Pattern Recognition - Research Article from Macmillan Science Library: Computer Sciences

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Bunke, Horst, and Alberto Sanfeliu. Syntactic and Structural Pattern Recognition: Theory and Applications. Teaneck, NJ: World Scientific, 1990.

Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern Classification. New York: John Wiley and Sons, 2001.

Fischler, Martin A., and Oscar Firschein. Intelligence: The Eye, the Brain, and the Computer. Reading, MA: Addison-Wesley, 1987.

Jain, Anil K., Ruud Bolle, and Sharath Pankanti, eds. Biometrics: Personal Identification in a Networked Society. Boston: Kluwer, 1999.

Mitchell, Tom M. Machine Learning. Boston: McGraw-Hill, 1997.

Shapiro, Linda G., and George C. Stockman. Computer Vision. Upper Saddle River, NJ: Prentice Hall, 2001.

ambiguity the quality of doubtfulness or uncertainty; often subject to multiple interpretations

labeled data a data item whose class assignment is known independent of the classifier being constructed

training data data used in the creation of a classifier

Gaussian classifiers classifiers constructed on the assumption that the feature values of data will follow a Gaussian...

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This section contains 178 words
(approx. 1 page at 300 words per page)
Buy the Pattern Recognition Encyclopedia Article
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Macmillan Science Library: Computer Sciences
Pattern Recognition from Macmillan Science Library: Computer Sciences. Copyright © 2001-2006 by Macmillan Reference USA, an imprint of the Gale Group. All rights reserved.
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