Handbook of Pattern Recognition and Computer Vision

The book gives the most total treatment of basic methods in pattern recognition including statistical, neurocomputing, syntactic/structural/grammatical approaches, feature selection and cluster analysis; and an extensive presentation of basic methods in computer vision including texture analysis and models, color, geometrical tools, image sequence analysis, etc. Major and unique applications are also covered, such as food handling using computer vision, non-destructive evaluation of materials, applications in economics and business, medical image recognition and understanding, etc. Broader system aspects are also examined, including optical pattern recognition and architectures for computer vision.

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Advances in Pattern Recognition Systems Using Neural Network Wang, Patrick S P, Guyon, Isabelle

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Parallel Image Analysis: Tools and Models Miguet, Serge, Montanvert, Annick, Wang, Patrick S P

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Handbook of Character Recognition and Document Image Analysis Bunke, Horst, Wang, Patrick S P

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Parallel Image Analysis and Processing Wang, Patrick S P

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