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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2019-05-31
10:00
Tokyo   Cross-modal Search using Visually Grounded Multilingual Speech Signal
Yasunori Ohishi, Akisato Kimura, Takahito Kawanishi, Kashino Kunio (NTT), David Harwath, James Glass (MIT) PRMU2019-11
We evaluate a deep neural network model capable of learning to associate images and audio captions describing the conten... [more] PRMU2019-11
pp.283-288
PRMU, BioX 2019-03-18
10:00
Tokyo   A Generative Self-Ensemble Approach to Simulated+Unsupervised Learning
Yu Mitsuzumi (Kyoto Univ.), Go Irie (NTT), Atsushi Nakazawa (Kyoto Univ.), Akisato Kimura (NTT) BioX2018-52 PRMU2018-156
The simulated and unsupervised (S+U) learning framework is an effective approach in computer vision since it solves vari... [more] BioX2018-52 PRMU2018-156
pp.137-142
PRMU, BioX 2017-03-21
14:35
Aichi   Noise Detection of Regression Forests with AutoEncoder
Masaya Hibino (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2016-68 PRMU2016-231
(To be available after the conference date) [more] BioX2016-68 PRMU2016-231
pp.209-214
PRMU 2016-12-15
13:15
Tottori   [Invited Talk] Disambiguation in media understanding -- The 2nd Grand Challenge of PRMU --
Akisato Kimura (NT) PRMU2016-111
(To be available after the conference date) [more] PRMU2016-111
p.7
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. Construction of stochastic processes with combinatorial constraints
Masahiro Nakano, Chihiro Watanabe, Akisato Kimura, Kaoru Hiramstsu (NTT) IBISML2016-69
 [more] IBISML2016-69
pp.163-170
PRMU, BioX 2016-03-25
15:45
Tokyo   Efficient Mondrian Forests by Introducing Supervised Learning
Ryuei Murata (Chubu Univ.), Akisato Kimura, Yoshitaka Ushiku (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2015-73 PRMU2015-196
Mondrian Forests is an online learning method based on framework of Random Forests. At the online learning, Mondrian For... [more] BioX2015-73 PRMU2015-196
pp.191-196
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 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Stochastic process representation of R-tree
Masahiro Nakano, Xiaomeng Wu, Minoru Mori, Akisato Kimura, Kunio Kashino (NTT) IBISML2015-76
This paper discusses a new stochastic process that represents the in nitely exchangeable rectangular partitioning of a m... [more] IBISML2015-76
pp.175-182
PRMU, BioX 2015-03-20
14:00
Kanagawa   Training of Random Forests Using Covariate Shift on Parallel Distributed Processing
Ryoji Wakayama (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2014-73 PRMU2014-193
Machine learning with big data improves a classification performance but increases computatinal cost for learning. Paral... [more] BioX2014-73 PRMU2014-193
pp.205-210
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Fisher's linear discriminant analysis as a communication of categories
Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Hitoshi Sakano (NTT Data), Akisato Kimura (NTT) EA2014-102 SIP2014-143 SP2014-165
 [more] EA2014-102 SIP2014-143 SP2014-165
pp.163-168
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Geometry of Fisher's linear discriminant analysis
Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Hitoshi Sakano (NTT data), Akisato Kimura (NTT) IBISML2014-45
(Advance abstract in Japanese is available) [more] IBISML2014-45
pp.81-86
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
PRMU 2014-10-10
14:00
Chiba   Automatic playlist creation from user playlist networks
Akisato Kimura, Kunio Kashino, Kaoru Hiramatsu, Takahito Kawanishi (NTT) PRMU2014-61
This report presents a novel method for creating playlists by using user playlists on cloud music services. [more] PRMU2014-61
pp.39-44
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
PRMU 2013-02-21
11:00
Osaka   INDIVIDUAL PREFERENCE ANALYSIS WITH SOCIALITY-AWARE TOPIC MODEL FOR PERSONALIZED IMAGE RETRIVAL
Kaori Kataoka, Akisato Kimura, Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2012-133
We proposed a novel method for personalized image retrieval that ranks search results in the order of th... [more] PRMU2012-133
pp.19-24
PRMU 2013-02-22
10:40
Osaka   [Special Talk] Social curation as corpora for large-scale multimedia content analysis
Akisato Kimura (NTT) PRMU2012-166
We are entering the age of ubiquitous social media. User-generated content such as microblogs have become so pervasive s... [more] PRMU2012-166
pp.161-166
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
PRMU, HIP 2012-03-29
15:20
Hyogo   [Survey paper] On computational models of human visual attention
Akisato Kimura (NTT), Ryo Yonetani (Kyoto Univ.), Takatsugu Hirayama (Nagoya Univ.) PRMU2011-255 HIP2011-83
We humans are easily able to instantaneously detect regions in a visual scene that are most likely to contain something ... [more] PRMU2011-255 HIP2011-83
pp.89-100
PRMU, MVE, CQ, IPSJ-CVIM [detail] 2012-01-19
16:05
Osaka   On the Image Segmentation Method
Ryo Yonetani, Akisato Kimura, Hitoshi Sakano (NTT), Ken Fukuchi (JAIST) PRMU2011-158 MVE2011-67
(To be available after the conference date) [more] PRMU2011-158 MVE2011-67
pp.103-108
PRMU 2011-02-18
10:30
Saitama   A Report on the TRECVID 2010 Instance Search Task
Takahito Kawanishi, Akisato Kimura, Kunio Kashino (NTT), Shin'ichi Satoh, Duy-Dinh Le, Xiaomeng Wu, Sebastien Poullot (NII) PRMU2010-220
As a first step to the instance search task of TRECVID 2010, we employed several existing image retrieval methods in com... [more] PRMU2010-220
pp.81-86
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