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CSE555: Introduction to Pattern Recognition Midterm Exam Solution (100 points, Closed book/notes) There are 5 questions in this exam. The last page is the Appendix that contains some useful formulas.

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Pattern Recognition (4005-759, 20092 RIT) Exercise 1 Solution Instructor: Prof. Richard Zanibbi The following exercises are to help you review for the upcoming midterm examination on Thurs-day of Week 5 (January 14th). If things are unclear, please bring questions to class, visit Prof.

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Pattern Classification, Chapter 1 26 Component Analysis and Discriminants Combine features in order to reduce the dimension of the feature space Linear combinations are simple to compute and tractable Project high dimensional data onto a lower dimensional space Two classical approaches for finding "optimal" linear transformation PCA (Principal Component Analysis) "Projection that

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Pattern recognition systems. Neural networks (Computer science) Neutral networks (Computer science) Solutions manual to accompany pattern classification / Richard …

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Pattern Classiflcation (2nd ed.) Richard O. Duda, Peter E. Hart and David G. Stork September 3, 1997 NOT FOR GENERAL DISTRIBUTION; for use only by students of designated faculty. This is a pre-publication print of material to appear in Duda, Hart and Stork: Pattern Classiflcation and Scene Analysis: Part I Pattern

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