This page collects some links for my research.

Books I am reading

Journals and Conference      


Computer Vision Sites

Machine Learning and Pattern Recognition Sites


Algorithms and Programming Tips



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

MICCAI      IPMI        ISBI

Literatures   Keith Price Bibliography    CiteSeer      IEEE Explore

Computer Vision Sites

Computer Vision Homepage at CMU   



      Face Detection


Kalman Filtering

Condensation      Sequential Monte Carlo Methods


Face Recognition Homepage

Face Recognition Grand Challenge: FRGC

Facial Expression

      Facial Expression Homepage at KASRL

      Human Face Website

      Facial Expression Project in CMU        Affective Computing at MIT

Machine Learning and Pattern Recognition Sites

Kernel Based Learning Methods

       Kernel Method Website

SVM:  Support Vector Machine  LIBSVM Software

Manifold Learning

ISOMAP Homepage   LLE Homepage

Martin Law's Manifold Learning Links

Graphical Models

Markov Random Fields

      S. Li's book on MRF    

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

BNT Matlab Toolbox


     Schapire's boosting website


A Statistical Learning/Pattern Recognition Glossary by Minka




    General Reference: Mathworld


     Tutorial: MPLab Tutorial


     Linear Algebra: Matrix Cookbook




     Optimization: Optimization Online NEOS Guide



Algorithms and Programming

    Open Directory of Algorithms


    C++ FAQ Lite, MSDN

     OpenCV, VTK, ITK

     Matlab File Exchange


    Use text files for both Windows and Unix