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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 43 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2015-12-16
- 2015-12-18
Toyama Toyama International Conference Center Generation of facial expressions on 2D images of neutral face by impression transfer vector defined by SVM
Haruna Yamaguchi, Yudai Arai, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.)
Faces play an important role in all facets of human communication, even in human-machine communications. Thus, creating ... [more]
HCGSYMPO
(2nd)
2015-12-16
- 2015-12-18
Toyama Toyama International Conference Center Generation of 3D facial expressions by Impression Transfer Vector Method considering individual difference of the facial shape
Yudai Arai, Horii Kazuya, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.)
Facial expressions play an important role in all facets of human communication, even in human-machine communications. On... [more]
PRMU, BioX 2015-03-19
16:40
Kanagawa   Semi-Supervised Low-rank GMM Learning for Multimodal Distribution
Eita Aoki, Tetsuya Matsumoto, Noboru Ohnishi (Nagoya Univ.) BioX2014-60 PRMU2014-180
In this study, we examine the learning method of each category distribution under underdetermined environment that categ... [more] BioX2014-60 PRMU2014-180
pp.129-134
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Sufficient Dimension Reduction
Voot Tangkaratt (Tokyo Inst. of Tech.), Hiroaki Sasaki, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-79
An accurate estimator of a function does not necessary mean that its derivative is an accurate estimator of the derivati... [more] IBISML2014-79
pp.329-336
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
16:30
Ibaraki   Dimentionality Reduction Methods Using Error Correcting Codes for Feature Extraction
Wataru Matsumoto, Genta Yoshimura, Takashi Yamazaki (Mitsubishi Electric) PRMU2014-46 IBISML2014-27
For various media retrieval and recognition applications, we consider the feature extraction vector compressed by a spar... [more] PRMU2014-46 IBISML2014-27
pp.81-84
SP 2014-02-28
12:40
Tokushima The University of Tokushima [Poster Presentation] Dimensionality Reduction of Feature Vector for Shouted Speech Detection in Noisy Environments
Naoto Kakino, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Ryukoku Univ.) SP2013-111
In this study, we try to detect shouted speech uttered in the hazardous situation toward a crime prevention system with ... [more] SP2013-111
pp.21-22
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente Generation of facial expressions based on morphable 3D shape model -- A trial of emphasizing perceived impressions between pairs of faces representing confusing expressions --
Yudai Arai, Syunsuke Nagata, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.)
In order to create 3D faces displaying facial expressions, transformation of the face shape from the original straight f... [more]
IBISML 2013-07-18
11:30
Tokyo Nishiwaseda Campus (Waseda univ.) Estimation of Local Coordinates in Low Dimensional Subspace based on Semi-Supervised Learning with Order Constraints -- Local Coordinate Extraction from Optical Hyperspectral Data of Vegetation --
Kuniaki Uto (Tokyo Tech.) IBISML2013-5
We propose a new method, semi-supervised manifold coordinate projection under order constraints (SMCPOC), and the two va... [more] IBISML2013-5
pp.27-34
IBISML 2013-07-18
14:20
Tokyo Nishiwaseda Campus (Waseda univ.) Detection of abnormal data based on linear classifiers using local coordinates on a normal class -- Tree disease detection in hyperspectral forest images --
Kuniaki Uto (Tokyo Tech.) IBISML2013-8
We propose a new linear classification method in the framework of the generalized eigenvalue problem in which the singul... [more] IBISML2013-8
pp.51-58
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza Generation of Facial Expressions for Novel Face Based on PCA of the 3D Shape Data Representing Various Facial Expressions
Marie Amaki, Chisa Watanabe, Syunsuke Nagata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.)
In order to create 3D face models displaying facial expressions, transformation of the original model representing a str... [more]
IBISML 2012-03-13
16:30
Tokyo The Institute of Statistical Mathematics Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-107
Feature selection is a technique to screen out less important features.
Many existing supervised feature selection alg... [more]
IBISML2011-107
pp.139-146
SANE 2011-06-23
16:10
Ibaraki Tsukuba Space Center (JAXA) Proposal of A Telemetry Data Monitoring Method Using Dimensionality Reduction Techniques
Takehisa Yairi, Takaaki Tagawa (Univ. of Tokyo), Noboru Takata (JAXA), Yukihito Yamaguchi, Yuuzou Tomabechi, Teppei Matsubara, Yuuji Bessho, Takahiro Tanaka, Youko Nishimoto (TIS) SANE2011-27
Authors are developing an advanced health monitoring / anomaly detection method for spacecraft systems using machine lea... [more] SANE2011-27
pp.59-64
SIS 2011-06-09
10:40
Okinawa Ishigaki Health & Wellness Center Stress state classification based on photoplethysmogram by supervised dimensionally reduction
Ying Li, Keiichi Horio (Kyushu Inst. of Tech.) SIS2011-3
In this paper, we introduce a latent variables extraction method to improve a classification of stress states. Features ... [more] SIS2011-3
pp.11-14
CQ, MVE, IE
(Joint) [detail]
2011-03-07
09:55
Nagasaki Yasuragi IOUJIMA Generation of Facial Expressions from Morphable 3D Face Model -- Contribution of each PCA Parameter toward generation of arbitrary facial expressions --
Hirotoshi Inomata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) IE2010-162 MVE2010-150
Generation of arbitrary facial expressions to 3D face model has been usually achieved by either manual processing of the... [more] IE2010-162 MVE2010-150
pp.95-100
NLP 2010-07-12
11:55
Ishikawa Ishikawa Prefectural Bunkyo Hall Analysis Using Space Embedded Equation in Moment Vector Space for High-dimensional Nonlinear System
Hideki Satoh (Future Univ. Hakodate) NLP2010-33
A space embedded equation (SEE) has been developed for expressing an arbitrary high-dimensional target system as a low-d... [more] NLP2010-33
pp.23-28
COMP 2010-03-12
09:40
Tokyo National Institute of Informatics Bayesian Joint Optimization for Matrix Factorization and Clustering
Tikara Hosino (Nihon Unisys, Ltd.) COMP2009-50
Statistical clustering is the method for dividing the given samples by assumed distributions.
In high dimensional probl... [more]
COMP2009-50
pp.9-12
PRMU 2009-02-20
09:30
Tokyo Univ. of Tokyo (IIS) Document Classification by Local Fisher Discriminant Analysis
Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2008-225
Dimensionality reduction is one of the important preprocessing steps
in practical pattern recognition.
SEmi-supervised... [more]
PRMU2008-225
pp.103-108
SP 2008-07-17
- 2008-07-19
Iwate Iwate Prefectural Univ. Dimensionality Reduction in Rescoring Using Likelihood Patterns Given by HMMs
Tetsuji Ogawa, Tetsunori Kobayashi (Waseda Univ.) SP2008-55
We investigate dimensionality reduction of feature vectors in rescoring using likelihood patterns given by HMMs with lon... [more] SP2008-55
pp.73-78
DE 2007-07-03
14:00
Miyagi Akiu hot springs (Sendai) Dimensionality Reduction via Latent Dirichlet Allocation for Document Clustering
Tomonari Masada, Senya Kiyasu, Sueharu Miyahara (Nagasaki Univ.) DE2007-85
In this paper, we employ the latent Dirichlet allocation as a method for the dimensionality reduction
of feature vector... [more]
DE2007-85
pp.381-386
IN 2007-02-01
16:20
Aichi Aichi Prefectural University [Invited Talk] Dimensionality reduction of Markov chains with applications in size-based task assignment with cycle stealing
Takayuki Osogami (IBM Tokyo Research Lab.) IN2006-168
Multi-server systems are popular due to their scalability and cost effectiveness. To fully utilize a multi-server syste... [more] IN2006-168
pp.35-40
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