Titlebook: Computer Recognition Systems; Proceedings of 4th I Marek Kurzyński,Edward Pucha?a,Andrzej ?o?nierek Conference proceedings 2005 Springer-Ve

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Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/c/image/233707.jpg

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The Role of Ontological Models in Pattern Recognition a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.

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Current Feature Selection Techniques in Statistical Pattern Recognitionent knowledge. Besides over-viewing advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the Branch & Bound algorithm, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method.

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Basic definitions and preliminaries a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.

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