| Presentation | 1996/5/17 Feature Selection for Acquiring Internal Structure of Recognition System based on Matchability Hiroshi Yamakawa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For effective recognition, a recognition structure that controls the information flow among the specialized processing modules should reflect the implicit correlation structure of the environmental input. Autonomous construction of a recognition structure will lead to extensive improve in the flexibility of the adaptive recognition system. For this purpose we propose a matchability-oriented feature selection that can collect highly correlated features at each local module. Matchability is a concept derived from the recognition functions of an adaptive intelligent agent (useful for action generation) and corresponds to the probability of input data items matching stored data items in the recognition system. We check this algorithm in simple artificial environment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Learning internal representation / Pattern recognition / Neural networks / Multi-agent system / Unsupervised learning / Case based reasoning |
| Paper # | PRMU96-12 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1996/5/17(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 | |
| Secretary | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Selection for Acquiring Internal Structure of Recognition System based on Matchability |
| Sub Title (in English) | |
| Keyword(1) | Learning internal representation |
| Keyword(2) | Pattern recognition |
| Keyword(3) | Neural networks |
| Keyword(4) | Multi-agent system |
| Keyword(5) | Unsupervised learning |
| Keyword(6) | Case based reasoning |
| 1st Author's Name | Hiroshi Yamakawa |
| 1st Author's Affiliation | Tsukuba Research Center, Real World Computing Partnership() |
| Date | 1996/5/17 |
| Paper # | PRMU96-12 |
| Volume (vol) | vol.96 |
| Number (no) | 41 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |