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 |