DocumentCode :
1114768
Title :
B74-21 Patern Classification and Scene Analysis
Author :
Pavlidis, Theodosios
Author_Institution :
Dep. of Elec. Eng. Princeton University
Issue :
2
fYear :
1974
Firstpage :
223
Lastpage :
223
Abstract :
This book covers most of the major topics in pattern recognition at a level appropriate to a new student of the field. Therefore it can be very useful as a textbook either for an introductory graduate, or an advanced undergraduate course. The authors have deliberately played down the mathematical formalism (no long or rigorous proofs) and assumed only that background which students in such courses are expected to have. They supply numerous problems and quite a few illustrative and instructive examples. One attractive feature is the critical evaluation of many of the techniques discussed which their own experience enables them to do. I enjoyed reading statements like the one on p. 179 about the literature on linear discriminant functions. Finally each chapter is followed by extensive historical and bibliographical remarks.
Keywords :
Books; Decision theory; Image analysis; Linear programming; Maximum likelihood estimation; Pattern analysis; Pattern recognition; Shape; Stochastic processes; Unsupervised learning;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/T-C.1974.223910
Filename :
1672503
Link To Document :
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