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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2022-03-12 11:15 |
Hokkaido | WSSIT2022 (Primary: On-site, Secondary: Online) |
Probabilistic modeling of changes in visitors' attitudes to improve the value of science museums Kazuya Yamashita, Megumi Inoue, Yoich Motomura (AIST)  AI2021-34 |
(To be available after the conference date) [more] | AI2021-34 pp.49-53 |
| PRMU, SP | 2017-06-22 17:00 |
Miyagi | Investigation of solution diversity about probabilistic latent semantic analysis using normalized mutual information Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2017-31 SP2017-7 |
Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet analysis are known as topic models to analyze text ... [more] |
PRMU2017-31 SP2017-7 pp.33-38 |
|
| PRMU, SP, WIT, ASJ-H | 2016-06-13 15:00 |
Tokyo | Improvement of probabilistic latent semantic analysis using weighted information theoretic clustering Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2016-43 SP2016-9 WIT2016-9 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are models to analyze images and documents. This ... [more] |
PRMU2016-43 SP2016-9 WIT2016-9 pp.47-52 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-15 10:45 |
Ehime | Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis Toshio Uchiyama (HIU) PRMU2015-83 IBISML2015-43 |
Nonnegative Matrix Factorization (NMF) is equivalent to PLSA (Probabilistic Latent Semantic Analysis), when it uses ge... [more] |
PRMU2015-83 IBISML2015-43 pp.117-122 |
|
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-15 15:50 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | An accurate scene segmentation method based on video structure analysis using PLSA
-- A note on definition of new shot similarity by sequence alignment -- Makoto Yamamoto, Miki Haseyama (Hokkaido Univ.) ITS2009-58 IE2009-152 |
A method for accurate scene segmentation based on video structure analysis using sequences of continuous shots in audiov... [more] | ITS2009-58 IE2009-152 pp.123-128 |
| PRMU | 2009-11-26 10:40 |
Ishikawa | Ishikawa Industrial Promotion Center | Labeling method using co-occurance model between visual word and word Yuichi Yoshida, Mitsuru Ambai (DENSO IT LAB.) PRMU2009-99 |
In this paper, we propose a novel labeling method that uses image and text obtained from the web as a training set.Exist... [more] | PRMU2009-99 pp.39-44 |
| PRMU | 2008-12-19 11:15 |
Kumamoto | Kumamoto Univ. | Mining Regional Representative Photos from a Large-scale Geotagged Image Database Qiu Bingyu (Univ. of Electro-Comm.), Keiji Yanai (Univ. Electro-Comm.) PRMU2008-177 |
This paper considers the problem of selecting representative photographs for regions in the worldwide dimensions. Selec... [more] |
PRMU2008-177 pp.177-182 |
| NLC | 2008-02-08 15:30 |
Niigata | Yuzawa Culture Center | Discriminative topic-sentiment analysis from unsupervised topic corpora Kugatsu Sadamitsu, Takahiro Fukutomi, Mikio Yamamoto (Univ. of Tsukuba) NLC2007-97 |
Topic information included in reviews can be beneficially used in sentiment analysis, and this paper proposes a method o... [more] | NLC2007-97 pp.57-62 |
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