Pattern Recognition: Statistical, Structural and Neural Approaches

Schalkoff, Robert

ISBN 10: 0471552380 / ISBN 13: 9780471552383

Edité par New York, NY : John Wiley & Sons, 1997

A propos de cet article

Paperback, illustrated with numerous equations, graphs and diagrams, 8vo.

N° de réf. du vendeur 351736-ZB17

Détails bibliographiques

• Titre: Pattern Recognition: Statistical, Structural and Neural Approaches
• Éditeur: New York, NY : John Wiley & Sons
• Date de parution: 1997
• Langue: anglais
• ISBN à 10 chiffres: 0471552380
• ISBN à 13 chiffres: 9780471552383
• Reliure: Couverture souple
• État de l'article: Good

A propos de ce titre

Synopsis

An introduction to the concepts, methods and applications of pattern recognition, which demonstrates the similarities and differences among various approaches. Each chapter provides the reader with examples and material for a more in-depth study of specific topics.

Présentation de l'éditeur

Explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches. The second part deals with the statistical pattern recognition approach, starting with a simple example and finishing with unsupervised learning through clustering. Section three discusses the syntactic approach and explores such topics as the capabilities of string grammars and parsing; higher dimensional representations and graphical approaches. Part four presents an excellent overview of the emerging neural approach including an examination of pattern associations and feedforward nets. Along with examples, each chapter provides the reader with pertinent literature for a more in–depth study of specific topics.