Pattern Classification and Scene Analysis - Rilegato

Duda, Richard O.; Hart, Peter E.

Rilegato

ISBN 10: 0471223611 ISBN 13: 9780471223610

Casa editrice: John Wiley & Sons Inc, 1973

Riassunto

Provides a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition. The topics treated include Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.

Su questo libro

L'autore:

About the Authors RICHARD O. DUDA is a Senior Research Engineer at Stanford Research Institute. He received a Ph. D. degree in Electrical Engineering from the Massachusetts Institute of Technology in 1962. Dr. Duda was the Associate Editor for "Pattern Recognition: IEEE Transactions on Computers" from 1969 to 1971. He has lectured on pattern classification at the University of California, Berkeley, and has written numerous technical articles for journals and books. PETER E. HART is Assistant Director of the Artificial Intelligence Center at Stanford Research Institute. He received a Ph. D. degree in Electrical Engineering from Stanford University in 1966. Dr. Hart has lectured on scene analysis at Stanford University, and has actively contributed to the literature of pattern recognition and artificial intelligence.

Dalla seconda/terza di copertina:

Pattern Classification and Scene Analysis By Richard O. Duda and Peter E. Hart Here is a unified, Comprehensive, and up-to-date treatment of the theoretical principles of pattern recognition. These principles are applicable to a great variety of problems of current interest, such as character recognition, speech recognition, speaker identification, fingerprint recognition, the analysis of biomedical photographs, aerial photoreconnaissance, automatic inspection for industrial quality control, and visual systems for robots. Throughout Pattern Classification and Scene Analysis, the authors have balanced their presentation to reflect the relative importance of the many theoretical topics in the field. Pattern Classification and Scene Analysis is the first book to provide comprehensive coverage of both statistical classification theory and computer analysis of pictures. Part I covers Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, and clustering. Part II describes many techniques of current interest in automatic scene analysis, including preprocessing of pictorial data, spatial filtering, shape-description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis. Although the theories and techniques of pattern recognition are largely mathematical, the authors have been more concerned with providing insight and understanding than with establishing rigorous mathematical foundations. The many illustrative examples, plausibility arguments, and discussions of the behavior of solutions reflect this concern. Extensive bibliographical and historical remarks at the end of each chapter further enhance the presentation. Standard notation is used wherever possible, and a comprehensive index is included. Typical first-year graduate students will find most of the mathematical arguments well within their grasp. Because the exposition is clear and balanced, Pattern Classification and Scene Analysis is suitable for both college and professional use. In particular, it will appeal to graduate students and professionals in the fields of computer science, electrical engineering, and statistics. Students and professionals in psychology, biomedical science, meteorology, and biology will also find it of value for the light it sheds on such areas as visual perception, image processing, and numerical taxonomy.

Su questa edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 1973
• ISBN 10: 0471223611
• ISBN 13: 9780471223610
• Rilegatura: Copertina rigida
• Numero di pagine: 482