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]
Discovery of Governing equations in Reproducing Kernel Hilbert space Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN) IBISML2018-65 |
It has great value in lots of scientific fields, e.g., physics, chemistry, and biology, to discover governing equations ... [more] |
IBISML2018-65 pp.159-166 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Estimating Proton Conductivity in Crystals by using Guassian Process and Dynamic Programming Kenta Kanamori (NITech), Kazuaki Toyoura (Kyoto Univ.), Shinichi Nakajima (TU Berlin), Atsuto Seko (Kyoto Univ.), Masayuki Karasuyama (NITech), Akihide Kuwabara (JFCC), Junya Honda (Tokyo Univ.), Kazuki Shitara (JFCC), Motoki Shiga (Gifu Univ.), Ichiro Takeuchi (NITech) IBISML2016-73 |
In material science, $proton conductivity$ is very important property for designing new battery and it is defined as max... [more] |
IBISML2016-73 pp.191-198 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Theoretical Analysis of Empirical MAP and Empirical Partially Bayes Shinichi Nakajima (TU Berlin), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-38 |
Variational Bayesian (VB) learning is known to be a
promising
approximation to Bayesian learning
with computational... [more] |
IBISML2014-38 pp.25-32 |
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 |
IBISML |
2013-11-12 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Global Solvers for Variational Bayesian Low-rank Subspace Clustering Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37 |
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning,
is generally per... [more] |
IBISML2013-37 pp.7-14 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Efficient Exhaustive Search for Variable Selection with Exchange Monte Carlo Method Kenji Nagata (Univ. of Tokyo), Jun Kitazono (JST), Shinichi Nakajima (Nikon), Satoshi Eifuku (Fukushima Medical Univ.), Ryoi Tamura (Univ. of Toyama), Masato Okada (Univ. of Tokyo) IBISML2013-61 |
[more] |
IBISML2013-61 pp.191-196 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Learning Common Features of Parametrized Tasks Ichiro Takeuchi, Tatsuya Hongo (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.), Shinichi Nakajima (Nikon) IBISML2013-66 |
We introduce a novel formulation of multi-task learning (MTL) called parametric task learning (PTL) that can systematica... [more] |
IBISML2013-66 pp.225-232 |
PRMU |
2013-03-14 17:30 |
Tokyo |
|
Automatic Generation of Subjective Sentence from Image for Social Networking and Micro-blog Services Hiroko Kobayashi, Nobuhiro Fujinawa, Hidenori Kuribayashi, Toyoharu Sasaki, Takeshi Matsuo, Shinichi Nakajima (Nikon) PRMU2012-203 |
Generating sentences from a given image is becoming an active area of research. Obtaining sentences
that objectively de... [more] |
PRMU2012-203 pp.135-139 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
On Dimensionality Recovery Guarantee of Variational Bayesian PCA Shinichi Nakajima (Nikon), Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2012-66 |
The variational Bayesian (VB) approach is
one of the best tractable approximations to the Bayesian estimation,
and it ... [more] |
IBISML2012-66 pp.229-236 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Generalization of Matrix Factorization for Robust PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2011-61 |
Principal component analysis (PCA) can be regarded as approximating a
data matrix with
a low-rank one by imposing spar... [more] |
IBISML2011-61 pp.127-134 |
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 |
IBISML |
2011-03-29 10:30 |
Osaka |
Nakanoshima Center, Osaka Univ. |
On Automatic Dimensionality Selection in Probabilistic PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech./JST), Derin Babacan (Illinois of.Univ.) IBISML2010-123 |
In probabilistic PCA,
the fully Bayesian estimation is computationally intractable.
To cope with this problem,
two ty... [more] |
IBISML2010-123 pp.131-138 |
PRMU |
2011-02-18 11:00 |
Saitama |
|
Event Detection by Multiple Keyframes Extraction Based on Scene Length
-- Nikon Multimedia Event Detection System -- Takeshi Matsuo, Shinichi Nakajima (Nikon) PRMU2010-221 |
[more] |
PRMU2010-221 pp.87-91 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Global Analytic Solution for Variational Bayesian Matrix Factorization and its Model-induced Regularization Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Ryota Tomioka (Univ. of Tokyo) IBISML2010-99 |
Bayesian methods of matrix factorization (MF) have been actively explored recently
as promising alternatives to classic... [more] |
IBISML2010-99 pp.291-302 |
NC |
2006-03-15 11:00 |
Tokyo |
Tamagawa University |
Analysis of Hierarchical Variational Bayes Approach in Linear Inverse Problem Shinichi Nakajima, Sumio Watanabe (Tokyo Inst. of Tech./Nikon) |
It is known that,
in singular models,
the Bayes estimation commonly has the advantage of generalization performance
o... [more] |
NC2005-117 pp.67-72 |
NC |
2005-10-17 - 2005-10-18 |
Kyoto |
|
Analysis of Subspace Bayes Approach in Linear Neural Networks
-- Relation between Bayesian Approach and Shrinkage Estimation -- Shinichi Nakajima, Sumio Watanabe (Titech) |
[more] |
NC2005-49 pp.19-24 |