QUANG HOANG'S BLOG

1. LEAR - INRIA - Prof. Bill Triggs and Cordelia Schmid.
   * Krystian Mikolajczyk - Surrey Uni, UK.
   * Gyuri Dorkó - MIS, Darmstadt.
   * Navneet Dalal.
2. Oxford VG Group - Prof. Andrew Zisserman.
   * Rob Fergus - MIT.
   * Josef Sivic
3. CV Group at Caltech - Prof. Pietro Perona.
   * Li Fei-Fei - UIUC.
4. CV Lab at ETH Zurich - Prof. Luc Van Gool.
   * Bastian Leibe
5. MIS Lab at Darmstadt - Prof. Bernt Schiele.
6. VMG at GRAZ - Prof. Axel Pinz.
   * A. Opelt
7. MERL
   * Shai Avidan
   * Michael Jones
8. * Baback Moghaddam
9. MVG at Oulu - Prof. Matti Pietikäinen.
   * Timo Ahonen
10. Computer Vision at MSR, UK
11. FaceID at JDL, China - Prof. Wen Gao.
12. CBSR at CASIA, China - Prof. Stan Z. Li.
13. Multimedia Lab at CUHK, HK - Prof. X. Tang
14. Others
    * Ognjen Arandjelović: University of Cambrige, UK.

@Data Mining

1. CMU Database Group - Prof. C. Faloutsos
   * Jia-Yu (Tim) Pan
2. Michael E. Houle, NII - GreedyRSC and SASH
3. Hans P. Kriegel - DBScan
4. Prof. Xindong Wu - UVM - Founder of ICDM
5. Prof. Eamonn Keogh - Time Series Classification/Mining
6. UIUC Data Mining Research Group - Prof. Jiawei Han

@ People of Interest

@ @ Computer Vision, Pattern Recognition and Image Processing
1. ICCV 2007
2. ECCV 2006 2008
3. CVPR 2006 2007
4. BMVC 2006 2007
5. ICPR 2006 2008
6. WACV 2007
7. ACCV 2006 2007
8. FGR 2006 2008
9. DAGM 2006 2007
10. ICB 2007
11. ICIP 2006 2007
12. ICASSP 2006 2007 2008.
13. ICVS 2007

@ Multimedia
1. ACM Multimedia (ACMM) 2006 2007
2. ICME 2006 2007
3. CIVR 2006 2007
4. Multimedia Modeling (MM) 2006 2007 2008 .

@ Data Mining and Databases
1. SIG KDD 2006 2007
2. ICDM 2006 2007
3. ICDE 2006 2007 2008.
4. SDM 2007 2008.
5. PAKDD 2006 2007 2008.
6. ECML/PKDD 2006 2007 2008.
7. DEXA 2006 2007

@ Information Retrieval
1. SIG IR 2006 2007
2. CIKM 2006 2007
3. JCDL 2006 2007

@ Machine Learning
1. NIPS 2006 2007
2. ICML 2006 2007
3. IJCAI 2006 2007
4. AAAI 2006 2007
5. ECAI 2006 2008

@ Others
1. SIGGRAPH 2006 2007
2. WWW 2006 2007

@ Other Links
1. Software Engineering Conferences
2. Systems and Networking Conferences
3. Database Conferences
4. Information Retrieval Conferences and SIG IR Conferences
5. Data Mining Conferences and Data Mining and Knowledge Discovery: Forthcoming Meetings
6. Computer Vision Conferences
7. Multimedia Conferences @ Conferences of Interest

1. General rankings from Assourav, Zaiane, Guofei, and NUS
2. Citeseer's Conference Impact Ratings (from 2003)
3. Other rankings: Software Engineering, Security, Systems and Networking, Computational Intelligence,

1. General rankings from Assourav, XLi
2. Journal Ranking and Average Impact Factors

@ PhD Howto

1. Research Methods in Computer Science
2. Useful Things to Know About Ph. D. Thesis Research, H.T. Kung, Harvard, Oct 1987
3. PhD Notes, Matthew Turk, UCSB
4. Ph.D. in Computer Science at CMU
5. How to make a Ph.D, A. Wegmann, EPFL
6. Guidelines on PhD Research and Supervision, Roberto Cipolla, Cambridge, Aug 1995
7. PhD How to Guides, Alan Bundy
8. Notes on the PhD Degree. Douglas Comer
9. How to Be a Good Graduate Student, Marie desJardins, March 1994
10. Graduate School Survival Guide
11. How to do Research At the MIT AI Lab, David Chapman, Oct 1998
12. Paper Reading Check List
13. Advice for Researchers and Students, compiled by M. Ernst.
14. Suggested Guidelines for Finding Materials, G.E. Kaiser.
15. Guides for researchers and students in Software Engineering.
16. Research Skills, Simon Peyton Jones, Microsoft Research.

1. Wikipedia
2. Google and Google Scholar
3. DBLP
4. ScienceDirect
5. IEEE Xplore
6. CiteSeer
7. LNCS and LNAI
8. Scirus
9. USC Computer Vision Bibliography
10. List of Academic Journal Search Engines
11. The Collection of Computer Science Bibliographies

@ Writing Guides

1. Advice on Research and Writing

@ Tools, Libraries and Softwares

1. Intel Open Source Computer Vision Library
2. LIBSVM -- A Library for Support Vector Machines
3. Torch - Machine Learning Software Library
4. The CSU Face Identification Evaluation System
5. LingPipe - Java Libraries for the Linguistic Analysis of Human Language
6. VXL (the Vision-something-Libraries)
7. Netlab Neural Network Software

@ Databases and Archives

1. The Facial Recognition Technology (FERET) Database
2. CMU Face Database
3. MIT CBCL Face Data
4. BANCA Database
5. The Yale Face Database
6. Essex Face Recognition Data
7. The AR Face Database
8. The UMIST Face Database
9. The PASCAL Object Recognition Database Collection
10. 2005 OTCBVS Benchmark Dataset Collection

@ Courses and Tutorials

1. Machine Learning at CMU
2. ICCV 2003 - Course on Learning and Vision
3. ICCV 2005 - Course on Recognizing and Learning Object Categories
4. Machine Learning Summer School 2003
5. Workshop on Category Level Object Recognition

@ Networks, Associations and Societies

1. IEEE CS - IEEE Computer Society
2. ACM - The Association for Computing Machinery
3. IAPR - The International Association for Pattern Recognition
4. BMVA - The British Machine Vision Association
5. PASCAL - Pattern Analysis, Statistical modelling and ComputAtional Learning
6. FGnet - Face and Gesture Recognition Working group
7. ECVision - European Research Network for Cognitive Computer Vision Systems
8. AAAI - The American Association for Artificial Intelligence

@ Other Resources

1. Face Recognition Homepage
2. CV Online
3. Paper on Face Recognition - Wang
4. Machine Learning and Friends at CMU
5. A Statistical Learning/Pattern Recognition Glossary
6. Pattern Recognition on the Web