Pattern Recognition: Statistical, Structural and Neural Approaches

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Author: Author

Pages: 384

Size: 1.250,31 Kb

Publication Date: June 21,1991

Category: Computer Vision & Pattern Recognition



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Explores the center of pattern recognition ideas, strategies and applications using statistical, syntactic and neural methods. The second part handles the statistical pattern acknowledgement approach, starting with a straightforward example and completing with unsupervised learning through clustering. Split into four sections, it obviously demonstrates the similarities and distinctions among the three techniques. Section three discusses the syntactic strategy and explores such topics as the features of string grammars and parsing; higher dimensional representations and graphical techniques. Along with good examples, each chapter supplies the reader with pertinent literature for a far more in-depth research of specific topics. Component four presents a fantastic summary of the emerging neural strategy including an study of design associations and feedforward nets.


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