CVPR 2013 录用论文(目标跟踪部分)
http://blog.csdn.net/gxf1027/article/details/8650878
完整录用论文官方链接:http://www.pamitc.org/cvpr13/program.php
过段时间CvPaper上面应该会有正文链接
今年有关RGB-D摄像机应用和研究的论文渐多起来了。
当然,自己还是比较关心Tracking方面的Papers。从作者来看,一作大部分为华人,而且有不少在Tracking这个圈子里相当有名的牛,比如Ming-Hsuan Yang,Robert Collins等(中科院到阿大的Xi Li也是非常活跃,从他的论文可以看出深厚的数学功底,另外Chunhua Shen老师团队非常高产)。此外,从录用论文题目初步判断,Sparse coding(representation)的热度在减退,所以Haibin Ling老师并没有这方面的文章录用,且纯粹的tracking-by-detection几乎不见踪影了。
以下是摘录的tracking方面的录用论文:
Oral部分:
Structure Preserving Object Tracking. Lu Zhang,Laurens van der Maaten
Tracking Sports Players with Context-ConditionedMotion Models. Jingchen Liu, Peter Carr, Robert Collins, Yanxi Liu
Post部分:
Online Object Tracking: A Benchmark. Yi Wu, Jongwoo Lim,Ming-Hsuan Yang
Learning Compact Binary Codes for Visual Tracking. XiLi, Chunhua Shen, Anthony Dick, Anton van den Hengel
Part-based Visual Tracking with Online LatentStructural Learning. Rui Yao, Qinfeng Shi,Chunhua Shen, Yanning Zhang, Antonvan den Hengel
Self-paced learning forlong-term tracking.James Supancic III, Deva Ramanan(long-term的噱头还是很吸引人的,和当年TLD一样,看看是否是工程的思想多一些)
Visual Trackingvia Locality Sensitive Histograms.Shengfeng He, Qingxiong Yang, Rynson Lau, Jiang Wang,Ming-Hsuan Yang (CityU of HK,使用直方图作为表观在当前研究背景下真是反其道而行之啊)
Minimum Uncertainty Gap for Robust Visual Tracking. Junseok Kwon, Kyoung Mu Lee (VTD作者)
Least Soft-thresold Squares Tracking. Dong Wang, Huchuan Lu, Ming-Hsuan Yang
Tracking People and Their Objects. Tobias Baumgartner,Dennis Mitzel, Bastian Leibe(这个应该也有应用的背景和前景)
(以上不全包括多目标跟踪方面的论文)
其它关注的论文:
Alternating Decision Forests. Samuel Schulter, Paul Wohlhart,Christian Leistner, Amir Saffari,PeterM. Roth,Horst Bischof(Forest也是近些年的热点之一。此外,TU Graz视觉组在各种Top会议上很是active)
Semi-supervised Node Splitting for Random ForestConstruction. Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang,Chun Chen, Jiajun Bu (虽然Forest很热,但是纯粹关于Forest的研究还是不多,在这类会议上)
Optimizing 1-Nearest Prototype Classifiers. PaulWohlhart, Michael Donoser, Peter Roth,Horst Bischof (by TU Graz)
Single-Pedestrian Detection aided by Multi-pedestrianDetection. Wanli Ouyang, Xiaogang Wang
Measuring Crowd Collectiveness. Bolei Zhou,Xiaogang Wang (群体行为分析方面顶尖的组,一作小牛人)
Crossing the Line: Crowd Counting by IntegerProgramming with Local Features. Zheng Ma,Antoni Chan
Histograms of Sparse Codes for Object Detection.Xiaofeng Ren,Deva Ramanan
Multi-Source Multi-Scale Counting in Extremely DenseCrowd Images. Haroon Idrees, Imran Saleemi, Mubarak Shah
Human Pose Estimation from Still Images using Body PartsDependent Joint Regressors.Matthias Dantone,Juergen Gall, Luc Van Gool, Christian Leistner (Gall的Hough Forest令人印象比较深)
Efficient Detector Adaptation for Object Detection ina Video.Pramod Sharma, Ram Nevatia
Robust Multi-Resolution Pedestrian Detection in TrafficScenes. Junjie Yan, Xucong Zhang, Zhen Lei, Dong Yi, Shengcai Liao, Stan Li (Oral)
Fast multiple-part based object detection usingKD-Ferns. Dan Levi, Shai Silberstein, Aharon Bar-Hillel
Online Dominantand Anomalous Behavior Detection in Videos. Mehrsan Javan Roshtkhari, Martin Levine
计算机视觉、模式识别、机器学习常用牛人主页链接
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 VisionGroup at UC Berkeley
Robotics Research Group at Univ. of Oxford
LEAR at INRIA
Computer VisionLab 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 VisionLab at Univ. ofSouthern California
Computer VisionLab at Univ. ofCentral Florida
Computer VisionLab at ColumbiaUniv.
UCLA Vision Lab
Motion and Shape Computing Group at George Mason Univ.
Robust Image Understanding Lab at Rutgers Univ.
IntelligentVision Systems Group at Univ. of Bonn
Institute for Computer Graphics andVision at Graz Univ. of Tech.
Computer Vision Lab. at Vienna Univ. of Tech.
Computational Image Analysis andRadiology at Medical Univ. of Vienna
Personal RoboticsLab at CMU
VisualPerception Lab at Purdue Univ.
潜力牛人:
Juergen GallatETH Zurich
Matt Flagg at Georgia Tech.
Mathieu Salzmann at TTI-Chicago
GergShakhnarovich at TTI-Chicago
Taeg Sang Cho at MIT
Jianchao Yang at UIUC
Stefan Rothat TU Darmstadt
Peter Kontschieder at Graz Univ. of Tech.
DominikAlexander Klein at Univ. of Bonn
Yinan Yu at CASIA (PASCAL VOC 2010 DetectionChallenge Winner)
Zdenek Kalal at FPFL
Julien Pilet at FPFL
Kenji Okuma
(1)googleResearch;http://research.google.com/index.html
(2)MIT博士,汤晓欧学生林达华;http://people.csail.mit.edu/dhlin/index.html
(3)MIT博士后DouglasLanman;http://web.media.mit.edu/~dlanman/
(4)opencv中文网站;http://www.opencv.org.cn/index.php/首页
(5)Stanford大学vision实验室;http://vision.stanford.edu/research.html
(6)Stanford大学博士崔靖宇;http://www.stanford.edu/~jycui/
(7)UCLA教授朱松纯;http://www.stat.ucla.edu/~sczhu/
(8)中国人工智能网;http://www.chinaai.org/
(9)中国视觉网;http://www.china-vision.net/
(10)中科院自动化所;http://www.ia.cas.cn/
(11)中科院自动化所李子青研究员;http://www.cbsr.ia.ac.cn/users/szli/
(12)中科院计算所山世光研究员;http://www.jdl.ac.cn/user/sgshan/
(13)人脸识别主页;http://www.face-rec.org/
(14)加州大学伯克利分校CV小组;http://www.eecs.berkeley.edu/Research/Projects/CS/vision/
(15)南加州大学CV实验室;http://iris.usc.edu/USC-Computer-Vision.html
(16)卡内基梅隆大学CV主页;
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html
(17)微软CV研究员RichardSzeliski;http://research.microsoft.com/en-us/um/people/szeliski/
(18)微软亚洲研究院计算机视觉研究组;http://research.microsoft.com/en-us/groups/vc/
(19)微软剑桥研究院ML与CV研究组;http://research.microsoft.com/en-us/groups/mlp/default.aspx
(20)研学论坛;http://bbs.matwav.com/
(21)美国Rutgers大学助理教授刘青山;http://www.research.rutgers.edu/~qsliu/
(22)计算机视觉最新资讯网;http://www.cvchina.info/
(23)运动检测、阴影、跟踪的测试视频下载;http://apps.hi.baidu.com/share/detail/18903287
(24)香港中文大学助理教授王晓刚;http://www.ee.cuhk.edu.hk/~xgwang/
(25)香港中文大学多媒体实验室(汤晓鸥);http://mmlab.ie.cuhk.edu.hk/
(26)U.C. San Diego. computer vision;http://vision.ucsd.edu/content/home
(27)CVonline; http://homepages.inf.ed.ac.uk/rbf/CVonline/
(28)computer vision software;http://peipa.essex.ac.uk/info/software.html
(29)Computer Vision Resource; http://www.cvpapers.com/
(30)computer vision research groups;http://peipa.essex.ac.uk/info/groups.html
(31)computer vision center;http://computervisioncentral.com/cvcnews
(32)浙江大学图像技术研究与应用(ITRA)团队:http://www.dvzju.com/
(33)自动识别网:http://www.autoid-china.com.cn/
(34)清华大学章毓晋教授:http://www.tsinghua.edu.cn/publish/ee/4157/2010/20101217173552339241557/20101217173552339241557_.html
(35)顶级民用机器人研究小组Porf.Gary领导的Willow Garage:http://www.willowgarage.com/
(36)上海交通大学图像处理与模式识别研究所:http://www.pami.sjtu.edu.cn/
(37)上海交通大学计算机视觉实验室刘允才教授:http://www.visionlab.sjtu.edu.cn/
(38)德克萨斯州大学奥斯汀分校助理教授KristenGrauman :http://www.cs.utexas.edu/~grauman/
(39)清华大学电子工程系智能图文信息处理实验室(丁晓青教授):http://ocrserv.ee.tsinghua.edu.cn/auto/index.asp
(40)北京大学高文教授:http://www.jdl.ac.cn/htm-gaowen/
(41)清华大学艾海舟教授:http://media.cs.tsinghua.edu.cn/cn/aihz
(42)中科院生物识别与安全技术研究中心:http://www.cbsr.ia.ac.cn/china/index CH.asp
(43)瑞士巴塞尔大学 ThomasVetter教授:http://informatik.unibas.ch/personen/vetter_t.html
(44)俄勒冈州立大学 Rob Hess博士:http://blogs.oregonstate.edu/hess/
(45)深圳大学于仕祺副教授:http://yushiqi.cn/
(46)西安交通大学人工智能与机器人研究所:http://www.aiar.xjtu.edu.cn/
(47)卡内基梅隆大学研究员Robert T.Collins:http://www.cs.cmu.edu/~rcollins/home.html#Background
(48)MIT博士ChrisStauffer:http://people.csail.mit.edu/stauffer/Home/index.php
(49)美国密歇根州立大学生物识别研究组(Anil K.Jain教授):http://www.cse.msu.edu/rgroups/biometrics/
(50)美国伊利诺伊州立大学Thomas S.Huang:http://www.beckman.illinois.edu/directory/t-huang1
(51)武汉大学数字摄影测量与计算机视觉研究中心:http://www.whudpcv.cn/index.asp
(52)瑞士巴塞尔大学SamiRomdhani助理研究员:http://informatik.unibas.ch/personen/romdhani_sami/
(53)CMU大学研究员Yang Wang:http://www.cs.cmu.edu/~wangy/home.html
(54)英国曼彻斯特大学Tim Cootes教授:http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/
(55)美国罗彻斯特大学教授Jiebo Luo:http://www.cs.rochester.edu/u/jluo/
(56)美国普渡大学机器人视觉实验室:https://engineering.purdue.edu/RVL/Welcome.html
(57)美国宾利州立大学感知、运动与认识实验室:http://vision.cse.psu.edu/home/home.shtml
(58)美国宾夕法尼亚大学GRASP实验室:https://www.grasp.upenn.edu/
(59)美国内达华大学里诺校区CV实验室:http://www.cse.unr.edu/CVL/index.php
(60)美国密西根大学vision实验室:http://www.eecs.umich.edu/vision/index.html
(61)Universityof Massachusetts(麻省大学),视觉实验室:http://vis-www.cs.umass.edu/index.html
(62)华盛顿大学博士后IvaKemelmacher:http://www.cs.washington.edu/homes/kemelmi
(63)以色列魏茨曼科技大学Ronen Basri:http://www.wisdom.weizmann.ac.il/~ronen/index.html
(64)瑞士ETH-Zurich大学CV实验室:http://www.vision.ee.ethz.ch/boostingTrackers/index.htm
(65)微软CV研究员张正友:http://research.microsoft.com/en-us/um/people/zhang/
(66)中科院自动化所医学影像研究室:http://www.3dmed.net/
(67)中科院田捷研究员:http://www.3dmed.net/tian/
(68)微软Redmond研究院研究员Simon Baker:http://research.microsoft.com/en-us/people/sbaker/
(69)普林斯顿大学教授李凯:http://www.cs.princeton.edu/~li/
(70)普林斯顿大学博士贾登:http://www.cs.princeton.edu/~jiadeng/
(71)牛津大学教授AndrewZisserman:http://www.robots.ox.ac.uk/~az/
(72)英国leeds大学研究员MarkEveringham:http://www.comp.leeds.ac.uk/me/
(73)英国爱丁堡大学教授ChrisWilliam:http://homepages.inf.ed.ac.uk/ckiw/
(74)微软剑桥研究院研究员John Winn: http://johnwinn.org/
(75)佐治亚理工学院教授MonsonH.Hayes:http://savannah.gatech.edu/people/mhayes/index.html
(76)微软亚洲研究院研究员孙剑:http://research.microsoft.com/en-us/people/jiansun/
(77)微软亚洲研究院研究员马毅:http://research.microsoft.com/en-us/people/mayi/
(78)英国哥伦比亚大学教授David Lowe:http://www.cs.ubc.ca/~lowe/
(79)英国爱丁堡大学教授Bob Fisher:http://homepages.inf.ed.ac.uk/rbf/
(80)加州大学圣地亚哥分校教授SergeJ.Belongie:http://cseweb.ucsd.edu/~sjb/
(81)威斯康星大学教授CharlesR.Dyer:http://pages.cs.wisc.edu/~dyer/
(82)多伦多大学教授Allan.Jepson:http://www.cs.toronto.edu/~jepson/
(83)伦斯勒理工学院教授Qiang Ji: http://www.ecse.rpi.edu/~qji/
(84)CMU研究员DanielHuber: http://www.ri.cmu.edu/person.html?person_id=123
(85)多伦多大学教授:DavidJ.Fleet:http://www.cs.toronto.edu/~fleet/
(86)伦敦大学玛丽女王学院教授AndreaCavallaro:http://www.eecs.qmul.ac.uk/~andrea/
(87)多伦多大学教授KyrosKutulakos:http://www.cs.toronto.edu/~kyros/
(88)杜克大学教授CarloTomasi: http://www.cs.duke.edu/~tomasi/
(89)CMU教授MartialHebert: http://www.cs.cmu.edu/~hebert/
(90)MIT助理教授AntonioTorralba:http://web.mit.edu/torralba/www/
(91)马里兰大学研究员YaselYacoob:http://www.umiacs.umd.edu/users/yaser/
(92)康奈尔大学教授Ramin Zabih:http://www.cs.cornell.edu/~rdz/
(93)CMU博士田渊栋:http://www.cs.cmu.edu/~yuandong/
(94)CMU副教授Srinivasa Narasimhan:http://www.cs.cmu.edu/~srinivas/
(95)CMU大学ILIM实验室:http://www.cs.cmu.edu/~ILIM/
(96)哥伦比亚大学教授Sheer K.Nayar:http://www.cs.columbia.edu/~nayar/
(97)三菱电子研究院研究员Fatih Porikli :http://www.porikli.com/
(98)康奈尔大学教授Daniel Huttenlocher:http://www.cs.cornell.edu/~dph/
(99)南京大学教授周志华:http://cs.nju.edu.cn/zhouzh/index.htm
(100)芝加哥丰田技术研究所助理教授Devi Parikh:http://ttic.uchicago.edu/~dparikh/index.html
(101)瑞士联邦理工学院博士后Helmut Grabner:http://www.vision.ee.ethz.ch/~hegrabne/#Short_CV
(102)香港中文大学教授贾佳亚:http://www.cse.cuhk.edu.hk/~leojia/index.html
(103)南洋理工大学副教授吴建鑫:http://c2inet.sce.ntu.edu.sg/Jianxin/index.html
(104)GE研究院研究员李关:http://www.cs.unc.edu/~lguan/
(105)佐治亚理工学院教授Monson Hayes:http://savannah.gatech.edu/people/mhayes/
(106)图片检索国际会议VOC(微软剑桥研究院组织):http://pascallin.ecs.soton.ac.uk/challenges/VOC/
(107)机器视觉开源处理库汇总:http://archive.cnblogs.com/a/2217609/
(108)布朗大学教授Benjamin Kimia:http://www.lems.brown.edu/kimia.html
about multi-camera: http://server.cs.ucf.edu/~vision/projects.html
about 3D Voxel Coloring Rob Hess: http://blogs.oregonstate.edu/hess/code/voxels/
About the particle filters--condensationfilter:http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/ISARD1/condensation.html
Machine Learning Open Source Software:http://jmlr.csail.mit.edu/mloss/
1、动作识别数据库:Recognition of human actions:http://www.nada.kth.se/cvap/actions/
2、Datasets forComputer Vision Research:http://www-cvr.ai.uiuc.edu/ponce_grp/data/
3、Computer Vision Datasets:http://clickdamage.com/sourcecode/cv_datasets.php
4、里面有好多基本算法 matlab:http://www.mathworks.cn/index.html
5、CVPR 2011中关于grassmann 流形文章的源码:http://itee.uq.edu.au/~uqmhara1/code.html
· Matlab Codefor Graph Embedding Discriminant Analysis on GrassmannianManifolds for Improved Image Set Matching (CVPR),2011.
· Matlab Codefor Optimal Local Basis: A Reinforcement Learning Approachfor Face Recognition(IJCV), vol. 81, no. 2, pp. 191-204,2009.
牛人bolg:
1、Hong Kong Polytechnic University :http://www4.comp.polyu.edu.hk/~cslzhang/
2、Computer Vision Resources:资源非常丰富,包含有基本算法。https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.html
3、源代码非常丰富~~ http://homepage.tudelft.nl/19j49/Publications.html
CVonline
http://homepages.inf.ed.ac.uk/rbf/CVonline
http://homepages.inf.ed.ac.uk/rbf/CVonline/unfolded.htm
http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm
李子青的大作:
Markov RandomField Modeling in Computer Vision
http://www.cbsr.ia.ac.cn/users/szli/mrf_book/book.html
Handbook of FaceRecognition (PDF)
http://www.umiacs.umd.edu/~shaohua/papers/zhou04hfr.pdf
张正友的有关参数鲁棒估计著作:
ParameterEstimation Techniques:A Tutorial with Application to Conic Fitting
http://research.microsoft.com/~zhang/INRIA/Publis/Tutorial-Estim/Main.html
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 MonteCarlo
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-dtree 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 VisionToolbox for Matlab
http://www.petercorke.com/Machine Vision Toolbox.html
Matlab andOctave 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/首页
Gandalf (AComputer Vision and Numerical Algorithm Labrary)
http://gandalf-library.sourceforge.net/
CMU ComputerVision Home Page
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html
Machine LearningResource Links
http://www.cse.ust.hk/~ivor/resource.htm
The BayesianFiltering Library
http://www.orocos.org/bfl
Optical FlowAlgorithm 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 forICP 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 ^ ^)
http://www.cs.ubc.ca/~lowe/
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 VisionGroup (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 MentalDevelopment是其特色)
http://www.cse.msu.edu/~weng/
测试图片或视频:
Middlebury College‘s Stereo Vision DataSet
http://cat.middlebury.edu/stereo/data.html
IntelligentVehicle:
IVSource
www.ivsoruce.net
Robot Car
http://www.plyojump.com/robot_cars.html
How to Build aRobot: 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):
XiaofeiHe(machine learning code)
http://people.cs.uchicago.edu/~xiaofei/
YingNianWu(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 OrientedGradients for Human Detection )
http://www.navneetdalal.com/software
Paul Viola(Robust Real-timeObject Detection)
http://research.microsoft.com/en-us/um/people/viola/
Active LearningRMw平坦软件园
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 LearningRMw平坦软件园
http://www.cse.ust.hk/TL/,包括经典的论文以及附带有源码,很方便。
Gaussian ProcessesRMw平坦软件园
RMw平坦软件园
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 MethodsRMw平坦软件园
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 ModelRMw平坦软件园
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 SensingRMw平坦软件园
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。
TensorRMw平坦软件园
http://csmr.ca.sandia.gov/~tgkolda/pubs/index.html关于 tensor 的一些偏数学的文章。
Deep Belief NetworkRMw平坦软件园
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 MethodsRMw平坦软件园
http://www.cs.berkeley.edu/~jordan/kernels.html是 Jordan 维护的关于 kernel methods 的文章列表。
Markov LogicRMw平坦软件园
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 learningtheory
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
牛人:Iasonas Kokkinos (搞统计模型视觉)
http://vision.mas.ecp.fr/Personnel/iasonas/index.html