Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Masao Yamagishi"'
Publikováno v:
Algorithms, Vol 14, Iss 11, p 312 (2021)
This paper proposes a new group-sparsity-inducing regularizer to approximate ℓ2,0 pseudo-norm. The regularizer is nonconvex, which can be seen as a linearly involved generalized Moreau enhancement of ℓ2,1-norm. Moreover, the overall convexity of
Externí odkaz:
https://doaj.org/article/64f9e46ca8f4408a91b5946d0094eaf3
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8ae3333ddbb6e4c0f1759b3d8bdbdd
https://doi.org/10.1587/transfun.2022eap1118
https://doi.org/10.1587/transfun.2022eap1118
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :680-690
Approximate Simultaneous Diagonalization (ASD) is a problem to find a common similarity transformation which approximately diagonalizes a given square-matrix tuple. Many data science problems have been reduced into ASD through ingenious modelling. Fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e74f5e124d65b5aa2698ed8dc902ad10
https://doi.org/10.1587/transfun.2020eap1062
https://doi.org/10.1587/transfun.2020eap1062
Publikováno v:
MLSP
In this paper, we propose a constrained LiGME (cLiGME) model by incorporating newly multiple convex constraints into the LiGME (Linearly involved Generalized Moreau Enhanced) model which was established recently for many scenarios in sparsity-rank-aw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8a6ba5bf71e2b506c21ef8fc433e7bd
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100879413
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100879413
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51de739a9fe725892cb49443ad420249
https://doi.org/10.23919/eusipco54536.2021.9616042
https://doi.org/10.23919/eusipco54536.2021.9616042
Publikováno v:
Neural Computing and Applications. 32:7097-7120
A novel algorithm to solve the quadratic programming (QP) problem over ellipsoids is proposed. This is achieved by splitting the QP problem into two optimisation sub-problems, (1) quadratic programming over a sphere and (2) orthogonal projection. Nex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461dae1cc19163207fe43bdc014222d0
https://doi.org/10.1007/s00521-019-04191-z
https://doi.org/10.1007/s00521-019-04191-z
Exploiting Commutativity Condition for CP Decomposition via Approximate Simultaneous Diagonalization
Publikováno v:
ICASSP
In this paper, we propose a novel strategy which utilizes an inherent algebraic property of simultaneously diagonalizable matrix tuples, i.e., commutativity, for both (i) reducing approximate CP decomposition of a higher-order tensor to Approximate S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15793a25c7d3d64f170c9b9800a7d066
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100838876
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100838876
Publikováno v:
IEEE Transactions on Signal Processing. 66:6363-6376
Recovery of certain piecewise continuous signals from noisy observations has been a major challenge in sciences and engineering. In this paper, in a tight-dimensional representation space, we exploit sparsity hidden in a class of possibly discontinuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd92e0c5922ef85db26ae241ef3230b
https://doi.org/10.1109/tsp.2018.2876328
https://doi.org/10.1109/tsp.2018.2876328
Publikováno v:
Multidimensional Systems and Signal Processing. 29(no. 1):433-465
For adaptive extraction of generalized eigensubspace, Nguyen, Takahashi and Yamada proposed a scheme for solving generalized Hermitian eigenvalue problem based on nested orthogonal complement structure. This scheme can extract multiple generalized ei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ca8f61f2b007395804b5e3c2f124b4
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100778516
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100778516