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Parallel Image Analysis: Second International Conference, Icpia '92, Ube, Japan, December 21-23, 1992. Proceedings

Parallel Image Analysis: Second International Conference, Icpia '92, Ube, Japan, December 21-23, 1992. Proceedings (Paperback, 1992)

Akira Nakamura, Ahmed Saoudi, Katsushi Inoue (지은이), Patrick S. P. Wang, Maurice Nivat (엮은이)
Springer Verlag
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Parallel Image Analysis: Second International Conference, Icpia '92, Ube, Japan, December 21-23, 1992. Proceedings
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책 정보

· 제목 : Parallel Image Analysis: Second International Conference, Icpia '92, Ube, Japan, December 21-23, 1992. Proceedings (Paperback, 1992) 
· 분류 : 외국도서 > 컴퓨터 > 광 데이터 처리
· ISBN : 9783540563464
· 쪽수 : 316쪽
· 출판일 : 1992-12-02

목차

From equations to hardware. Towards the systematic mapping of algorithms onto parallel architectures.- Visual pattern recognition with neural networks.- Object recognition by a self-organizing neural network which grows adaptively.- Intelligent pattern recognition and applications.- Path-controlled graph grammars for syntactic pattern recognition.- Describing objects by a multi-resolution syntactic approach.- Parallel manipulations of octrees and quadtrees.- Vision reflex operators.- Note on two-dimensional pattern matching by optimal parallel algorithms.- An efficient line drawing algorithm for parallel machines.- A characterization of recognizable picture languages.- Constant leaf-size hierarchy of two-dimensional alternating turing machines.- Shape recovery and error correction based on hypothetical constraints by parallel network for energy minimization.- Use of gradated patterns in associative neural memory for invariant pattern recognition.- Context-sensitivity of puzzle grammars.- Parallel generation and parsing of array languages using reversible cellular automata.- Parallel recognition of multidimensional images using regular tree grammars.- Optimal parallel algorithms for multidimensional image template matching and pattern matching.- Learning of recognizable picture languages.- Circular DNA and splicing systems.- Learning even equal matrix languages based on control sets.- Parallel dynamic programming algorithms for image recognition based on its contour.- Neural model for pattern recognition.- Three-dimensional sequential/parallel universal array grammars and object pattern analysis.

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