转载自：
[转载整理]计算机视觉及机器学习牛人和资料 - Kenneth CHOU - 博客园
http://www.cnblogs.com/wangqiqi/p/3786157.html
Paper毕竟是死的，写Paper的人才是活的，那么现在就研究一下CV圈的格局，按师承关系，总结成一个树形结构[参考1]。
David Marr
----->Shimon Ullman (Weizmann)
----->Eric Grimson (MIT)
----->Daniel Huttenlocher (Cornell)
----->Pedro Felzenszwalb (Chicago)
Thomas Binford (Stanford)
----->David Lowe (UBC)
----->Jitendra Malik (UC Berkeley)
----->Pietro Perona (Caltech)
----->Stefano Soatto (UCLA)
----->Fei-Fei Li (Princeton)
----->Jianbo Shi (UPenn)
----->Yizhou Yu (UIUC)
----->Christoph Bregler (NYU)
----->Serge Belongie (UCSD)
----->Alyosha Efros (CMU)
Andrew Blake (Microsoft Research Cambridge)
----->Andrew Zisserman (Oxford)
----->Andrew Fitzgibbon (Microsoft Research Cambridge)
----->Roberto Cipolla (Cambridge)
----->Alan Yuille (UCLA)
(UK这个学派的师承关系不太清楚, 这是我听说加上自己猜测的. 事实上, 几个非常优秀的researcher如Vladimir Kolmogorov虽然不是Andrew Blake的学生, 但是也属于这个学派. )
Thomas Huang (UIUC)
----->Yong Rui (Microsoft Research Redmond)
----->Nebojsa Jojic (Microsoft Research Redmond)
----->Ying Wu (Northwestern University)
----->Hai Tao (UCSC)
----->Yuncai Liu (SJTU)
(Huang这个系的人太多, 而且很怪的是, UIUC的web上信息不全, 在此仅列出我知道的.)
此外, 还有Takeo Kanade等非常有名的大牛, 囿于篇幅, 不一一列举. 从上得知, 加州派基本占了cv的半壁江山. 最近几年, 特别活跃的cv guys是
USA
Jitendra Malik, UC Berkeley
Pietro Perona, Caltech
Serge Belongie, UCSD
Jianbo Shi, UPenn
Stefano Soatto, UCLA
Fei-Fei Li, Princeton
William Freeman, MIT
Trevor Darrell, MIT
Simon Baker, CMU
Yanxi Liu, CMU
Songchun Zhu, UCLA
Alan Yuille, UCLA
Yi Ma, UIUC
Michael Black, Brown
Carlo Tomasi, Duke
Ramin Zabih, Cornell
Shree Nayar, Columbia
Rama Chellappa, Maryland
Steve Seitz, University of Washington
Europe
Andrew Zisserman, Oxford, UK
Andrew Fitzgibbon, Microsoft Research Cambridge, UK
Roberto Cipolla, Cambridge, UK
Jean Ponce, INRIA, France
Cordelia Schmid, INRIA, France
Bill Triggs, LEAR, France
Yair Weiss, Hebrew University, Israel
Anat Levin, Hebrew University, Israel
Michal Irani, Weizmann, Israel
Luc van Gool, University of Leuven/ETH Zurich, Czechic
China
Harry Shum, MSRA
Xiaoou Tang, MSRA/CUHK
Jian Sun, MSRA
Steve Lin, MSRA
Yasuyuki Matsushita, MSRA
Zhouchen Lin, MSRA
Long Quan, HKUST
Chi-Keung Tang, HKUST
Olivier Faugeras
----Ponce UIUC
---lazebnik
----Zhengyou Zhang MSR
----Martial Hebert CMU
Mit AI lab
poggio
---Oliva
---serre
Freeman 80年代还来太原理工扶贫了
---Y. Weiss
----- Levin
---Antonio Torralba （research scientist）
Trevor Darrell
---Grauman
补充一下 Zisserman还有一个不错的学生lifeifei的合作者Rob Fergus
按研究方向分分，应该更合理一些。
现在计算机视觉，计算机图形图像，机器学习开始融合到一起了吧。
J. Malik，Zhu Songchu偏segmentation；
D. Lowe, S. Ullman, Poggio 偏于从生物视觉的启发来研究视觉；
Zisserman, Schmid, Lowe研究局部特征；
Luc Van Goo， Long Quanl三维重建；
Perona, Li Feife， Freeman视觉i学习，物体分类；
还有运动分析，视觉跟踪，纹理分析.............
MIT的Brain & Cognitive Science Dept和CSAIL里面聚集了一帮人，有的作low level有的作mid level to high level的。他们的工作是值得关注的。
当然说视觉还是要从伟大的David Marr开始。Tomaso Poggio, Richard Whitman是Marr的同事，传承了其理念，一直往下走。Poggio最近几年比较重点的工作放在他那个hierarchical model上。
T. Poggio的第一个PhD学生是Christof Koch （kLab at Caltech）。哦，顺便说一下Koch的另外一个导师是Valentino Breitenberg——同样是影响了一个时代的大人物。Koch研究重点兴趣在consciousness上，在Nature上的很多文章体现了他的研究思想。不过他们也做不少初级的视觉问题，诸如attention。Koch比较知名的弟子比如Laurent Itti和Li Feifei。
Richard Whitman 年纪比较大了，个人不是很关注他现在做的东西。不过他所在的Perceptual Science Group，是一个非常有影响力的地方，这个组其他大家比较熟悉的老师有Aude Oliva和EH Adelson。Adelson最著名的一个事儿是色彩恒常相关的视错觉，93年发在Science上的那篇。
关于Oliva，前面的帖子错了，她不是Poggio的学生，这家伙和Torralba是老乡，同在法国念书，主要从心理学那条路子开始做，成名之役是hybrid image，和Antonio Torrralba一起搞的。这个Hybrid Image 其实80年代就有了，但是最开始从心理学方向上探讨，没有非常有影响力的文章。后来开始靠谱作自然图像统计，得到Gist theory，当然这个illusion本身后来转投SIGGRAPH，其影响是深远的。嗯，这个和CV关系不大。Perceptual Science Group出了不少牛人，他们的alumni list可谓超豪华阵容：Yair Weiss, Josh Tenenbaum, Pawan Sinha, Bill Freeman……
CV_GUYS:
以下材料[参考3]感谢整理
92 Terrence Sejnowski (UCSD), IEEE Fellow, Member of the Institute of Medicine
89 Hector Garcia-Molina (Stanford), ACM Fellow, Member of the National Academy of Engineering
87 Jeffrey D. Ullman (Stanford), ACM Fellow, Member of the National Academy of Engineering
82 Robert Tarjan (Princeton), Turing Award, ACM Fellow, Member of the National Academy of Engineering
80 Deborah Estrin (UCLA), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
79 Christos H. Papadimitriou (Berkeley), ACM Fellow, Member of the National Academy of Engineering
77 Don Towsley (U Mass, Amherst), ACM Fellow, IEEE Fellow
73 Ian Foster (Argonne National Laboratory & U Chicago)
71 Scott Shenker (Berkeley), ACM Fellow, IEEE Fellow
70 David Culler (Berkeley), ACM Fellow, Member of the National Academy of Engineering
70 David Haussler (UC Santa Cruz)
69 Nick Jennings (U Southampton), Fellow of the Royal Academy of Engineering
68 Michael I. Jordan (Berkeley), AAAS Fellow, IEEE Fellow, AAAI Fellow
68 Takeo Kanade (CMU), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
64 Demetri Terzopoulos (UCLA), ACM Fellow, IEEE Fellow, Member of the European Academy of Sciences
64 Martin Vetterli (EPFL), IEEE Fellow
63 Marco Dorigo (U Libre de Bruxelles)
62 Alon Halevy [Alon Levy] (Google), ACM Fellow
61 Mario Gerla (UCLA), IEEE Fellow
58 Luca Cardelli (Microsoft), ACM Fellow
58 Ronald Fagin (IBM Almaden), ACM Fellow, IEEE Fellow, AAAS Fellow, ACM SIGMOD Edgar F. Codd Innovations Award
58 Anil K. Jain (Michigan State U), ACM Fellow, IEEE Fellow
58 Amit Sheth (Wright State U), IEEE Fellow
57 Martin Abadi (UC Santa Cruz and Microsoft), ACM Fellow
57 Mihir Bellare (UCSD)
57 Sushil Jajodia (George Mason U)
57 Leslie Lamport (Microsoft), Member of the National Academy of Engineering
56 David Dill (Stanford), ACM Fellow, IEEE Fellow
56 Randy H. Katz (Berkeley), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
56 Steven Salzberg (U Maryland)
56 HongJiang Zhang (Microsoft), ACM Fellow, IEEE Fellow
55 Jennifer Widom (Stanford), ACM Fellow, Member of the National Academy of Engineering
54 Jack Dongarra (U Tennessee), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
54 David E. Goldberg (UIUC)
54 Ken Kennedy (Rice), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
54 Amir Pnueli (Weizmann and New York University), Turing Award, ACM Fellow, Member of the National Academy of Engineering
54 Herbert A. Simon (CMU), Turing Award, ACM Fellow, Nobel Laureate
54 Jeffrey Vitter (Texas A&M), ACM Fellow, IEEE Fellow
54 Philip S. Yu (UIC), ACM Fellow, IEEE Fellow
53 Tim Finin (UMBC)
53 Sally Floyd (ICSI), ACM Fellow
53 Tomaso Poggio (MIT)
53 Eduardo Sontag (Rutgers), IEEE Fellow
52 Rakesh Agrawal (Microsoft), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
52 Stanley Osher (UCLA), Member of the National Academy of Sciences
51 Jiawei Han (UIUC), ACM Fellow
51 Richard Karp (Berkeley), Turing Award, ACM Fellow, Member of the National Academy of Engineering
51 Alex Pentland (MIT)
50 Andrew B. Kahng (UCSD)
50 Alberto Sangiovanni-Vincentelli (Berkeley), Member of the National Academy of Engineering
50 Lixia Zhang (UCLA), ACM Fellow
49 Serge Abiteboul (INRIA)
49 Rajeev Alur (U Penn), ACM Fellow, IEEE Fellow
49 Rama Chellappa (U Maryland)
49 W. Bruce Croft (U Mass, Amherst), ACM Fellow
49 Jon Crowcroft (U Cambridge), ACM Fellow, IEEE Fellow
49 David J. DeWitt (Wisconsin), ACM Fellow, Member of the National Academy of Engineering
49 Mark Handley (U College London)
49 Daphne Koller (Stanford), ACM Infosys Foundation Award
49 Maurizio Lenzerini (Sapienza Universita di Roma)
49 John McCarthy (Stanford), Turing Award, Member of the National Academy of Engineering
49 Michael Stonebraker (MIT), ACM Fellow, Member of the National Academy of Engineering
49 Sebastian Thrun (Stanford)
48 Michael J. Carey (UC Irvine), ACM Fellow, Member of the National Academy of Engineering
48 Kai Li (Princeton), ACM Fellow
48 Pavel Pevzner (UCSD)
48 Mihalis Yannakakis (Columbia), ACM Fellow
47 Wil van der Aalst (TU Eindhoven)
47 Leonard Kleinrock (UCLA), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
47 Jim Kurose (U Mass, Amherst), ACM Fellow, IEEE Fellow
47 Richard Lipton (Georgia Tech), ACM Fellow, Member of the National Academy of Engineering
47 Judea Pearl (UCLA), IEEE Fellow, Member of the National Academy of Engineering
47 Ben Shneiderman (U Maryland), ACM Fellow
46 Norman I. Badler (U Penn)
46 Hari Balakrishnan (MIT), ACM Fellow
46 David Harel (The Weizmann Institute of Science), ACM Fellow, IEEE Fellow
46 Geoffrey E. Hinton (Toronto)
46 Thomas S. Huang (UIUC), IEEE Fellow, Member of the National Academy of Engineering
46 Gordon Plotkin (U Edinburgh)
46 Tuomas Sandholm (CMU), ACM Fellow
46 Douglas C. Schmidt (Vanderbilt University)
46 John A. Stankovic (U Virginia), ACM Fellow
45 Olivier Faugeras (INRIA), Member of the French Academy of Sciences
45 Jose Joaquin Garcia-Luna-Aceves (UC Santa Cruz), ACM Fellow, IEEE Fellow
45 Jim Gray (Microsoft), Turing Award, ACM Fellow
45 M. Frans Kaashoek (MIT), ACM Fellow
45 Carl Kesselman (USC/ISI)
45 Vipin Kumar (U Minnesota), ACM Fellow, IEEE Fellow
45 Victor Lesser (U Mass, Amherst), AAAI Fellow
45 Heikki Mannila (U Helsinki)
45 Rajeev Motwani (Stanford), ACM Fellow
45 Badri Nath [B R Badrinath] (Rutgers)
45 Prabhakar Raghavan (Yahoo! Research), ACM Fellow, IEEE Fellow
45 Eero P. Simoncelli (NYU), IEEE Fellow
45 Moshe Y. Vardi (Rice), ACM Fellow, Member of the National Academy of Engineering
44 Victor Basili (U Maryland), ACM Fellow
44 Christos Faloutsos (CMU)
44 Oded Goldreich (Weizmann)
44 H. V. Jagadish (U Michigan), ACM Fellow
44 Amin Vahdat (UCSD)
43 Michael Franklin (Berkeley), ACM Fellow
43 Joseph Goguen (UCSD)
43 Ramesh Govindan (USC)
43 Simon Peyton Jones (Microsoft), ACM Fellow
43 Won Kim (Sung Kyun Kwan University), ACM Fellow
43 Barbara Liskov (MIT), Turing Award, ACM Fellow, Member of the National Academy of Engineering
43 David Maier (Portland State U), ACM Fellow
43 Robin Milner (U Cambridge, UK), Turing Award, ACM Fellow
43 Vern Paxson (ICSI), ACM Fellow
43 Krithi Ramamritham (IIT Bombay), ACM Fellow, IEEE Fellow
43 Ronald L. Rivest (MIT), Turing Award, ACM Fellow, Member of the National Academy of Engineering
42 Michael Arbib (USC)
42 Barry Boehm (USC), ACM Fellow
42 Pat Hanrahan (Stanford), ACM Fellow, Member of the National Academy of Engineering
42 Thomas A. Henzinger (EPFL), ACM Fellow
42 Donald E. Knuth (Stanford), Turing Award, ACM Fellow, Member of the National Academy of Engineering
42 Teuvo Kohonen (Academy of Finland)
42 Miron Livny (Wisconsin)
42 Jose Meseguer (UIUC)
42 Erkki Oja (Helsinki U of Technology)
42 David A. Patterson (Berkeley), ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
42 Micha Sharir (Tel Aviv University), ACM Fellow
42 Andrew S. Tanenbaum (Vrije U, The Netherlands), ACM Fellow, IEEE Fellow
42 Willy Zwaenepoel (EPFL), ACM Fellow, IEEE Fellow
41 Alex Aiken (Stanford), ACM Fellow
41 Stefano Ceri (Politecnico di Milano)
41 Didier Dubois (CNRS Toulouse)
41 Michael Kearns (U Penn)
41 Jon Kleinberg (Cornell), ACM Infosys Foundation Award
41 Monica S. Lam (Stanford), ACM Fellow
41 Kim G. Larsen (Aalborg U)
41 Jitendra Malik (Berkeley), ACM Fellow
41 Deborah L. McGuinness (RPI)
41 Raymond Mooney (UT Austin)
41 Alex Nicolau (UC Irvine)
41 Miodrag Potkonjak (UCLA)
41 Thomas W. Reps (U Wisconsin), ACM Fellow
41 Milind Tambe (USC), AAAI Fellow
41 Gene Tsudik (UC Irvine)
41 Philip Wadler (U Edinburgh), ACM Fellow
40 Andrew Appel (Princeton), ACM Fellow
40 Richard Baraniuk (Rice University), IEEE Fellow
40 Craig Chambers (U Washington)
40 Edmund M. Clarke (CMU), Turing Award, ACM Fellow, IEEE Fellow, Member of the National Academy of Engineering
40 Jason Cong (UCLA), ACM Fellow
40 Ingemar J. Cox (U College London), IEEE Fellow
40 Herbert Edelsbrunner (Duke U)
40 Saul Greenberg (University of Calgary), Member of the ACM CHI Academy
40 Rajiv Gupta (UC Riverside), IEEE Fellow
40 Christian S. Jensen (Aalborg U), IEEE Fellow
40 David S. Johnson (AT&T Labs), ACM Fellow
40 George Karypis (U Minnesota)
40 Henry Levy(U Washington), ACM Fellow, IEEE Fellow
40 Nancy Lynch (MIT), ACM Fellow, Member of the National Academy of Engineering
40 Maja Mataric (USC)
40 John Mitchell (Stanford), ACM Fellow
40 Charles E. Perkins (Nokia-Siemens Networks)
40 Benjamin Pierce (U Penn)
40 Raghu Ramakrishnan (Wisconsin), ACM Fellow
40 George Varghese (UCSD), ACM Fellow
40 Ian Witten (U Waikato), ACM Fellow
40 Andrew Zisserman (University of Oxford)
以下资料来源于[参考4]
牛人主页（主页有很多论文代码）
Serge Belongie at UC San Diego
Antonio Torralba at MIT
Alexei Ffros at CMU
Ce Liu at Microsoft Research New England
Vittorio Ferrari at Univ.of Edinburgh
Kristen Grauman at UT Austin
Devi Parikh at TTI-Chicago (Marr Prize at ICCV2011)
John Wright at Columbia Univ.
Piotr Dollar at CalTech
Boris Babenko at UC San Diego
David Ross at Google/Youtube
David Donoho at Stanford Univ.
大神们：
William T. Freeman at MIT
Roberto Cipolla at Cambridge
David Lowe at Univ. of British Columbia
Mubarak Shah at Univ. of Central Florida
Yi Ma at MSRA
Tinne Tuytelaars at K.U. Leuven
Trevor Darrell at U.C. Berkeley
Michael J. Black at Brown Univ.
重要研究组：
Computer Vision Group at UC Berkeley
Robotics Research Group at Univ. of Oxford
LEAR at INRIA
Computer Vision Lab at Stanford
Computer Vision Lab at EPFL
Computer Vision Lab at ETH Zurich
Computer Vision Lab at Seoul National Univ.
Computer Vision Lab at UC San Diego
Computer Vision Lab at UC Santa Cruz
Computer Vision Lab at Univ. of Southern California
Computer Vision Lab at Univ. of Central Florida
Computer Vision Lab at Columbia Univ.
Motion and Shape Computing Group at George Mason Univ.
Robust Image Understanding Lab at Rutgers Univ.
Intelligent Vision Systems Group at Univ. of Bonn
Institute for Computer Graphics and Vision at Graz Univ. of Tech.
Computer Vision Lab. at Vienna Univ. of Tech.
Computational Image Analysis and Radiology at Medical Univ. of Vienna
Personal Robotics Lab at CMU
Visual Perception Lab at Purdue Univ.
潜力牛人：
Juergen Gall at ETH Zurich
Matt Flagg at Georgia Tech.
Mathieu Salzmann at TTI-Chicago
Gerg Shakhnarovich at TTI-Chicago
Taeg Sang Cho at MIT
Jianchao Yang at UIUC
Stefan Roth at TU Darmstadt
Peter Kontschieder at Graz Univ. of Tech.
Dominik Alexander Klein at Univ. of Bonn
Yinan Yu at CASIA (PASCAL VOC 2010 Detection Challenge Winner)
Zdenek Kalal at FPFL
Julien Pilet at FPFL
Andrea Fusiello“计算机视觉中的几何”教程：Elements of Geometric Computer Vision
http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007
有关马尔可夫蒙特卡罗方法的资料：
An introduction to Markov chain Monte Carlo
http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/SENEGAS/mcmc.html
Markov Chain Monte Carlo for Computer Vision--- A tutorial at ICCV05
http://civs.stat.ucla.edu/MCMC/MCMC_tutorial.htm
有关独立成分分析（Independent Component Analysis , ICA）的资料：
An ICA-Page
http://www.cnl.salk.edu/~tony/ica.html
Fast ICA
http://www.cis.hut.fi/projects/ica/fastica/
The Kalman Filter (介绍卡尔曼滤波器的终极网页)
http://www.cs.unc.edu/~welch/kalman/index.html
Cached k-d tree search for ICP algorithms
http://kos.informatik.uni-osnabrueck.de/download/3dim2007/paper.html
几个计算机视觉研究工具
Machine Vision Toolbox for Matlab
http://www.petercorke.com/Machine%20Vision%20Toolbox.html
Matlab and Octave Function for Computer Vision and Image Processing
http://www.csse.uwa.edu.au/~pk/research/matlabfns/
Bayes Net Toolbox for Matlab
http://www.cs.ubc.ca/~murphyk/Software/BNT/bnt.html
OpenCV (Chinese)
http://www.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5
Gandalf (A Computer Vision and Numerical Algorithm Labrary)
http://gandalf-library.sourceforge.net/
CMU Computer Vision Home Page
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html
Machine Learning Resource Links
http://www.cse.ust.hk/~ivor/resource.htm
The Bayesian Filtering Library
Optical Flow Algorithm Evaluation (提供了一个动态贝叶斯网络框架，例如递归信息处理与分析、卡尔曼滤波、粒子滤波、序列蒙特卡罗方法等，C++写的)
http://of-eval.sourceforge.net/
MATLAB code for ICP algorithm
http://www.usenet.com/newsgroups/comp.graphics.visualization/msg00102.html
牛人主页：
朱松纯（Song-Chun Zhu）
http://www.stat.ucla.edu/~sczhu/
David Lowe (SIFT) (很帅的一个老头哦 ^ ^)
Andrea Vedaldi (SIFT)
http://vision.ucla.edu/~vedaldi/index.html
Pedro F. Felzenszwalb
http://people.cs.uchicago.edu/~pff/
Dougla Dlanman (Brown的一个研究生，在其主页上搜集了大量算法教程和源码)
http://mesh.brown.edu/dlanman/courses.html
Jianbo Shi (Ncuts 的始作俑者)
http://www.cis.upenn.edu/~jshi/
Active Vision Group (Oxford的一个机器视觉研究团队，特色是SLAM，监视，导航)
http://www.robots.ox.ac.uk/ActiveVision/index.html
Juyang Weng（机器学习的专家，Autonomous Mental Development 是其特色）
http://www.cse.msu.edu/~weng/ 测试图片或视频：
Middlebury College‘s Stereo Vision Data Set
http://cat.middlebury.edu/stereo/data.html
Intelligent Vehicle:
IVSource www.ivsoruce.net
Robot Car http://www.plyojump.com/robot_cars.html
How to Build a Robot: The Computer Vision Part http://www.societyofrobots.com/programming_computer_vision_tutorial.shtml
收集的一般牛人主页（带代码）:
Xiaofei He(machine learning code)
http://people.cs.uchicago.edu/~xiaofei/
YingNian Wu(active base model code)
http://www.stat.ucla.edu/~ywu/research.html
布朗大学计算机主页（可找到该校CS牛人博客）
http://www.cs.brown.edu/research/areas.html
Navneet Dalal(Histograms of Oriented Gradients for Human Detection )
http://www.navneetdalal.com/software
Paul Viola(Robust Real-time Object Detection)
http://research.microsoft.com/en-us/um/people/viola/
关于机器学习的一些资料
Active Learning
http://active-learning.net/，这里包括了关于Active Learning理论以及应用的一些文章，特别是那篇Survey。
Transfer Learning
http://www.cse.ust.hk/TL/，包括经典的论文以及附带有源码，很方便。
Gaussian Processes
http://www.gaussianprocess.org 包括相关的书籍（有 Carl Edward Rasmussen 的书），相关的程序以及分类的 paper 列表。这也是由 Carl 自己维护的，他应该是将 GP 引入 machine learning 最早的人之一了吧，Hinton 的学生。
Nonparametric Bayesian Methods
http://www.cs.berkeley.edu/~jordan/npb.html 这个一看就知道是 Jordan 维护的，主要包括 Dirichlet process 以及相关的其他随机过程在 machine learning 里面如何进行建模，如何进行 approximate inference。主要是文章列表。
Probabilistic Graphical Model
http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html 是 Kevin Murphy 所维护的关于 Bayesian belief networks 的介绍，含有最基本的概念、相关的文献和软件的链接。罕见的 UCB 出来的不是 Jordan 的学生（老板是 Stuart Russel）。
http://www.cs.berkeley.edu/~jordan/graphical.html 是 Jordan 系关于这个方面的论文汇编。
http://www.inference.phy.cam.ac.uk/hmw26/crf/ 是关于 Conditional Random Fields 方面论文和软件的收集，由 Hanna Wallach 维护。
Compressed Sensing
http://www-dsp.rice.edu/cs 这是 Rice 大学维护的论文分类列表、软件链接等。推荐 Emmanuel Candès 所写的tutorial，这人是 David Donoho 的学生。
Tensor
http://csmr.ca.sandia.gov/~tgkolda/pubs/index.html 关于 tensor 的一些偏数学的文章。
Deep Belief Network
http://www.cs.toronto.edu/~hinton/csc2515/deeprefs.html 是 Geoffrey Hinton 为研究生开设的 machine learning 课程的 DBN 的 reading list。
Kernel Methods
http://www.cs.berkeley.edu/~jordan/kernels.html 是 Jordan 维护的关于 kernel methods 的文章列表。
Markov Logic
http://ai.cs.washington.edu/pubs 是 UW AI 组的文章，里面关于 Markov logic 的比较多，因为 Pedro Domingos 就是这个组的。
Machine learning theory
http://hunch.net/这个网站主要是一些learning theory的东西比较多，想在machine learning 理论上有所建树的同志们可以去看看
Iasonas Kokkinos （搞统计模型视觉）http://vision.mas.ecp.fr/Personnel/iasonas/index.html
人工智能与模式识别国际顶级期刊会议目录（包含该领域最权威的期刊和会议）
[参考文献和资料来源]
1、http://blog.sciencenet.cn/blog-43092-22895.html
2、http://blog.csdn.net/carson2005/article/details/6601109
3、http://blog.sina.com.cn/s/blog_569d6df80100ww30.html
4、http://www.cnblogs.com/kshenf/archive/2012/02/07/2342034.html