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 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.
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Keyword(in English) Visual Pattern Mining / Multi-agent Systems / DNA Computation / Image Processing
Paper # HIP99-61
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Committee HIP
Conference Date 1999/11/20(1days)
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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
Date of Issue