This
page collects some links for my research.
Machine Learning and Pattern Recognition Sites
Algorithms and Programming
Books I am reading
Pattern Classification (2nd Edition), by Duda, Hart, and Stock
Pattern Recognition and Machine Learning, by Christopher M. Bishop
Kernel Methods for Pattern Analysis, by John Shawe-Taylor and Nello Cristianini
Learning with Kernels, by Bernhard Schölkopf and Alex Smola
Learning Bayesian Networks, by Richard E. Neapolitan
Bayesian Artificial Intelligence, by Kevin B. Korb and Ann E. Nicholson
Pattern Theory: From Representation to Inference, by Ulf Grenander and Michael Miller
Combining Pattern Classifiers
Handbook of Face Recognition
Face Processing
Emerging Topics in Computer Vision
...
Journals TPAMI TMI IJCV CVIU PR PRL
Conferences Computer Vision Conference
CVPR(2007 2006 2005 2004 2003) ICCV(2005) ECCV (2006) ICPR (2006 2004)
NIPS ICML(2006 2005 2004 2003 2002) AAAI IJCAI
Literatures Keith Price Bibliography CiteSeer IEEE Explore
Computer Vision Sites
Computer Vision Homepage at CMU
Detection
Tracking
Condensation Sequential Monte Carlo Methods
Recognition
Face Recognition Grand Challenge: FRGC
Facial Expression Homepage at KASRL
Facial Expression Project in CMU Affective Computing at MIT
Machine Learning and Pattern Recognition Sites
Kernel Based Learning Methods
SVM:
Support Vector Machine
Manifold Learning
Martin Law's Manifold Learning Links
Graphical Models
Markov Random Fields
Bourman's Tutorial on ICIP 1995 Figueiredo's Tutorial on CVPR 1998
Wallach's Link for Conditional Random Markov Field
Bayesian Networks
Murphy's Introduction to Bayesian Networks
Boosting
A Statistical Learning/Pattern Recognition Glossary by Minka
Mathematical
General Reference: Mathworld
Tutorial: MPLab Tutorial
Linear Algebra: Matrix Cookbook
Probability:
Optimization: Optimization Online NEOS Guide
Algorithms and Programming