9475   2024.4

Debiased Estimation of Signals with Structured Sparsity Based on External Division of Two Proximity Operators

Kyohei Suzuki, Masahiro Yukawa

IEICE SIP Symposium   1 - 6   2023.11

Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression Reviewed

Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada

IEEE Transactions on Signal Processing   2023.3

Multiscale Manifold Clustering and Embedding with Multiple Kernels

Kyohei Suzuki, Masahiro Yukawa

IEICE Technical Repor   122 ( 388 )   276 - 281   2023.2

Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise Reviewed

Kyohei Suzuki, Masahiro Yukawa

IEEE Transactions on Signal Processing   71   372 - 387   2023.2

Sparse Stable Outlier-Robust Regression with Minimax Concave Function. Reviewed

Kyohei Suzuki, Masahiro Yukawa

32nd IEEE International Workshop on Machine Learning for Signal Processing(MLSP)   1 - 6   2022.8

On Grouping Effect of Sparse Stable Outlier-Robust Regression Reviewed

Kyohei Suzuki, Masahiro Yukawa

32nd IEEE International Workshop on Machine Learning for Signal Processing(MLSP)   1 - 6   2022.8

Stable Robust Regression under Sparse Outlier and Gaussian Noise. Reviewed

Masahiro Yukawa, Kyohei Suzuki, Isao Yamada

30th European Signal Processing Conference(EUSIPCO)   2236 - 2240   2022.8

Sparse Stable Outlier-Robust Regression Using Minimax Concave Function

Kyohei Suzuki, Masahiro Yukawa

IEICE SIP Symposium   96 - 101   2021.9

Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function. Reviewed

Kyohei Suzuki, Masahiro Yukawa

28th European Signal Processing Conference(EUSIPCO)   2070 - 2074   2021.1

Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function Reviewed

Kyohei Suzuki, Masahiro Yukawa

IEEE Transactions on Signal Processing   69   669 - 681   2020.12

A robust approach to jointly-sparse signal recovery based on minimax concave loss function

Kyohei Suzuki, Masahiro Yukawa

119 ( 440 )   123 - 128   2020.3