CSCE 768 Pattern Recognition and Classification

Powerpoint Lecture Slides

Chapter 1

Chapter 2 part 1 (pdf version)

Chapter 2 part 2 (pdf version)

Chapter 2 part 3 (pdf version)

Chapter 3 part 1 (pdf version)

Chapter 3 part 2 (pdf version)

Chapter 3 part 3 (pdf version)

Lecture Notes from January 31

Lecture Notes from February 2

Chapter 3: Expectation Maximization (pdf only)

Chapter 3: Hidden Markov Models (pdf only)

Chapter 4: section 4.1-4.4(pdf only)

Chapter 4: section 4.5 (pdf only)

Chapter 4: section 4.6 (pdf only)

Chapter 4: sections 4.7-4.9 (pdf only)

Chapter 5: sections 5.1-5.3 (pdf only)

Chapter 5: sections 5.4-5.5 (pdf only)

Lecture Notes for sections 5.4-5.5

Chapter 5: sections 5.5-5.9 (pdf only)

Lecture Notes for sections 5.6-5.7

Chapter 5: SVMs

Chapter 6 (pdf version)

Lecture Notes for Chapter 7

Chapter 10

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