Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI, IPSJ-ICS, JSAI-SAI, JSAI-DOCMAS, JSAI-KBS (Joint) |
2020-03-09 15:20 |
Hokkaido |
|
Improvement of generalization performance in fish species discrimination and catch prediction using echo sounder images Yuto Mori, Keiji Suzuki, Masaaki Wada (FUN) AI2019-63 |
A Set-Net fishery has various problems. One of the problems is that it is difficult to cope with fishing restrictions fo... [more] |
AI2019-63 pp.55-60 |
EA, US (Joint) |
2017-01-26 09:25 |
Kyoto |
Doshisha Univ. |
Development of species classification system by the deep learning using the broadband split-beam Atsushi Kinjo, Ikuo Matsuo (TGU), Tomohito Imaizumi (FRA,NRIFE) US2016-108 |
pecies classification using an acoustic sounder is important for fisheries. With schools of mixed species, it is necessa... [more] |
US2016-108 pp.173-178 |
SANE |
2016-11-24 15:10 |
Overseas |
National Taipei University of Technology (NTUT) |
Modified Nearest Feature Space Approach for High Dimensional Data Sets Yang Lang Chang, Yung-Hao Lai, Tzu-Wei Tseng, Jyh-Perng Fang (NTUT) SANE2016-65 |
With the progress of remote sensing technology, the high volume of high dimensional data sets is increased rapidly. Thus... [more] |
SANE2016-65 pp.71-73 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2014-09-01 15:50 |
Ibaraki |
|
Fish species classification by the support vector machine Atsushi Kinjo, Masanori Ito, Ikuo Matsuo (Tohoku Gakuin Univ.), Tomohito Imaizumi, Tomonari Akamatsu (FRA-NRI) PRMU2014-45 IBISML2014-26 |
Fish species classification using echo-sounder is important for fisheries. With school of mixed species, it is necessary... [more] |
PRMU2014-45 IBISML2014-26 pp.57-62 |
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 |
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 |
NC, MBE (Joint) |
2008-03-13 15:40 |
Tokyo |
Tamagawa Univ |
Selecting independent feature sets for the branch networks of the large scale classifier CombNET-III Toshiyuki Miyatani, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (NIT) NC2007-173 |
CombNET-III is an improved version of CombNET-II, which was developed to solve large-scale classification problems. Comb... [more] |
NC2007-173 pp.361-366 |
IE, ITE-BCT, ITE-ME, ITE-AIT |
2007-11-30 09:55 |
Saga |
Saga University |
A study of Classification Method of Tree Images. Masayuki Kawamoto, Shigeomi Hara (Saga Univ.) IE2007-100 |
In this research, Our goal is to distinguish the tree kind from a tree image. The texture of a tree crown is analyzed, a... [more] |
IE2007-100 pp.59-63 |
IN, RCS (Joint) |
2006-05-19 11:15 |
Tokyo |
|
Classification and evaluation of overlay routing methods in ISP topologies Ryota Fukumoto, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) IN2006-12 |
In recent years, overlay networks have been deployed in the Internet. On overlay networks, each application constructs ... [more] |
IN2006-12 pp.67-72 |
NC |
2006-01-24 11:15 |
Hokkaido |
Hokkaido Univ. |
Embedding of labeled multimodal data Yuki Shinada, Masashi Sugiyama (Tokyo Tech.) |
In order to improve the recognition accuracy of high dimensional patterns, it is important to appropriately reduce the n... [more] |
NC2005-102 pp.25-30 |