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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 61 - 80 of 121 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2014-03-07
11:10
Osaka Gran Front Osaka, Knowledge Capital C-9F, 901 Rotation-Robust Feature Extraction for Image Recognition
Yuya Iwasaki, Jaehoon Yu (Osaka Univ.), Ryusuke Miyamoto (Meiji Univ.), Takao Onoye (Osaka Univ.) SIS2013-68
In the field of the optical character recognition, to recognize characters captured via camera in natural images has be... [more] SIS2013-68
pp.63-68
PRMU, CNR 2014-02-13
14:30
Fukuoka   Advancing Localization Ability of PTAMM at Natural Environment by Improving Feature Extraction Strategy
Sakashi Maeda, Syota Ide, Naoyuki Tsuruta (Fukuoka Univ.) PRMU2013-134 CNR2013-42
This paper presents the improving method of PTAMM.
PTAMM is a software which is an implementation of the method by G Kl... [more]
PRMU2013-134 CNR2013-42
pp.73-76
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente Improvement of Discrimination Process and User Interface in the Fingerspelling Training System Using Kinect
Yoto Tanaka (NTUT), Daisuke Takabayashi (Univ. of Tsukuba), Masaki Kondo, Nobuko Kato (NTUT), Kazuhiro Fukui (Univ. of Tsukuba), Akio Okazaki (NTUT)
Fingerspelling is one of useful communication methods for deaf and hard-of-hearing. We are developing a fingerspelling t... [more]
PRMU 2013-12-13
09:00
Mie   Sequential Pattern Recognition
Ryota Ogata (Kyushu Univ.), Minoru Mori (NTT), Seiichi Uchida (Kyushu Univ.) PRMU2013-81
(To be available after the conference date) [more] PRMU2013-81
pp.79-84
PRMU 2013-06-11
15:30
Tokyo   Spotting Recognition of Motions from a Video Captured by a Moving camera
Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ Aizu) PRMU2013-31
In the technology of first person vision, recognition of human motions is an important function as well as recognition o... [more] PRMU2013-31
pp.71-76
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-23
09:30
Kyoto   Face model creation based on simultaneous execution of hierarchical training-set clustering and common local feature extraction
Takayuki Fukui, Toshikazu Wada, Hiroshi Oike, Jun Sakata (Wakayama Univ.) PRMU2012-84 MVE2012-49
Face image retrieval based on local features has advantages of short elapsed time and robustness against the occlusions.... [more] PRMU2012-84 MVE2012-49
pp.23-28
NLP 2012-05-29
11:20
Akita Akita City Exchange Plaza Iterative Discriminant Analysis in Non-linear Space
Yohei Takeuchi, Momoyo Ito, Minoru Fukumi (Tokushima Univ.) NLP2012-37
In pattern recognition, Fisher Linear Discriminant Analysis (FLDA) is one of the most effective feature extraction metho... [more] NLP2012-37
pp.59-64
PRMU, SP 2012-02-10
14:50
Miyagi   Event detection from Video using GMM-Supervectors and SVMs
Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech), Shunsuke Sato (Canon) PRMU2011-230 SP2011-145
In multimedia event detection, complex target events are detected from a large set of consumer domain videos taken in un... [more] PRMU2011-230 SP2011-145
pp.195-200
SP, NLC, IPSJ-SLP [detail] 2011-12-19
15:45
Tokyo   Phoneme Recognition based on AF-HMMs with Optimal State Configuration
Narpendyah W. Ariwardhani, Yurie Iribe, Kouichi Katsurada, Tsuneo Nitta (Toyohashi Univ. of Tech.) NLC2011-39 SP2011-84
Speeh recognition based on one-model of articulatory movement HMMs that are commonly applied to both speech recognition ... [more] NLC2011-39 SP2011-84
pp.49-54
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
NC 2011-07-25
15:40
Hyogo Graduate School of Engineering, Kobe University An Incremental Learning Algorithm of Kernel Principal Component Analysis for Chunk Data
Takaomi Tokumoto, Seiichi Ozawa (Kobe Univ) NC2011-29
In this paper, a new algorithm for Kernel Principal Component Analysis (KPCA) is proposed.
We extended Takeuchi et al's... [more]
NC2011-29
pp.49-54
SP 2011-06-23
13:00
Aichi Nagoya Univ. [Invited Talk] Fundamentals and recent research trends in feature extraction
Takashi Fukuda (IBM) SP2011-30
Cepstral coefficients and their dynamics that represent temporal variations have been widely used for automatic speech r... [more] SP2011-30
pp.1-6
PRMU, DE 2011-06-06
14:00
Kanagawa   Efficient Emotional Video Scene Detection by Selecting and Integrating Concise Facial Features
Hiroki Nomiya, Teruhisa Hochin (KIT) DE2011-7 PRMU2011-38
For the purpose of rapid retrieval of impressive video scenes including emotional expressions of human beings, this pape... [more] DE2011-7 PRMU2011-38
pp.37-42
NLP 2011-05-26
16:30
Kagawa Olive park olive memorial hall Spontaneous Feature Extraction Using Data Synchronization -- Application to Economic Data --
Takaya Miyano (Ritsumeikan Univ.), Kenichi Tatsumi (Gakushuin Univ.) NLP2011-9
A method for spontaneous data clustering based on collective synchronization in a network of phase oscillators is applie... [more] NLP2011-9
pp.41-44
HCGSYMPO
(2nd)
2010-12-15
- 2010-12-17
Miyazaki Miyazaki Seagai resort Scaling Feature of Awkwardness in Human Motion
Shinsuke Yamaoka, Yoshitsugu Manabe, Yuki Uranishi, Sei Ikeda, Kunihiro Chihara (NAIST)
Awkwardness is one of the amount of characteristics in human's motion. The Awkwardness appears by the proficiency, the p... [more]
MBE, NC
(Joint)
2010-11-19
09:00
Miyagi Tohoku University Generation of spatial filter by ICA for detecting motor-related oscillatory EEG
Hiroki Ichimura (Tohoku Univ.), Shin'ichiro Kanoh (Tohoku Inst. Tech.), Ko-ichiro Miyamoto, Tatsuo Yoshinobu (Tohoku Univ.) NC2010-62
To detect the imagined limb from EEG related to the motor imagery for the use in BCI, the spatial filter using neighbori... [more] NC2010-62
pp.53-58
SIS 2010-06-10
14:25
Hokkaido Abashiri Public Auditorium Similar Image Retrieval by Using Features of an Object in a Reference Image
Shota Maeda, Hiroshi Kudo, Mitsuji Muneyasu, Yoshiko Hanada (Kansai Univ.) SIS2010-8
Several similar image retrieval techniques based on the feature of an object in an image have been proposed. Ordinarily,... [more] SIS2010-8
pp.43-48
NC, MBE
(Joint)
2010-03-11
16:25
Tokyo Tamagawa University Edge Extraction for the Neocognitron
Yuki Makino, Masayuki Kikuchi (Tokyo Univ. of Technology), Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Communications) NC2009-156
Neural network model neocognitron has an ability of robust visual pattern recognition. Feature-extracting cells, called ... [more] NC2009-156
pp.403-406
AI, JSAI-KBS, JSAI-SAI, IPSJ-ICS 2010-03-01
- 2010-03-03
Hokkaido   Interactive Suggestion of Related Videos by Analyzing Users' Comments Based on tf-idf Scheme
Yusuke Ebata, Hidenori Kawamura, Keiji Suzuki (Hokkaido Univ.) AI2009-43
These days video sharing site such as YouTube is being popular. With that, studies using comments of videos are also pa... [more] AI2009-43
pp.7-10
SIP, CAS, CS 2010-03-02
13:45
Okinawa Hotel Breeze Bay Marina, Miyakojima [Poster Presentation] Geometrical analysis of linear discriminant analysis algorithms and instrument feature extraction
Mizuki Ihara, Kazushi Ikeda (NAIST), Shin-ichi Maeda (Kyoto Univ.) CAS2009-123 SIP2009-168 CS2009-118
Extracting only the essential sound attributes from sounds is one of the fundamental issues of music information retriev... [more] CAS2009-123 SIP2009-168 CS2009-118
pp.243-244
 Results 61 - 80 of 121 [Previous]  /  [Next]  
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