| Presentation | 2016-06-13 Improvement of probabilistic latent semantic analysis using weighted information theoretic clustering Toshio Uchiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are models to analyze images and documents. This paper proposes a novel method for initializing values of model parameters using weighted information theoretic clustering. Experimental results for text data sets are presented to show the effectiveness of proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | topic model / information-theoretic clustering / competitive learning / PLSA / initialization |
| Paper # | PRMU2016-43,SP2016-9,WIT2016-9 |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) |
| Conference Information | |
| Committee | PRMU / SP / WIT / ASJ-H |
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| Conference Date | 2016/6/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / Kazunori Mano(Shibaura Inst. of Tech.) / Kiyohiko Nunokawa(Tokyo International Univ.) |
| Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / Hiroki Mori(Utsunomiya Univ.) / Chikamune Wada(Kyushu Inst. of Tech.) |
| Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / Hiroki Mori(Kobe Univ.) / Chikamune Wada(Shizuoka Univ.) / (Nagoya Inst. of Tech.) |
| Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Tomohiro Amemiya(NTT) / Takeaki Shionome(Tsukuba Univ. of Tech.) / Manabi Miyagi(Tsukuba Univ. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Speech / Technical Committee on Well-being Information Technology / Auditory Research Meeting |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of probabilistic latent semantic analysis using weighted information theoretic clustering |
| Sub Title (in English) | |
| Keyword(1) | topic model |
| Keyword(2) | information-theoretic clustering |
| Keyword(3) | competitive learning |
| Keyword(4) | PLSA |
| Keyword(5) | initialization |
| 1st Author's Name | Toshio Uchiyama |
| 1st Author's Affiliation | Hokkaido Information University(Hokkaido Info. Univ.) |
| Date | 2016-06-13 |
| Paper # | PRMU2016-43,SP2016-9,WIT2016-9 |
| Volume (vol) | vol.116 |
| Number (no) | PRMU-89,SP-90,WIT-91 |
| Page | pp.pp.47-52(PRMU), pp.47-52(SP), pp.47-52(WIT), |
| #Pages | 6 |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) |