Presentation | 1999/11/20 Visual Pattern Discovery II : Emergent Modeling and Algorithms Jian-Qin LIU, Katsunori SHIMOHARA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Visual Pattern Mining / Multi-agent Systems / DNA Computation / Image Processing |
Paper # | HIP99-62 |
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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 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 |
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