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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 #
PRMU 2015-12-21
10:40
Nagano   [Special Talk] A survey of the topic models for statistical pattern recognition researchers
Katsuhiko Ishiguro, Akisato Kimura (NTT) PRMU2015-102
In this technical report, we give a brief survey on the topic models. Topic models have been studied intensively in
var... [more]
PRMU2015-102
pp.13-24
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Infinitely exchangeable rectangular partitioning
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2014-77
(Advance abstract in Japanese is available) [more] IBISML2014-77
pp.313-320
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Floor-plan partitioning stochastic processes for relational data analysis
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2013-62
This paper presents a floor-plan partitioning stochastic process, that can potentially generate arbitrary rectangular pa... [more] IBISML2013-62
pp.197-204
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Subset Infinite Relational Model
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada (NTT) IBISML2012-37
We propose a new probabilistic generative model for analyzing sparse and noisy relational data, such as friend-links on ... [more] IBISML2012-37
pp.23-30
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. sNMF : Stacked Non-negative Matrix Factorization -- Its Application For Social Media Analysis --
Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada (NTT) IBISML2012-43
This paper proposes a new technique named Stacked Non-negative Matrix Factorization (sNMF), which factorizes multiple no... [more] IBISML2012-43
pp.67-74
IBISML 2012-03-12
10:50
Tokyo The Institute of Statistical Mathematics Detecting Latent Structural Changes via Latent Dirichlet Allocation
Masashi Ueda, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo), Katsuhiko Ishiguro, Hiroshi Sawada, Naonori Ueda (NTT) IBISML2011-89
Detecting changes in consumers' latent preference is a fundamental challenge for improving recommendation systems as wel... [more] IBISML2011-89
pp.15-20
PRMU, HIP 2010-03-16
15:55
Kagoshima Kagoshima Univ. Multiclass Boosting for Early Classification of Sequences
Katsuhiko Ishiguro, Hiroshi Sawada, Hitoshi Sakano (NTT) PRMU2009-316 HIP2009-201
We propose a novel boosting method for early classification of sequences. In many practical problems, we would
like to ... [more]
PRMU2009-316 HIP2009-201
pp.489-494
PRMU, DE 2007-06-29
15:45
Hokkaido Hokkaido Univ. Adaptive Parameter Estimation On Multiple-Target Tracking Problem
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda (NTT) DE2007-19 PRMU2007-45
We address a parameter estimation problem for data association in multi-target tracking task.
Many existing methods re... [more]
DE2007-19 PRMU2007-45
pp.105-110
PRMU, TL 2006-02-24
11:15
Ibaraki   Realtime Motion Recognition by using CHLAC feature and Grid Computing
Takayoshi Shiraki, Katsuhiko Ishiguro, Ryo Fukano, Yoshikazu Kamoshida, Tatsuya Shirai, Hideo Saito, Kenjiro Taura, Mihoko Otake, Tomomasa Sato (Univ. of Tokyo), Nobuyuki Otsu (AIST)
 [more] TL2005-83 PRMU2005-218
pp.97-102
PRMU 2004-10-22
11:30
Hiroshima   Inter-modal Learning for Acquiring Concepts from Audio-visual Input
Katsuhiko Ishiguro (Univ. Tokyo), Nobuyuki Otsu (AIST/Univ. Tokyo), Yasuo Kuniyoshi (Univ. Tokyo)
We propose an inter-modal learning system which acquires concepts
from auditory and visual information. The system ex... [more]
PRMU2004-92
pp.17-24
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