Lecture Notes

Syllabus and instructional objectives  are also available for download. Make sure that you check the last updated notice at the bottom, since you will be responsible from the latest version at all times.

 

Date                                         Topic                                   

Pre-class                                     Background / Math Fundamentals

(Also see announcements page)

September 4, 6                          Introduction

September 11, 13                      Bayes Decision Theory

September 18, 20                      Density Estimation (updated)

September 25, 27                     PCA/FLD   Linear Classifiers

October 2, 4                               Multilayer Perceptrons I / Part II   

October 9, 11                             MLP—Demos / RBF Networks

October 16, 18                           RBF—Demos / SVMs—Part I

October 23, 25                           SVMs (updated) / Structral R.M.

October 30, Nov 1                     Ensemble Based Systems      

November 6, 8                           AdaBoost and Learn++

November 13, 15                      Learn++ and Its Applications          

November  20, 22                     Classifier Combination Rules          

November 27, 29                      B-V Analysis, Diversity / Fuzzy I.S.

December 4, 6

December 11, 13                             Student Presentations     

                                                                                          

 

Advanced Topics in

Pattern Recognition

ECE 455 /.555

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