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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2021-07-09
14:30		 Online Online Construction of Dimension Reduction Matrix for Signal Recovery of Multivariate Gaussian Vectors
Kento Yokoyama, Tadashi Wadayama, Satoshi Takabe (NIT) IT2021-26		 In compressed sensing, we discuss the problem of estimating the sparse original signal $¥bm{x} ¥in ¥mathbb{R}^n$ from th... [more] IT2021-26
pp.63-68
SP, EA, SIP 2020-03-02
10:10		 Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)		 Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52		 Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
pp.13-19
EA 2019-12-13
13:25		 Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78		 In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
pp.85-92
EA, ASJ-H 2019-10-28
14:00		 Tokyo NHK Science&Technology Research Lab. FastMNMF based on multivariant complex Student's t distribution for blind source separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40		 FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] EA2019-40
pp.23-29
EA, SIP, SP 2019-03-14
15:40		 Nagasaki i+Land nagasaki (Nagasaki-shi) Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo) EA2018-128 SIP2018-134 SP2018-90		 In this paper, we generalize a generative model in estimation of rank-constrained spatial covariance model that separate... [more] EA2018-128 SIP2018-134 SP2018-90
pp.173-178
IBISML 2014-03-06
13:50		 Nara Nara Women's University Finding scale-free networks of Gaussian graphical models by sampling
Shota Shikita, Osamu Maruyama (Kyushu Univ.) IBISML2013-69		 The problem of learning the structure of a Gaussian graphical model is to infer the graph representing the relationship ... [more] IBISML2013-69
pp.15-22
 Results 1 - 6 of 6  /   
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