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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 # |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48 |
A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] |
IBISML2018-48 pp.29-36 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Variational Approximation Accuracy in Non-negative Matrix Factorization Naoki Hayashi (MSI) IBISML2018-51 |
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] |
IBISML2018-51 pp.53-60 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Extraction of Cluster Structural Changes using Variational Bayes Daisuke Kaji (Denso), Kazuho Watanabe (Toyohashi Tech.) IBISML2016-78 |
Variational Bayes learning (VB) is widely applied to clustering problems as the low computational cost algorithm of Baye... [more] |
IBISML2016-78 pp.229-233 |
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 |
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 |
NC |
2011-07-26 11:00 |
Hyogo |
Graduate School of Engineering, Kobe University |
Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation Ryota Hasegawa (Kansai Univ.), Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) NC2011-35 |
We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayes... [more] |
NC2011-35 pp.81-86 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
On the difference between Bayes and Variational Bayes in a normal mixture Tetsutaro Yamada, Sumio Watanabe (Tokyo Tech.) IBISML2010-84 |
Variational Bayes method or mean field approximation
is widely used because it enables us to estimate the information s... [more] |
IBISML2010-84 pp.181-186 |
NC |
2007-03-15 15:30 |
Tokyo |
Tamagawa University |
Deterministic Annealing in Variational Baysian Algorithm Kentaro Katahira (Univ. Tokyo/RIKEN), Kazuho Watanabe (Tokyo Tech), Masato Okada (Univ. Tokyo/RIKEN) |
Variational Bayes (VB) algorithm is widely used as an approximation of Bayesian method. The VB algorithm can approximate... [more] |
NC2006-183 pp.177-182 |
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