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Pattern Classification (2nd Edition)

Duda

270 ratings by Goodreads
ISBN 10: 0471056693 / ISBN 13: 9780471056690
New Condition: New Soft cover
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Softcover Book, New Condition, Fast Shipping. Ready in Stock. 2nd Edition. [Please Read Carefully Before Buying], This Is An International Edition. Printed In Black and White. 654 pages, Book Cover And ISBN No May Be Different From US Edition. Restricted Sales Disclaimer Wordings Not For Sales In USA And Canada May Be Printed On The Cover Of The Book. Standard Shipping 7-14 Business Days. Expedited Shiping 4-8 Business Days. ***WE DO NOT ENTERTAIN BULK ORDERS.*** The Books May Be Ship From Overseas For Inventory Purpose. Bookseller Inventory # 384693

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Bibliographic Details

Title: Pattern Classification (2nd Edition)

Binding: Paperback

Book Condition:New

Edition: International Edition

About this title

Synopsis:

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.

From the Back Cover:

From the reviews . . .

"The first edition of this book, published 30 years ago by Duda and Hart, has been a defining book for the field of Pattern Recognition. Stork has done a superb job of updating the book. He has undertaken a monumental task of sifting through 30 years of material in a rapidly growing field and presented another snapshot of the field, determining what will be of importance for the next 30 years and incorporating it into this second edition. The style is easy to read as in the original book and the statistical, mathematical material comes alive with many new illustrations. The end result is harmonious, leading the reader through many new topics..."
–Sargur N. Srihari, PhD, Director, Center for Excellence in Document Analysis and Recognition, Distinguished Professor, Department of Computer Science and Engineering, SUNY at Buffalo

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. Special features include:

  • Clear explanations of both classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning
  • Over 350 high-quality, two-color illustrations highlighting various concepts
  • Numerous worked examples
  • Pseudocode for pattern recognition algorithms
  • Expanded problems, keyed specifically to the text
  • Complete exercises, linked to the text
  • Algorithms to explain specific pattern-recognition and learning techniques
  • Historical remarks and important references at the end of chapters
  • Appendices covering the necessary mathematical background

NOTE: Computer Manual in MATLAB to Accompany Pattern Classification, 2e users access toolbox via ftp://ftp.wiley.com/public/sci_tech_med/pattern_classification/ (Note: Visitors will require a password from the Manual to access.)

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