Instructor Information: James H. Elder 0003G Computer Science and Engineering Building
tel: (416) 7362100 ext. 66475 fax: (416) 7365857
email: jelder@yorku.ca website: www.yorku.ca/jelder
The goal of this course is to provide a framework and computational tools for modeling visual inference, motivated by interesting examples from the recent literature. Models may be realized as algorithms to solve computer vision problems, or may constitute theories of visual processing in biological systems. The foundation of the course is a treatment of visual processing as a problem of statistical estimation and inference, grounded in the ecological statistics of the visual world.
Everyone should read the paper prior to the presentation and be prepared to discuss it.
Week 
Date 
Topic 
Required Readings 
Additional Readings 
Application Paper (Presenter) 
1 
M Sept 13 
Probability & Bayesian Inference 
Bishop Ch 1.11.2.5 (29 pages) 
Pearl Ch 1.41.6, 2 

2 
M Sept 20 
Probability Distributions & Parametric Modeling (cntd.) 
Bishop Ch 2.5 (7 pages) 
Duda Ch 4.14.5 
Comaniciu & Meer 2002 (Ron Tal) 
3 
M Sept 27 
Expectation Maximization 
Prince Ch 5 (11 pages) 
Bishop Ch 9 
Stauffer & Grimson 1998 (Paria Mehrani) 
4 
M Oct 4 
Linear Subspace Models 
Prince Ch 6.66.7, 6.9 (12 pages) 
Duda Ch 10.1310.14 
Tenenbaum et al 2000 

M Oct 11 
Reading Week 



5 
M Oct 18 
Linear Regression 
Bishop Ch 3 (36 pages) 
Prince Ch 7.17.2 
Moghaddam 2002 
6 
M Oct 25 
Linear Classifiers 
Bishop Ch 4.14.3 (34 pages) 
Duda 5.15.8 
Belhumeur et al 1997 (Brian Kim) 
7 
M Nov 1 
NonLinear Regression & Classification 
Bishop Ch 6 (29 pages) 
Prince Ch 7.37.4 
Toyama & Blake 2001 
8 
M Nov 8 
Sparse Kernel Machines 
Bishop 7.1 (20 pages) 

Agarwal & Triggs 2006 (Eduardo Corral Soto) 
9 
M Nov 15 
Graphical Models: Introduction 
Bishop Ch 8.18.3 (34 pages) 

Freeman et al 2000 (Ravi Persad) 
10 
M Nov 22 
Graphical Models: Inference 
Bishop Ch 8.4 (25 pages) 

Boykov & FunkaLea 2006 (Chao Luo) 
11 
M Nov 29 
Graphical Models: Applications 
Prince Ch 1011 (56 pages) 

Frey & Jojic 2005 
12 
M Dec 6 
Sampling Methods 
Bishop Ch 11 (32 pages) 

Zhu 1999 