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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2023-03-17 14:30 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Global Convergence Analysis of Distributed HALS Algorithm for Nonnegative Matrix Factorization Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-104 NLP2022-149 |
As a fast computational method for Nonnegative Matrix Factorization (NMF),
the Hierarchical Alternating Least Squares ... [more] |
MSS2022-104 NLP2022-149 pp.198-203 |
NLP, MSS |
2023-03-17 14:50 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Reformulation of Optimization Problem in Randomized NMF and Proposal of A Novel Iterative Update Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-105 NLP2022-150 |
As an approach to efficiently perform large-scale Nonnegative Matrix Factorization (NMF), a randomized NMF was recently ... [more] |
MSS2022-105 NLP2022-150 pp.204-209 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:50 |
Online |
Online |
Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3 |
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] |
NC2021-3 IBISML2021-3 pp.15-22 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 14:15 |
Online |
Online |
Modification of Optimization Problem in Randomized NMF and Design of Optimization Method based on HALS Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-4 IBISML2021-4 |
Nonnegative matrix factorization (NMF) is the process of decomposing a given nonnegative matrix into two nonnegative fac... [more] |
NC2021-4 IBISML2021-4 pp.23-30 |
IT, SIP, RCS |
2017-01-20 10:50 |
Osaka |
Osaka City Univ. |
A New Iterative Method for Nonnegative Matrix Factorization with Sparsity and Smoothness and Its Global Convergence Takumi Kimura, Norikazu Takahashi (Okayama Univ.) IT2016-93 SIP2016-131 RCS2016-283 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] |
IT2016-93 SIP2016-131 RCS2016-283 pp.273-278 |
EA, SIP |
2007-05-24 17:20 |
Osaka |
Osaka Univ. |
Extraction of the global signal from multi-channel noisy signals and its application in EEG processing Yoshikazu Washizawa (RIKEN), Yukihiko Yamashita (Tokyo Inst. of Tech), Toshihisa Tanaka (Tokyo Univ.of Agriculture and Tech.), Andrzej Cichocki (RIKEN) EA2007-17 SIP2007-21 |
We propose a signal extraction method from multi-sensor network
when each observed signal consists of a global signal ... [more] |
EA2007-17 SIP2007-21 pp.61-66 |
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