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Pattern Classification by Peter E. Hart, Richard O. Duda and David G. Stork (2000, Hardcover, Revised edition)

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Pattern Classification by Richard O. Duda, David G. Stork, Peter E. Hart. Author Richard O. Duda, David G. Stork, Peter E. Hart. 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.

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Product Information

Unter Musterklassifikation versteht man die Zuordnung eines physikalischen Objektes zu einer von mehreren vordefinierten Kategorien. Auf dieser Grundlage können Computer Muster erkennen. Das Interesse an diesem Forschungsgebiet hat in den letzten Jahren, besonders im Zuge der Weiterentwicklung neuronaler Netze, stark zugenommen. Die umfassend überarbeitete, erweiterte und jetzt zweifarbig gestaltete Neuauflage beschreibt alle wesentlichen Aspekte der Mustererkennung systematisch und verständlich. Mit Lösungsheft! (01/00)

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471056693
ISBN-13
9780471056690
eBay Product ID (ePID)
1015208

Product Key Features

Author
Richard O. Duda, David G. Stork, Peter E. Hart
Publication Name
Pattern Classification
Format
Hardcover
Language
English
Features
Revised
Publication Year
2000
Type
Textbook
Number of Pages
688 Pages

Dimensions

Item Length
9.9in
Item Height
1.2in
Item Width
6.8in
Item Weight
40.9 Oz

Additional Product Features

Number of Volumes
2 Vols.
Lc Classification Number
Q327.D83 2000
Volume Number
Pt. 1
Edition Description
Revised Edition
Edition Number
2
Reviews
"...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model." ( Journal of Statistical Computation and Simulation , March 2006) "...strongly recommended both as a professional reference and as a text for students..." ( Technometrics , February 2002) "...provides information needed to choose the most appropriate of the many available technique for a given class of problems." ( SciTech Book News , Vol. 25, No. 2, June 2001) "This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." ( Mathematical Reviews , Issue 2001k) "...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." ( Zentralblatt MATH , Vol. 968, 2001/18) "attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001), "...it provides a good introduction to the subject of Pattern Classification." (Journal of Classification, September 2007) "...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model." (Journal of Statistical Computation and Simulation, March 2006) "...strongly recommended both as a professional reference and as a text for students..." (Technometrics, February 2002) "...provides information needed to choose the most appropriate of the many available technique for a given class of problems." (SciTech Book News, Vol. 25, No. 2, June 2001) "I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!" (Pattern Analysis & Applications Journal, 2001) "This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001k) "...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." (Zentralblatt MATH, Vol. 968, 2001/18) "attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001)
Table of Content
Bayesian Decision Theory. Maximum-Likelihood and Bayesian Parameter Estimation. Nonparametric Techniques. Linear Discriminant Functions. Multilayer Neural Networks. Stochastic Methods. Nonmetric Methods. Algorithm-Independent Machine Learning. Unsupervised Learning and Clustering. Appendix. Index.
Copyright Date
2001
Topic
Electronics / Digital, Statistics, Computer Vision & Pattern Recognition
Lccn
99-029981
Dewey Decimal
006.4
Intended Audience
Scholarly & Professional
Dewey Edition
21
Illustrated
Yes
Genre
Computers, Technology & Engineering, Business & Economics

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item 1 Pattern Classification - Hardcover, by Duda Richard O.; Hart - Acceptable n
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item 2 PATTERN CLASSIFICATION (PT.1) By Richard O. Duda & Peter E. Hart - Hardcover VG+
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item 3 Pattern Classification
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item 4 Pattern Classification by Duda, Richard O.
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item 5 Pattern Classification (Pt.1) - Hardcover By Duda, Richard O. - GOOD
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item 6 Pattern Classification (Pt.1) - Hardcover By Duda, Richard O. - VERY GOOD
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item 7 Pattern Classification by Duda, Richard O., Hart, Peter E., Stork, David G.
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Most relevant reviews

4 out of 5 stars
by optimusprime032...Mar 04, 2007
A good book, but not a excellent one
Easy to get in, introducing a lot of stuffs for clustering, but just stop here. No more further talking. Those questions in each chapters are also not so good. I mean it asked the quesions in a weird way. You could not figure out what it want you to solve.
2 out of 5 stars
by mariamarvelaAug 28, 2009
Low paper quality.
The price was pretty good but it's material quality is really low. If you want to keep this book on your bookcase for a long time, I do not recommend to buy this international edition.

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