links about cv and ml
2012-01-12 17:23
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转载于:http://saintqdd.blogbus.com/logs/65806292.html
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很难想象如果没有了网络,我们怎么获取资料,怎样进行研究。现分享一下个人收集的一些网络资源,主要与Machine Learning和Computer Vision相关的。
http://web.mit.edu/torralba/www/
Antonio Torralba 场景分析/物体分类
http://lear.inrialpes.fr/pubs/index.php?idAuthor=119 C.
Schime的文献列表
http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/p/Pinz:Axel.html
A. Pinz 的文章列表,关于Object Recognition的比较多
http://research.microsoft.com/vision/cambridge/recognition/ 目标分类,有一些数据集可以下载
http://www.iro.umontreal.ca/~kegl/research/pcurves/ 主曲线
http://research.microsoft.com/~cmbishop/ Bishop个人主页,机器学习与计算机视觉
http://www.dcs.qmul.ac.uk/~jgzhang/ 张建国的个人主页
局部检测算子,计算 机视觉
http://cvcl.mit.edu/suns/suns08.html 场景理解讨论会
http://www.face-rec.org/source-codes/ 人脸识别的重要网站
http://vision.ucla.edu/~vedaldi/code/bag/bag.html bag-of-feature图像特征表示,公布了程序
http://www.robots.ox.ac.uk/~vgg/research/affine/index.html SIFT特征
http://web.mit.edu/bcs/sinha/papers/19results_sinha_etal.pdf 人脸识别的感知结论
http://people.csail.mit.edu/torralba/tinyimages/ 80million
tiny images
http://people.csail.mit.edu/trevor/
http://videolectures.net/ 机器学习的视频讲座
http://nips.cc/Conferences/2007/Program/schedule.php?Session=Tutorials nips07的tutorials,还有视频
http://videolectures.net/mlss07_tuebingen/
9th Machine Learning Summer School 视频
http://www.nature.com/neuro/journal/v2/n1/full/nn0199_9.html
Predicting the visual world: silence is golden
http://cs.nyu.edu/~fergus/ Recognizing
and Learning Object Categories
http://cmp.felk.cvut.cz/~matas/
MSER
http://www.vision.caltech.edu/Image_Datasets/Caltech101/#Description Caltech101数据库
http://www.peekaboom.org/
http://www.sciencedirect.com/science/journal/13646613 Trends
in Cognitive Sciences
http://www.wisdom.weizmann.ac.il/~vision/courses.html CV课程学习
http://www.sciencenet.cn/blog/user_content.aspx?id=16034#t1 CV教程
http://www.lems.brown.edu/vision/courses/ CV和ML课程,非常好
http://statistics.learning.googlepages.com/ 统计和学习的网站链
接
http://kobus.ca/index.html 对象识别和图像理
解,借鉴机器翻译的方法
http://cvcl.mit.edu/ Computational
Visual Cognition Laboratory
http://www.cs.utexas.edu/~grauman/ 目标分类和机器学
习,推荐!
http://gmazars.info/conf/cvpr2008.html CVPR08文章列表
http://www.ee.oulu.fi/mvg/page/lbp_methodology LBP
http://cgm.cs.mcgill.ca/~godfried/teaching/cg-projects/98/normand/main.html hausdorff距离
http://wang.ist.psu.edu/docs/projects.shtml 图像检索
http://www.loni.ucla.edu/~ztu/index.html 图像分割、检
测、识别 MCMC,03获马尔奖!
http://asc.2dark.org/node/18 MCMC
http://www.52mc.net/forum/index.php MCMC
Forum
http://www.robots.ox.ac.uk/~timork/ Kadir&Brady
Saliency Detector
http://www.kyb.mpg.de/~pgehler ML
+ CV,有pLSI的实现code
http://www.cs.ubc.ca/~murphyk/Software/BNT/bnt.html Bayes
Net Toolbox for matlab
http://www.cse.ust.hk/~sinnopan/ 香港科技大学
博士生的个人主页, 总结了机器学习方面的一些资料。
http://www.ics.uci.edu/~welling/teaching/LearningGraphicalModelsICS280/GraphicalModels.html
Learning in Graphical Models – spring 2006
http://www.iipl.fudan.edu.cn/~zhangjp/ 统计学习理论课程
http://www.robots.ox.ac.uk/~vgg/research/affine/index.html 各种角点检测算子的
代码
http://crfpp.sourceforge.net/ CRF
CODE
http://sourceforge.net/projects/hcrf/ CRF
CODE
http://www.robots.ox.ac.uk/~vgg/research/ 非常好的一个group,有做分类的,分割的等等。
http://www.lems.brown.edu/vision/courses/image-processing/projects.html image
understanding 列出了很多经典的文献
http://www.lems.brown.edu/vision/courses/image-processing/calendar.html cv课程
http://www.di.ens.fr/~russell/ LabelMe作者的主页,其博士论文不错!
http://cbcl.mit.edu/courses/index.html CBCL
的course,里面有统计机器学习的理论及其应用
http://www.cs.cornell.edu/~rdz/graphcuts.html
Graph Cuts Home Page
http://semantic-robot-vision-challenge.org/ semantic
robot vision challenge
http://jiali.vision.googlepages.com/home.html UIUC,Li-Jia
Homepage, Improving Image Retrieval Results and Image Understanding
http://www.cs.toronto.edu/~hinton/ Hinton
的homepage
http://www.youtube.com/watch?v=UzxYlbK2c7E Machine
Learning (Stanford) Androw Ng.!!!Great video lecture!
http://www.stanford.edu/class/cs229/materials.html
Machine Learning (Stanford) Androw Ng.!!! Course Information
http://www.cs.cmu.edu/~epxing/teaching.html
CMU Probabilistic Graphical Model
http://www.cs.cmu.edu/~guestrin/Class/10708-F08/index.html
CMU Probabilistic Graphical Model
http://people.csail.mit.edu/jjl/libpmk/
C++ implementation of Grauman and Darrell's Pyramid
Match algorithm.
http://www.computational-aesthetics.org/2008/ Computational
Aesthetics in Graphics, Visualization and Imaging
http://www.cise.ufl.edu/~fishwick/aescomputing/ 审
美计算
http://www.csse.monash.edu.au/~jonmc/resources/AestheticComputing/bibliography.html#about aesthetic
computing reading list
http://www.cvc.uab.es/aerfaiss08/index.html Pattern
recognition for Motion Analysis 2008
http://cvrc.ece.utexas.edu/aggarwaljk/ Professor
J.K. Aggarwal homepage
https://www.ipam.ucla.edu/schedule.aspx?pc=gss2007 Graduate
Summer School: Probabilistic Models of Cognition: The mathematics of mind
http://videolectures.net/icml07_tenenbaum_bmhi/ Bayesian
models of human inductive learning
http://www.gavrila.net/index.html Homepage
of Dariu Gavrila, Expert on pedestrain detection
http://www.mit.edu/~jmutch/ D.
Lowe的博士生,从认识神经的角度研究Object Recognition
http://www.cns.nyu.edu/~david/courses/perceptionGrad/syllabus2008.html Perception
and Attention 2008, course syllabus
http://www.ee.technion.ac.il/~lihi/Teaching/2008_summer_048921/index.htm Analysis
and recognition of video data. object recognition, detectiong people, action recognition
论文撰写与会议 2010-06-12
Journals
and conferences 2010-06-12
计算机视觉的三大会议 2010-06-12
source:
很难想象如果没有了网络,我们怎么获取资料,怎样进行研究。现分享一下个人收集的一些网络资源,主要与Machine Learning和Computer Vision相关的。
http://web.mit.edu/torralba/www/
Antonio Torralba 场景分析/物体分类
http://lear.inrialpes.fr/pubs/index.php?idAuthor=119 C.
Schime的文献列表
http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/p/Pinz:Axel.html
A. Pinz 的文章列表,关于Object Recognition的比较多
http://research.microsoft.com/vision/cambridge/recognition/ 目标分类,有一些数据集可以下载
http://www.iro.umontreal.ca/~kegl/research/pcurves/ 主曲线
http://research.microsoft.com/~cmbishop/ Bishop个人主页,机器学习与计算机视觉
http://www.dcs.qmul.ac.uk/~jgzhang/ 张建国的个人主页
局部检测算子,计算 机视觉
http://cvcl.mit.edu/suns/suns08.html 场景理解讨论会
http://www.face-rec.org/source-codes/ 人脸识别的重要网站
http://vision.ucla.edu/~vedaldi/code/bag/bag.html bag-of-feature图像特征表示,公布了程序
http://www.robots.ox.ac.uk/~vgg/research/affine/index.html SIFT特征
http://web.mit.edu/bcs/sinha/papers/19results_sinha_etal.pdf 人脸识别的感知结论
http://people.csail.mit.edu/torralba/tinyimages/ 80million
tiny images
http://people.csail.mit.edu/trevor/
http://videolectures.net/ 机器学习的视频讲座
http://nips.cc/Conferences/2007/Program/schedule.php?Session=Tutorials nips07的tutorials,还有视频
http://videolectures.net/mlss07_tuebingen/
9th Machine Learning Summer School 视频
http://www.nature.com/neuro/journal/v2/n1/full/nn0199_9.html
Predicting the visual world: silence is golden
http://cs.nyu.edu/~fergus/ Recognizing
and Learning Object Categories
http://cmp.felk.cvut.cz/~matas/
MSER
http://www.vision.caltech.edu/Image_Datasets/Caltech101/#Description Caltech101数据库
http://www.peekaboom.org/
http://www.sciencedirect.com/science/journal/13646613 Trends
in Cognitive Sciences
http://www.wisdom.weizmann.ac.il/~vision/courses.html CV课程学习
http://www.sciencenet.cn/blog/user_content.aspx?id=16034#t1 CV教程
http://www.lems.brown.edu/vision/courses/ CV和ML课程,非常好
http://statistics.learning.googlepages.com/ 统计和学习的网站链
接
http://kobus.ca/index.html 对象识别和图像理
解,借鉴机器翻译的方法
http://cvcl.mit.edu/ Computational
Visual Cognition Laboratory
http://www.cs.utexas.edu/~grauman/ 目标分类和机器学
习,推荐!
http://gmazars.info/conf/cvpr2008.html CVPR08文章列表
http://www.ee.oulu.fi/mvg/page/lbp_methodology LBP
http://cgm.cs.mcgill.ca/~godfried/teaching/cg-projects/98/normand/main.html hausdorff距离
http://wang.ist.psu.edu/docs/projects.shtml 图像检索
http://www.loni.ucla.edu/~ztu/index.html 图像分割、检
测、识别 MCMC,03获马尔奖!
http://asc.2dark.org/node/18 MCMC
http://www.52mc.net/forum/index.php MCMC
Forum
http://www.robots.ox.ac.uk/~timork/ Kadir&Brady
Saliency Detector
http://www.kyb.mpg.de/~pgehler ML
+ CV,有pLSI的实现code
http://www.cs.ubc.ca/~murphyk/Software/BNT/bnt.html Bayes
Net Toolbox for matlab
http://www.cse.ust.hk/~sinnopan/ 香港科技大学
博士生的个人主页, 总结了机器学习方面的一些资料。
http://www.ics.uci.edu/~welling/teaching/LearningGraphicalModelsICS280/GraphicalModels.html
Learning in Graphical Models – spring 2006
http://www.iipl.fudan.edu.cn/~zhangjp/ 统计学习理论课程
http://www.robots.ox.ac.uk/~vgg/research/affine/index.html 各种角点检测算子的
代码
http://crfpp.sourceforge.net/ CRF
CODE
http://sourceforge.net/projects/hcrf/ CRF
CODE
http://www.robots.ox.ac.uk/~vgg/research/ 非常好的一个group,有做分类的,分割的等等。
http://www.lems.brown.edu/vision/courses/image-processing/projects.html image
understanding 列出了很多经典的文献
http://www.lems.brown.edu/vision/courses/image-processing/calendar.html cv课程
http://www.di.ens.fr/~russell/ LabelMe作者的主页,其博士论文不错!
http://cbcl.mit.edu/courses/index.html CBCL
的course,里面有统计机器学习的理论及其应用
http://www.cs.cornell.edu/~rdz/graphcuts.html
Graph Cuts Home Page
http://semantic-robot-vision-challenge.org/ semantic
robot vision challenge
http://jiali.vision.googlepages.com/home.html UIUC,Li-Jia
Homepage, Improving Image Retrieval Results and Image Understanding
http://www.cs.toronto.edu/~hinton/ Hinton
的homepage
http://www.youtube.com/watch?v=UzxYlbK2c7E Machine
Learning (Stanford) Androw Ng.!!!Great video lecture!
http://www.stanford.edu/class/cs229/materials.html
Machine Learning (Stanford) Androw Ng.!!! Course Information
http://www.cs.cmu.edu/~epxing/teaching.html
CMU Probabilistic Graphical Model
http://www.cs.cmu.edu/~guestrin/Class/10708-F08/index.html
CMU Probabilistic Graphical Model
http://people.csail.mit.edu/jjl/libpmk/
C++ implementation of Grauman and Darrell's Pyramid
Match algorithm.
http://www.computational-aesthetics.org/2008/ Computational
Aesthetics in Graphics, Visualization and Imaging
http://www.cise.ufl.edu/~fishwick/aescomputing/ 审
美计算
http://www.csse.monash.edu.au/~jonmc/resources/AestheticComputing/bibliography.html#about aesthetic
computing reading list
http://www.cvc.uab.es/aerfaiss08/index.html Pattern
recognition for Motion Analysis 2008
http://cvrc.ece.utexas.edu/aggarwaljk/ Professor
J.K. Aggarwal homepage
https://www.ipam.ucla.edu/schedule.aspx?pc=gss2007 Graduate
Summer School: Probabilistic Models of Cognition: The mathematics of mind
http://videolectures.net/icml07_tenenbaum_bmhi/ Bayesian
models of human inductive learning
http://www.gavrila.net/index.html Homepage
of Dariu Gavrila, Expert on pedestrain detection
http://www.mit.edu/~jmutch/ D.
Lowe的博士生,从认识神经的角度研究Object Recognition
http://www.cns.nyu.edu/~david/courses/perceptionGrad/syllabus2008.html Perception
and Attention 2008, course syllabus
http://www.ee.technion.ac.il/~lihi/Teaching/2008_summer_048921/index.htm Analysis
and recognition of video data. object recognition, detectiong people, action recognition
历史上的今天:
论文撰写与会议 2010-06-12Journals
and conferences 2010-06-12
计算机视觉的三大会议 2010-06-12
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