| Presentation | 1998/6/19 PATTERN RECOGNITION USING THE GENERALIZED PROBABILISTIC DESCENT METHOD Shigeru KATAGIRI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Pattern recognition is one of the important technological subfields of intelligent signal processing. Conventionally, the design of recognizers has basically relied on the most fundamental Bayes decision theory, but results have not necessarily been satisfactory, mainly due to the mismatch between the design objectives actually used and the true target of the task at hand. This paper summarizes a new approach to this long-standing problem, based on the Generalized Probabilistic Descent method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pattern recognition / Discriminative training / Bayes decision theory |
| Paper # | PRMU98-46 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1998/6/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | PATTERN RECOGNITION USING THE GENERALIZED PROBABILISTIC DESCENT METHOD |
| Sub Title (in English) | |
| Keyword(1) | Pattern recognition |
| Keyword(2) | Discriminative training |
| Keyword(3) | Bayes decision theory |
| 1st Author's Name | Shigeru KATAGIRI |
| 1st Author's Affiliation | ATR Human Information Processing Research Laboratories() |
| Date | 1998/6/19 |
| Paper # | PRMU98-46 |
| Volume (vol) | vol.98 |
| Number (no) | 127 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |