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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 #
IBISML 2018-03-05
17:25		 Fukuoka Nishijin Plaza, Kyushu University Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables
Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97		 Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] IBISML2017-97
pp.49-53
IBISML 2014-11-18
15:00		 Aichi Nagoya Univ. [Poster Presentation] Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation
Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64		 Latent Dirichlet allocation (LDA) is a popular generative model
of various objects such as texts and images,
where an ... [more]		 IBISML2014-64
pp.219-226
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
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
15:30		 Tokyo   Hierarchical Properties of Multi-resolutions of Optical Flow
Yusuke Kameda, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-46 IBISML2012-29		 Most of the methods to compute optical flows are
variational-technique-based methods, which
assume that image functio... [more]		 PRMU2012-46 IBISML2012-29
pp.149-155
MBE, NC
(Joint)		 2011-11-24
16:10		 Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University An image restoration method for Poisson observation using a latent variational approximation
Hayaru Shouno (UEC), Ken Takiyama, Masato Okada (The Univ. of Tokyo) NC2011-73		 In this study, we treat an image restoration problem throughout a Poisson noise channel observation. The Poisson noise c... [more] NC2011-73
pp.11-16
PRMU 2009-10-23
09:30		 Hiroshima Hiroshima Univ. Super-resolution Optical Flow using Variational Method
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Takashi Imaizumi (Chiba Univ) PRMU2009-83		 We develop an algorithm for the super-resolution optical flow computation,
by combining variational super-resolution ... [more]		 PRMU2009-83
pp.69-74
 Results 1 - 6 of 6  /   
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