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vpa
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Joined: 16 May 2005
Posts: 1777

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PostPosted: Wed Aug 03, 2005 2:18 pm  Post subject:  EE 566 - Pattern Recognition [this semester] Reply with quoteBottom of PageBack to top

EE 566 - Pattern Recognition
Term: Fall Quarter 2004-2005

Coordinator: Aytul Ercil

Textbook: Richard O. Duda, Peter E. Hart, David G. Stork Pattern Classification, 2002

References: Robert Schalkoff, Pattern Recognition, Statistical, Structural and Neural Approaches, 1992
Sergios Theodoridis, Konstantinos Koutroumbas, Pattern Recognition, 1999.




Prerequisites by topic:
1. Ability to use write computer programs in C or use packages like Matlab
2. Basic probability concepts


Topics:
1. Introduction to Pattern Recognition and applications, fundamentals of pattern recognition systems
2. Statistical Pattern Recognition
a. Parametric Estimation and Supervised Learning
b. Bayesian Decision Theory
c. Supervised learning using nonparametric approaches (Parzen windows, Nearest Neighbor)
d. Linear Discriminant Functions
3. Feature extraction/selection
4. Neural Pattern Recognition
5. Syntactic Pattern Recognition
6. Nonmetric Methods
7. Unsupervised Learning and Clustering
8. Hidden Markov Models
9. Combining Classifiers




Assignments:
Several homework assignments for the above topics, some requiring C/Matlab programming, some requiring use of packages like Systat, CART.

Projects:
Term project for each student which involves the implementation of pattern recognition techniques for a real-world problem. (10 weeks)

Grading:
Homeworks: % 15
Midterm Exam % 25
Final Exam % 25
Project % 35


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David G. Stork
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PostPosted: Wed Aug 09, 2006 7:54 pm  Post subject: Roleplay Support for Pattern Classification Reply with quoteBottom of PageBack to top

Students seeking errata lists for Pattern Classification, information on Matlab code, and other support material, should go to this link: www.rii.ricoh.com/~stork/DHS.html


  
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