转自http://blog.csdn.net/alec1987/archive/2011/05/10/6408604.aspx
自己收藏用。
Sparse, L1-minimization, Compressive Sensing
Sparse大家并不陌生，是个经典话题了。而此时sparse已经卷土重来，虽然还是那一锅汤，但是药已经换了。
以L1-minimization为核心的算法，近几年飞速进展，Compressive Sensing (Compressive Sampling) 已然成为数学领域和信号处理最前沿最热门的方向。
http://www-stat.stanford.edu/~donoho/Reports/2004/CompressedSensing091604.pdf
最近一年多这种新形式的算法快速蔓延到模式识别界应用，论文质量高、算法效果好、而且算法一般都非常简单。
而这仅仅是个开始，所以我一直有这个想法专开一贴，供大家一起讨论、共同进步，今天付诸与行动，希望大家支持。
在这个地方（第一个帖），我会陆续更新提供一些这方面的材料，供大家了解。如果大家提供了有趣的材料，我也尽量加进来。当然，此贴重点还是放在理论应用和模式识别上。
Compressive Sensing资源主页：
Compressive Sensing Resources （最权威最全面的Compressive Sensing资源主页，几乎什么都能找的到）；
http://www.dsp.ece.rice.edu/cs/
Compressive Sensing （和上面的差不多）；
http://www.computing.edu.au/~dsp/cs/index.php
Compressive Sensing Listing；
http://igorcarron.googlepages.com/cslisting
马毅的课程主页
http://decision.csl.uiuc.edu/~yima/ECE598-08.html
Compressive Sensing Videos；
http://igorcarron.googlepages.com/csvideos
Compressed Sensing Codes
http://igorcarron.googlepages.com/cscodes
（还有Compressive Sensing Resources 的Software一栏中）；
http://www.dsp.ece.rice.edu/cs/
Nuit Blanche；
http://nuit-blanche.blogspot.com/search/label/compressed%20sensing
Compressive Sensing: The Big Picture；
http://igorcarron.googlepages.com/cs
Terence Tao's What's new;
http://www.math.ucla.edu/~tao/
http://terrytao.wordpress.com/
理论方面的代表人物：
David Donoho;
http://www-stat.stanford.edu/~donoho/
Emmanuel Candes;
http://www.acm.caltech.edu/~emmanuel/
Tutorials
Emmanuel Candès, Compressive sampling. (Int. Congress of Mathematics, 3, pp. 1433-1452, Madrid, Spain, 2006)
http://www.acm.caltech.edu/~emmanuel/papers/CompressiveSampling.pdf
Richard Baraniuk, Compressive sensing. (IEEE Signal Processing Magazine, 24(4), pp. 118-121, July 2007)
http://www.dsp.ece.rice.edu/cs/baraniukCSlecture07.pdf
Emmanuel Candès and Michael Wakin, An introduction to compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 21 - 30, March 2008)
http://www.dsp.ece.rice.edu/cs/CSintro.pdf
Justin Romberg, Imaging via compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 14 - 20, March 2008)
Conferences and Symposiums
http://www.dsp.ece.rice.edu/cs/Imaging-via-CS.pdf
Short Course: Sparse Representations and High Dimensional Geometry, May 30 - June 1, 2007
http://www.ams.org/meetings/vonneumann07.html
New Directions Short Course: Compressive Sampling and Frontiers in Signal Processing, June 4 - 15, 2007 （介绍性的资料和视频）
http://www.ima.umn.edu/2006-2007/ND6.4-15.07/
理论方面的代表文献：
Donoho 和 Candes 的文章几乎都是经典
模式识别领域的应用（包括机器视觉）：
大家可以去Compressive Sensing Resources 看 Statistical Signal Processing, Machine Learning, Bayesian Methods, Applications of Compressive Sensing 等栏目
http://www.dsp.ece.rice.edu/cs/
马毅的一系列论文
http://decision.csl.uiuc.edu/~yima/Publication.html
John Wright, Allen Yang, Arvind Ganesh, Shankar Shastry, and Yi Ma, Robust face recognition via sparse representation. (To appear in IEEE Trans. on Pattern Analysis and Machine Intelligence) , 2008
http://perception.csl.uiuc.edu/recognition/Files/PAMI-Face.pdf
Allen Yang, John Wright, Yi Ma, and Shankar Sastry, Feature selection in face recognition: A sparse representation perspective. (Preprint, 2007)
http://perception.csl.uiuc.edu/recognition/Files/PAMI_Feature.pdf
Kwak, N., Principal Component Analysis Based on L1-Norm Maximization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4522554&isnumber=4567786
Bhusnurmath, Arvind; Taylor, Camillo J., Graph Cuts via $ell_1$ Norm Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4483514&isnumber=4601506
Jianchao Yang, John Wright, Thomas Huang, and Yi Ma, Image Super-Resolution as Sparse Representation of Raw Image Patches, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.
http://perception.csl.uiuc.edu/recognition/Files/CVPR2008_superres.pdf
Arvind Ganesh, Zihan Zhou, and Yi Ma, Separation of A Subspace-Sparse Signal: Algorithms and Conditions, ICASSP 2009.
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