Cantitate/Preț
Produs

Pattern Classification 2nd Edition with Computer Manual 2nd Edition Set

Autor Richard O Duda
en Limba Engleză Hardback – 4 iun 2004
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Citește tot Restrânge

Preț: 106291 lei

Preț vechi: 155727 lei
-32%

Puncte Express: 1594

Preț estimativ în valută:
18791 22284$ 16300£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Specificații

ISBN-13: 9780471703501
ISBN-10: 0471703508
Pagini: 816
Dimensiuni: 220 x 286 x 46 mm
Greutate: 1.83 kg
Ediția:2nd Revised edition
Editura: Wiley
Locul publicării:Hoboken, United States

Descriere

Practitioners developing or investigating pattern recognition systems in such diverse application areas as speech recognition, optical character recognition, image processing, or signal analysis, often face the difficult task of having to decide among a bewildering array of available techniques. This unique text/professional reference provides the information you need to choose the most appropriate method for a given class of problems, presenting an in-depth, systematic account of the major topics in pattern recognition today. A new edition of a classic work that helped define the field for over a quarter century, this practical book updates and expands the original work, focusing on pattern classification and the immense progress it has experienced in recent years. The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

Notă biografică

RICHARD O. DUDA, PhD, is Professor in the Electrical Engineering Department at San Jose State University, San Jose, California.