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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2021-10-14
13:00
Online Online X-bio on bio-x
Hitoshi Sakano (Shimane Univ.) BioX2021-42
 [more] BioX2021-42
pp.1-2
BioX 2015-08-24
15:10
Hokkaido Otaru Port Marina A Study on Mutual Subspace Method Applied in Gait Recognition
Yumi Iwashita (Kyushu Univ.), Hitoshi Sakano (NTT Data Corp.), Ryo Kurazume (Kyushu Univ.) BioX2015-15
We previously proposed a gait-based person recognition method using a mutual subspace method (MSM), with an assumption t... [more] BioX2015-15
pp.11-14
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
PRMU 2013-03-14
10:00
Tokyo   Correction term of fisher discriminant analysis based on normal distribution
Tatsuya Yokota (Tokyo Inst. of Tech.), Toru Wakahara (Hosei Univ.), Hitoshi Sakano (NTT), Yukihiko Yamashita (Tokyo Inst. of Tech.) PRMU2012-185
Fisher's linear discriminant is one of the most basic feature extraction methods for pattern recognition. However, even ... [more] PRMU2012-185
pp.31-36
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 2011-11-24
10:45
Nagasaki   Online Numeral Recognition
Minoru Mori (NTT), Seiichi Uchida (Kyushu Univ.), Hitoshi Sakano (NTT) PRMU2011-102
(To be available after the conference date) [more] PRMU2011-102
pp.19-24
PRMU, FM 2010-12-09
16:10
Yamaguchi   On a dynamically changing learning strategy for interactive visual scene understanding
Akisato Kimura, Yasuhiro Minami, Hitoshi Sakano, Eisaku Maeda, Hiroaki Sugiyama (NTT) PRMU2010-135
We humans believe that we can easily and naturally understand and verbalize most of given visual scenes. On the other ha... [more] PRMU2010-135
pp.53-54
PRMU, FM 2010-12-09
17:10
Yamaguchi   Revisiting CLAFIC and Well Balanced Perceptoron -- Are we on the closed loop? --
Hitoshi Sakano (NTT), Seiji Hotta (TUAT) PRMU2010-137
 [more] PRMU2010-137
pp.61-65
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
09:00
Fukuoka Fukuoka Univ. Behavior of kernel mutual subspace method with respect to parameters
Seiji Hotta (TUAT), Tomokazu Kawahara, Osamu Yamaguchi (Toshiba Corp.), Hitoshi Sakano (NTT) PRMU2010-57 IBISML2010-29
Optimizing parameters of kernel methods is an unsolved problem. We report the experimental evaluation and the considerat... [more] PRMU2010-57 IBISML2010-29
pp.1-6
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-06
10:40
Fukuoka Fukuoka Univ. Action planning for interactive visual scene understanding based on knowledge confidence defined on latent spaces
Gurbachan Sekhon (Univ. of British Columbia), Akisato Kimura, Yasuhiro Minami, Hitoshi Sakano, Eisaku Maeda (NTT) PRMU2010-83 IBISML2010-55
This report proposes a method for action planning in a system of interactive visual scene understanding through the use ... [more] PRMU2010-83 IBISML2010-55
pp.201-208
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 2009-12-18
10:55
Tochigi Fujihara Cultural Center Why this method is useful for pattern recognition? -- A voyage of feature space --
Hitoshi Sakano (NTT) PRMU2009-147
Sometimes we face the question ``Why this pattern recognition technique work well?''
This question cauesed by high dime... [more]
PRMU2009-147
pp.55-58
PRMU 2008-12-19
09:30
Kumamoto Kumamoto Univ. Why directional features work well? -- Apploaches through abstract figures --
Hitoshi Sakano, Takeshi Yamada (NTT) PRMU2008-171
For answering above question,
we are approached an image reconstruction method from feature vectors.
We try to clarif... [more]
PRMU2008-171
pp.141-146
PRMU 2007-12-13
15:30
Hyogo Kobe Univ. Linear and Nonlinear Hybrid Kernel Mutual Subspace method for Object Recognition
Hitoshi Sakano (NTT Data) PRMU2007-143
We propose new member of mutual subspace method (MSM) family named
linear and nonlinear hybrid kernel mutual subspace ... [more]
PRMU2007-143
pp.43-46
PRMU, TL 2005-03-18
09:45
Akita   Hemed telop recognition
Ken'ichirou Suzuki, Hitoshi Sakano, Sakuichi Ohtsuka (NTT DATA Corp)
In this article, we propose telop recognition method that focus feature of hem. Japanese news telops have black rim that... [more] TL2004-64 PRMU2004-232
pp.7-10
PRMU 2005-01-21
10:00
Kyoto   A new texture descriptor using steerable filters
Isao Kondo (NTT DATA), Andrea Kutics (Tokyo University of Tech.), Hiroyuki Tanaka, Hitoshi Sakano (NTT DATA)
This paper presents a novel texture descriptor using steerable filter for retrieval of large image data. The proposed me... [more] PRMU2004-165
pp.13-18
 Results 1 - 17 of 17  /   
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