CPSC
689-602: Special Topics in
Pattern Classification
Fall 2007
Instructor: Ricardo Gutierrez-Osuna
Office: 520A HRBB
Phone: 979.845.2942
Email: rgutier@cs.tamu.edu
This webpage contains on-line and material for the course. Please send me a message if you have any suggestions for improvement or if you find errors in this posted material:
Topic |
Lecture slides |
Introduction to Pattern Recognition |
|
Review of Statistics and Probability |
|
Linear Algebra and MATLAB |
|
Bayesian Decision Theory |
|
Quadratic Classifiers |
|
Parameter Estimation |
|
Kernel Density Estimation |
|
Nearest Neighbors |
|
Linear Discriminant Functions |
|
Cross-validation
|
|
Principal Components (GIF) |
|
Fisher's Linear Discriminants |
|
Feature
Subset Selection |
|
Advanced Dimensionality Reduction |
|
Mixture Models and EM (MPEG) |
|
Statistical Clustering (MPEG) |
|
Independent
Components Analysis |
|
Support Vector Machines |
|
SVMs and Kernel Methods |
|
Kernel PCA/LDA |
|
Discrete HMMs, Viterbi |
|
Baum-Welch and Entropic Training |
|
Ensemble Learning |
Homework assignments
Homework # |
Material |
1 |
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2 |
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3 |