Presentation 1999/11/20
Visual Pattern Discovery II : Emergent Modeling and Algorithms
Jian-Qin LIU, Katsunori SHIMOHARA,
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Abstract(in English) Based on the emergent mechanism in the underlying perceptual processes for nonlinear patterns, we have proposed and developed a series of models for adaptive image segmentation and corresponding algorithms by emergent computation. With this approach, the degree of dependence on the prior knowledge and ad hoc environment is reduced greatly according to the optimization criterion. Our proposed Genetyllis system oriented to human-to-machine applications are also discussed. Our work is aimed at exploring any functional way to extract the key pattern features through the integration of psychological, physiological and artificial processes in terms of the emergent computational techniques in the domain of visual pattern discovery.
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Keyword(in English) Visual Pattern Mining / Multi-agent Systems / DNA Computation / Image Processing
Paper # HIP99-62
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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 II : Emergent Modeling and Algorithms
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 Jian-Qin LIU
1st Author's Affiliation Central South University of Technology()
2nd Author's Name Katsunori SHIMOHARA
2nd Author's Affiliation Evolutionary Systems Department, ATR, Human Information Processing Research Laboratories
Date 1999/11/20
Paper # HIP99-62
Volume (vol) vol.99
Number (no) 453
Page pp.pp.-
#Pages 4
Date of Issue