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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2017-11-07 11:00 |
Kagoshima | Kagoshima Univ. (Inamori Academy) | [Invited Talk]
Researches on Impressiveness Multimedia Contents
-- Attractiveness Computing using Big Multimedia Data -- Toshihiko Yamasaki (UTokyo)  EMM2017-63 |
Due to the advancement in machine learning and pattern recognition technologies such as deep neural networks, recognitio... [more] | EMM2017-63 p.45 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:50 |
Tokyo | [Short Paper]
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.), Toshio Tsuji (Hiroshima Univ.) PRMU2017-55 IBISML2017-27 |
This paper proposes a neural network based on the Johnson $S_{rm U}$ distribution that is capable of representing distri... [more] | PRMU2017-55 IBISML2017-27 pp.135-136 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 11:15 |
Tokyo | [Short Paper]
Research on Person Recognition from Human Activity Takayuki Yoshida, Basabi Chakraborty (Iwate Pref. Univ.) PRMU2017-57 IBISML2017-29 |
Currently, motion sensors are equipped as standard equipment in mobile terminals, list band type lifelog devices have al... [more] | PRMU2017-57 IBISML2017-29 pp.159-160 |
|
| SIP | 2017-08-24 10:25 |
Tokyo | Tokyo Denki University | An Adjustment Method for Microphone Array Directivity Based on Optimal Condition Takeshi Isomoto, Kenji Suyama (Tokyo Denki Univ.) SIP2017-49 |
A microphone array is used in a speech recognition system for a high S/N sound capture. The high S/N sound capture can ... [more] |
SIP2017-49 pp.7-12 |
| PRMU, IE, MI, SIP | 2017-05-26 11:00 |
Aichi | Interaction Analysis based on Non-Verbal Features Nuo Zhang, Tomotake Kozu (Tohmatsu) SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22 |
Communication between humans, including words, facial expressions, gestures and postures, is a very complicated process.... [more] | SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22 pp.113-117 |
|
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98 |
In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] | MI2016-98 pp.101-106 |
| ASN | 2016-05-12 13:35 |
Tokyo | [Invited Talk]
Recent studies on indoor context recognition and their future development Takuya Maekawa (Osaka University) ASN2016-4 |
not available [more] | ASN2016-4 pp.19-21 |
|
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-22 10:15 |
Hokkaido | Hokkaido Univ. | Estimation of Secondary Cell Performances by Analysis of Electrode Images Ryo Kuroki, Keisuke Kameyama (Univ. Tsukuba) ITS2015-60 IE2015-102 |
The performance of secondary cells used by electric cars depends on the performances of their electrodes. However, the r... [more] | ITS2015-60 IE2015-102 pp.23-28 |
| PRMU, CNR | 2016-02-21 13:00 |
Fukuoka | Learning and recognizing behavior patterns based on comprehensive movement of people in similar multiple environments Hiroaki Iwabuchi, Shigeki Aoki, Takao Miyamoto (Osaka Prefecture Univ.) PRMU2015-136 CNR2015-37 |
Recently,automatic video surveillance systems have become an active area of research.There are detecting irregular behav... [more] | PRMU2015-136 CNR2015-37 pp.25-30 |
|
| NC, NLP (Joint) |
2016-01-28 15:00 |
Fukuoka | Kyushu Institute of Technology | Off-Chip Learning Algorithm for Hardware Hand-Sign Recognition System Masayuki Tamaki, Hikawa Hiroomi (Kansai Univ) NC2015-57 |
This paper discusses a new off-chip learning algorithm for hardware hand sign recognition system. The hand sign recogni... [more] |
NC2015-57 pp.7-12 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | An Image-based Classification Algorithm for the Non-invasive Quality Evaluation of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2015-130 |
With recent progress of cell and tissue therapy in regenerative medicine, novel classification method of cell quality ha... [more] | MI2015-130 pp.277-282 |
| PRMU | 2015-12-22 11:40 |
Nagano | Development and comparing of personal authentication systems by signature in the air Daiki Yamada, Takuya Kitamura (NIT) PRMU2015-110 |
In late years biological distinction has been used for security systems because it has high reliabiliby. Biometric featu... [more] | PRMU2015-110 pp.105-110 |
|
| WIT, HI-SIGACI | 2015-12-08 15:00 |
Tokyo | AIST Tokyo Waterfront | Supporting Development of Speech Visualization Mode for Deaf and Hard of Hearing People Support Yusuke Toba, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Tomohito Uchino, Tomohiro Yokoyama, Yasuhiro Takebayashi (School for the Deaf, University of Tsukuba) WIT2015-63 |
We have proposed a multi-modal visualization application in order to support deaf and hard of hearing people in understa... [more] | WIT2015-63 pp.1-6 |
| ICD, IE, VLD, IPSJ-SLDM [detail] | 2015-10-26 13:50 |
Miyagi | [Invited Talk]
Human pattern recognition and humanics security Masakatsu Nishigaki (Shizuoka Univ.) VLD2015-28 ICD2015-41 IE2015-63 |
It is very important to achieve the security of ICT systems. As everybody knows, however, security and usability is trad... [more] | VLD2015-28 ICD2015-41 IE2015-63 p.11 |
|
| NLP | 2015-07-22 11:00 |
Hokkaido | Bibai Onsen Yu-rinkan | Optimization of Generalization Based on Genetic Algorithm
-- Application for Function Analysis and Pattern Recognition -- Hideki Satoh (Future Univ. Hakodate), Daisuke Kasai (Tokachi Foundation), Masako Satoh (Insent) NLP2015-78 |
A function approximation method was developed taking generalization into account, and it was applied to a pattern recogn... [more] | NLP2015-78 pp.57-62 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-24 16:00 |
Okinawa | Okinawa Institute of Science and Technology | [Invited Talk]
Deep Convolutional Neural Network Neocognitron and its Advances Kunihiko Fukushima (FLSI) NC2015-3 IBISML2015-20 |
The neocognitron is a multi-layered convolutional network that can be trained to recognize visual patterns robustly. In ... [more] | NC2015-3 IBISML2015-20 pp.49-54(NC), pp.165-170(IBISML) |
| NLP, CCS | 2015-06-11 09:25 |
Tokyo | Waseda Univerisity | An Adaptive Learning Method Based on Distance to Nodes in Self-Organizing Incremental Neural Networks Natsumi Oba, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2015-40 CCS2015-2 |
The self-organizing incremental neural networks realize the clustering of input data by repeating to add and delete nod... [more] |
NLP2015-40 CCS2015-2 pp.7-12 |
| SIP, EA, SP | 2015-03-02 16:10 |
Okinawa | [Special Invited Talk]
Intermediate representation for statistical pattern recognition Koichi Shinoda (TokyoTech) EA2014-85 SIP2014-126 SP2014-148 |
In Deep learning, which has recently seen its boom, it is still not clear how to optimize multi-layer structures. To sol... [more] | EA2014-85 SIP2014-126 SP2014-148 p.73 |
|
| MI | 2015-03-02 11:18 |
Okinawa | Hotel Miyahira | Setting of Volume-of-Interests of Pattern Classification for Diffuse Lung Diseases using Watershed algorithm on CT images Yumi Takeshita (Yamaguchi Univ.), Rie Tachibana (OCMT), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-63 |
We propose a method for the classification of seven kinds of diffuse lung disease patterns with arbitrary region of inte... [more] | MI2014-63 pp.55-58 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 13:30 |
Hokkaido | Hokkaido Univ. | Image Feature Descriptor of Rotation-Invariant Gradient Orientation for Pedestrian Detection under Changes of Posture Yuta Horikawa, Kousuke Matsushima (Kurume NCT) ITS2014-42 IE2014-69 |
Pedestrian recognition is an important subject of research in automotive safe driving support technology. Combining imag... [more] | ITS2014-42 IE2014-69 pp.53-58 |
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