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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2019-07-26
10:30
Tokyo NATULUCK-Iidabashi-Higashiguchi Ekimaeten Unbiased Estimation Equation for f-Separable Bregman Distortion Measures and the Properties of Its Estimators
Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IT2019-22
In this study, we discuss unbiased estimation equations in a class of objective function using the monotonically increas... [more] IT2019-22
pp.37-42
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Generalized Dirichlet-Process-Means with f-Mean and Analysis of Influence Function
Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IBISML2018-50
DP-means clustering was obtained as an extension of $K$-means clustering. While it is implemented with a simple and effi... [more] IBISML2018-50
pp.45-52
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Online Prediction for Varying Bernoulli Processes by Minimax Strategy
Kenta Konagayoshi, Kazuho Watanabe (Toyohashi Tech) IBISML2018-61
Online prediction methods sequentially predict furure data from time series data. Since online pre-
diction does not ne... [more]
IBISML2018-61
pp.127-134
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Analysis of Empirical Bayes Estimation for Three Parameter Group Lasso
Tsukasa Yoshida, Kazuho Watanabe (Toyohashi Tech) IBISML2018-93
As sparse estimation methods, Lasso and Group Lasso are often used for wide applications. It is necessary for successful... [more] IBISML2018-93
pp.367-372
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Extraction of Distribtion Changes using On-line t-SNE
Daisuke Kaji (Denso), Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) IBISML2017-36
 [more] IBISML2017-36
pp.9-13
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Calculation method for grid-structured markov random field using corner transfer matrix renormalization group
Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] IBISML2017-37
pp.15-22
IBISML 2017-03-06
14:00
Tokyo Tokyo Institute of Technology Exact calculation of grid-structured Markov random field model by corner transfer matrix method
Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2016-101
Calculating the marginal distribution of the grid-structured Markov random field model in probabilistic image processing... [more] IBISML2016-101
pp.9-16
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
IBISML 2013-03-05
11:00
Aichi Nagoya Institute of Technology Non-Achievability of Asymptotic Minimax Regret without Knowledge of the Sample Size
Kazuho Watanabe (NAIST), Teemu Roos, Petri Myllymaki (Helsinki Inst. for Information Tech.) IBISML2012-101
The normalized maximum likelihood (NML) model achieves the minimax regret for coding data of fixed sample size $n$. It i... [more] IBISML2012-101
pp.61-67
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. A Calculating Method for Estimation Accuracy of Latent Variables Based on the Free Energy Functions
Keisuke Yamazaki (Tokyo Tech), Kazuho Watanabe (NAIST), Daisuke Kaji (Konicaminolta MG) IBISML2012-44
(To be available after the conference date) [more] IBISML2012-44
pp.75-81
IBISML 2012-03-13
15:05
Tokyo The Institute of Statistical Mathematics A Method for Packet Loss Rate Estimation Using Active and Passive Measurements
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST) IBISML2011-104
It is an important problem for a network manager to understand characteristics of a network. A method for estimating an ... [more] IBISML2011-104
pp.117-121
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Nonparametric Estimation of Mixture Model and Minimum Divergence Methods
Kazuho Watanabe (NAIST), Shiro Ikeda (ISM) IBISML2011-78
We discuss a nonparametric estimation method of the mixing distribution in mixture models.
We propose an objective fun... [more]
IBISML2011-78
pp.243-249
NC 2011-07-25
13:45
Hyogo Graduate School of Engineering, Kobe University General Framework for Local Variational Approximation of Bayesian Learning Using Bregman Divergence
Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2011-25
The local variational method is a technique to approximate an intractable posterior distribution in Bayesian learning. T... [more] NC2011-25
pp.25-30
IBISML 2011-03-29
16:10
Osaka Nakanoshima Center, Osaka Univ. Minimum Variational Free Energy and Average Generalization Error in Latent Variable Models
Kazuho Watanabe (NAIST) IBISML2010-108
(Advance abstract in Japanese is available) [more] IBISML2010-108
pp.29-36
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Phase Transition Structure in Variational Bayes Learning of Bernoulli Mixture
Daisuke Kaji (Tokyo tech), Kazuho Watanabe (NAIST), Sumio Watanabe (Tokyo tech) IBISML2010-63
(Advance abstract in Japanese is available) [more] IBISML2010-63
pp.27-31
NC 2010-07-27
14:55
Kyoto Kyoto University Hierarchical Bayes method for NIRS-DOT inverse problem and its phase diagrams
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST), Masa-aki Sato (ATR) NC2010-38
The NIRS-DOT is a method to reconstruct tomographic images from the data by solving the linear equations, which have amb... [more] NC2010-38
pp.51-56
NC, MBE
(Joint)
2010-03-10
14:10
Tokyo Tamagawa University Variational Bayes approach for NIRS-DOT inverse problem
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST), Masa-aki Sato (ATR) NC2009-137
NIRS-DOT is tomography which is reconstructed from NIRS data. NIRS-DOT requires to solve the inverse problem which has i... [more] NC2009-137
pp.291-296
NC, MBE
(Joint)
2010-03-10
14:35
Tokyo Tamagawa University Information Divergences in Local Variational Approximation of Bayesian Posterior Distribution
Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2009-138
Local variational method is a technique to approximate intractable posterior distributions in Bayesian learning.
In thi... [more]
NC2009-138
pp.297-302
NC 2008-01-15
16:50
Hokkaido Centennial Hall, Hokkaido Univ. Estimation of an instanteneous spike rate with the transfer matrix method
Hiroyuki Tanaka (Tokyo Univ.), Keiji Miura (Harvard Univ./RIKEN), Kazuho Watanabe (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN) NC2007-96
The neuronal spikes are irregular and unpredictable process, and can be regarded as a kind of the stochastic events.
By... [more]
NC2007-96
pp.55-60
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