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    Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda P. E. Hart and D. G. Stork John Wiley Sons 2000

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    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

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    Course Description This course will introduce the fundamentals of pattern recognition. First we will focus on generative methods such as those based on Bayes decision theory and related techniques of parameter estimation and density estimation.

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    RICHARD O. DUDA PhD is Professor in the Electrical Engineering Department at San Jose State University San Jose California. PETER E. HART PhD is Chief Executive Officer and President of Ricoh Innovations Inc. in Menlo Park California. DAVID G. STORK PhD is

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    • Understand computational issues with pattern recognition problems. • Have had some research experience in pattern recognition. Textbook and Class Materials Required textbook "Pattern Classification" by Richard O. Duda Peter E. Hart and David G. Stork 2nd Edition Wiley-Interscience (ISBN ) and papers from the literature.

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