Papers included in this volume deal with discriminant analysis, clustering techniques and software, multidimensional scaling, statistical, linguistic and artificial intelligence models and methods for pattern recognition and some of their applications. Further examined are the selection of subsets of variables for allocation and discrimination, ...
This collection of papers reflects the international participation that is becoming typical of the Conference on Uncertainty and AI. Increasing contributions from Canadian, European, and Australian researchers have enriched the content of the present proceedings, and have led to the development of broader perspectives and deeper exchanges of ...
This volume contains nine papers, one of them nearly of monograph length (by L. Goldfarb), covering a broad range of topics in pattern recognition and computer vision. Three papers discuss the architectural and computational aspects of image processing and computer vision. The second trio of papers surveys three fundamental areas of vision: ...
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