This page collects some links for my research.

Books I am reading

Journals and Conference      

Literatures      

Computer Vision Sites

Machine Learning and Pattern Recognition Sites

Mathematical

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   

CVOnline

Detection

      Face Detection

Tracking

Kalman Filtering

Condensation      Sequential Monte Carlo Methods

Recognition

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

Boosting

     Schapire's boosting website

 

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

    Open Directory of Algorithms

 

    C++ FAQ Lite, MSDN

     OpenCV, VTK, ITK

     Matlab File Exchange

 

    Use text files for both Windows and Unix