Schedule

Please note the schedule and readings may change during the quarter. Any changes will be announced in-class.

Week	Topics	Notes
1	Overview, Probability and Decision Theory
	Ch. 1
2	Linear Classifiers	Wed: Assign 1 due
	Ch. 4.1-4.3
3	(TBD)	Wed: Assign 2 due
4	Neural Networks	Wed: Project 1 assigned
	Ch. 5.1-5.5
5	Support Vector Machines	Wed: Assign 3 due
	Ch. 6.1-6.2, 7.1
6	Principal Component Analysis, Dim. Reduction	Wed: Project 1 due
	Ch. 12.1, Sections from Theodoridis and Koutroumbas (TBA)
7	Clustering and Segmentation	Wed: Project 2 assigned
	Ch. 9, Sections of DHS Ch. 10
8	Structural Recognition (with examples from Math Notation Recognition)	Wed: Assign 4 due
	(Rabiner papers, research papers)
9	Classifier Ensembles and Co-Clustering	Wed: Assign 5 due
	Ch. 14, Excerpts from Kuncheva ("Combining Pattern Classifiers")
10	Final Project Presentations, Review	Wed: Project 2 due
11	Final Exam Friday. Nov. 18 10:15am-12:15pm, Room GOL-3550 (regular classroom)