4005-759-01: Pattern Recognition (RIT CS, 20081)

Department of Computer Science
Pattern Recognition (Topics in Artificial Intelligence, Fall 2008)

4005-759-01 (Calendar Description)
Home --- Syllabus --- Schedule & Slides --- Assignments --- Resources


Instructor: Richard Zanibbi, Office hours: 2-3:50pm Tuesdays and Thursdays, Room 70-3551 (Golisano College)
Lectures: 10-11:50am Tuesdays and Thursdays, Room 70-2590 (Golisano College)

Schedule and Slides

Groups for seminar presentations are indicated below using last names in alphabetical order. Please note that this schedule will be updated during the quarter.


Week Topics Readings Notes
1 Overview, Evaluating Classifiers Ch. 1
2 Bayesian Decision Theory Ch. 2
3 Parameter Estimation: Maximum Likelihood Ch. 3 Thurs: Paper proposal due
4 Nonparametric Methods (e.g. nearest neighbor) Ch. 4
Defelice, Hays, Pillay (slides) 4.1 - 4.3
Rezenbrink, Robble, D. Roberts (slides) 4.4 - 4.5
Mao, Wang, Yu (slides, refs, Active Contour Paper) 4.6, 4.7, 4.9
5 Linear and Quadratic Classifiers, SVMs Ch. 5 Thurs: Project proposal due
Busser, Karthigeyan, O. Roberts (slides, additional notes) 5.1 - 5.4
Nicolosi, Santhanam (slides, Wan paper, Khardon and Wachmann paper) 5.5 - 5.7
Defelice, Hays, Pillay (slides) 5.8 - 5.9, 5.11
6 Neural Networks and Parameter Estimation Ch. 6 Thurs: Midterm (1 hr)
Rezenbrink, Robble, D. Roberts (slides) 6.1 - 6.3
Mao, Wang, Yu (slides) 6.4 - 6.6
7 Classifier Combination Ch. 9 Thurs: Last day to submit paper draft
Busser, Karthigeyan, O. Roberts (slides, paper) 9.3 - 9.5
Nicolosi, Santhanam (slides , notes, papers: first, second, third) Kuncheva 4.1 - 4.4
Defelice, Hays, Pillay (slides) Kuncheva 5.1 - 5.3
8 Clustering Ch. 10
Rezenbrink, Robble, D. Roberts (slides) 10.1 - 10.4.3
Mao, Wang, Yu (slides) 10.5, 10.7
Busser, Karthigeyan, O. Roberts (slides) 10.9 - 10.10, 10.14
9 Syntactic Pattern Recognition, Review Fu, Schalkoff texts Thurs: Project report due
Nicolosi, Santhanam (slides, paper 1, paper 2) TBA: see Prof. Zanibbi
10 Project Summary, Research Paper Presentations Thurs: Final paper due