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:

Lecture notes


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
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