Presentation | 1999/11/20 Visual Pattern Discovery I : Visual Agent Theories and Pattern Mining Katsunori SHIMOHARA, Jian-Qin LIU, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Focusing on the difficulties existing in the image understanding and pattern perception that includes face recognition, we select the major two key factors-non-parametric optimization and non-supervised mechanism-as the basis of efforts to make any potential breakthrough in the field. In this paper we summarize a unified framework of visual pattern discovery, which has a much stronger pattern discrimination capacity than the commonly used data mining and KDD. A novel logical "tough set" concept is proposed and corresponding mathematical measures are also discussed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Visual Pattern Mining / Multi-agent Systems / DNA Computation / Image Processing |
Paper # | HIP99-61 |
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Committee | HIP |
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Conference Date | 1999/11/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Visual Pattern Discovery I : Visual Agent Theories and Pattern Mining |
Sub Title (in English) | |
Keyword(1) | Visual Pattern Mining |
Keyword(2) | Multi-agent Systems |
Keyword(3) | DNA Computation |
Keyword(4) | Image Processing |
1st Author's Name | Katsunori SHIMOHARA |
1st Author's Affiliation | Evolutionary Systems Department, ATR, Human Information Processing Research Laboratories() |
2nd Author's Name | Jian-Qin LIU |
2nd Author's Affiliation | Central South University of Technology |
Date | 1999/11/20 |
Paper # | HIP99-61 |
Volume (vol) | vol.99 |
Number (no) | 453 |
Page | pp.pp.- |
#Pages | 4 |
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