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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)		 2017-03-13
13:35		 Tokyo Kikai-Shinko-Kaikan Bldg. A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83		 Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
cell... [more]		 NC2016-83
pp.115-120
PRMU 2013-02-22
10:00		 Osaka   Image recognition based on hidden Markov eigen-image models with the variational Bayesian method
Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-165		 This paper proposes an image recognition technique based on Hidden Markov Eigen-image Models (HMEMs) using the variation... [more] PRMU2012-165
pp.155-160
IBISML 2011-11-09
15:45		 Nara Nara Womens Univ. An Extension of Probabilistic PCA for Correlated Samples
Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50		 Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extracti... [more] IBISML2011-50
pp.57-60
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-05
10:00		 Hokkaido   Global Solution of Variational Bayesian Matrix Factorization Under Matrix-wise Independence
Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) PRMU2011-58 IBISML2011-17		 Variational Bayesian matrix factorization (VBMF) efficiently
approximates the posterior distribution of factorized mat... [more]		 PRMU2011-58 IBISML2011-17
pp.1-8
NC, MBE
(Joint)		 2010-03-11
17:15		 Tokyo Tamagawa University Analysis of Autocorrelation type Associative Memory Model with Hierarchical Patterns by Using PCA
Teijiro Shiotsuka (Waseda Univ.), Kenji Nagata, Koji Hukushima (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Masato Inoue (Waseda Univ.) NC2009-158		 The statistical mechanical approach is useful and has been applied to various problems in the field of information proce... [more] NC2009-158
pp.413-418
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