积累的博客页面---备忘
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ICCV2013 http://www.cv-foundation.org/openaccess/ICCV2013.py
http://freemind.pluskid.org/
http://www.quora.com/Machine-Learning
http://blog.sciencenet.cn/blog-261330-705610.html
http://blog.csdn.net/zouxy09/article/details/8532111
http://www.cnblogs.com/tornadomeet/ deeplearning的博客
http://alex.smola.org/teaching/cmu2013-10-701x/index.html
http://www.byclb.com/TR/Tutorials/neural_networks/
http://blog.sina.com.cn/s/articlelist_2835262875_0_1.html
http://blog.sina.com.cn/s/articlelist_1243108147_0_1.html
http://blog.sina.com.cn/s/blog_6163bdeb0102edrj.html
oxford的reading grouphttp://www.robots.ox.ac.uk/~vgg/rg/
Breiman 和 Friedman 的文章
先关的开源工具:
PMTK3:http://code.google.com/p/pmtk3/.
MLAPP(Machine Learning: a Probabilistic Perspective)的随书代码,使用了很多开源库。
http://drwn.anu.edu.au/index.html
intro:This document describes the design and usage of the Darwin framework for machine learning and computer vision research and development. It includes an overview of the variouscomponents of the framework,installation instructions, andtutorial. The document assumes that you are familiar with either the Linux or Windows (Microsoft Visual Studio) C/C++ development environments and have a basic understanding of Machine Learning, e.g., as presented in a number of excellent texts:
- Richard O. Duda and Peter E. Hart and David G. Stork, "Pattern Classification", 2000.
- Christopher M. Bishop, "Pattern Recognition and Machine Learning", 2007.
- Trevor Hastie and Robert Tibshirani and Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction", 2009.
- Daphne Koller and Nir Friedman, "Probabilistic Graphical Models: Principles and Techniques", 2009.
- Kevin Murphy, "Machine Learning: A Probabilistic Approach", 2012.
The Darwin framework is designed to make it easy for researchers to share code that makes use of theDarwin libraries. The basic structure is shown in the figure below whereDarwin applications and projects link against the Darwin libraries, which in turn link against a small set of external (third-party) libraries. Individual projects may include full-blown machine learning applications or reference code to replicate results from scientific publications. Individual projects may also link against other external libraries. TheDarwin libraries are outlined in more detail below (seeDarwin Libraries).
http://eigen.tuxfamily.org/index.php?title=Main_Page
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
http://scikit-learn.org/stable/index.html 一个python的机器学习工具
(本文纯属转载)以下链接是本人整理的关于计算机视觉(ComputerVision, CV)相关领域的网站链接,其中有CV牛人的主页,CV研究小组的主页,CV领域的paper,代码,CV领域的最新动态,国内的应用情况等等。打算从事这个行业或者刚入门的朋友可以多关注这些网站,多了解一些CV的具体应用。搞研究的朋友也可以从中了解到很多牛人的研究动态、招生情况等。总之,我认为,知识只有分享才能产生更大的价值,真诚希望下面的链接能对朋友们有所帮助。
(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Douglas Lanman; 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-2.cs.cmu.edu/afs/cs/project/ ... ision.html
(17)微软CV研究员Richard Szeliski; 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/gro ... fault.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Kristen Grauman :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 Thomas Vetter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Chris Stauffer: 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
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