tag:blogger.com,1999:blog-14624950592208999892011-06-07T23:12:52.327-07:00Samhttp://www.blogger.com/profile/15208897881972447945noreply@blogger.comBlogger21100tag:blogger.com,1999:blog-1462495059220899989.post-71386389192335663932007-10-30T09:30:00.000-07:002008-03-06T19:20:04.275-08:00<ul><li>Compressed sensing <ul><li><a href="http://www.dsp.ece.rice.edu/cs/">Rice compressed sensing resources</a></li><li><a href="http://nuit-blanche.blogspot.com/2007/08/compressed-sensing-videos-where-is-my.html">Compressed sensing video</a></li><li><a href="http://www.math.ucla.edu/~tao/preprints/sparse.html">Terence Tao's page</a></li><li><a href="http://www.math.ucdavis.edu/~dneedell/Quals.pdf">Deanna Needell's "introduction"</a></li><li><a href="http://www.math.niu.edu/~krishtal/papers/IMAproject.pdf">CS open problem</a> </li></ul></li><li>Network coding </li><ul><li><a href="http://www.ifp.uiuc.edu/~koetter/NWC/index.html">Network coding homepage (by Koetter)</a></li><li><a href="http://www.calit2.net/newsroom/article.php?id=916">Network coding video short course (by Koetter and Medard)</a></li><li><a href="http://www.cse.buffalo.edu/~hungngo/classes/2007/Network%20Coding/schedule.html">Network coding course by Hung Ngo</a></li></ul><li>Optimization</li><ul><li><a href="http://www.stanford.edu/class/ee364a/index.html">Boyd's convex optimization course</a></li><li><a href="http://www.csd.uoc.gr/~komod/ICCV07_tutorial/index.html">Discrete optimization in computer vision</a></li></ul><li>Graphical inference </li><ul><li><a href="http://www.gatsby.ucl.ac.uk/~iam23/03jc/graphical.html">Inference Techniques in Graphical Models</a></li><li><a href="http://research.microsoft.com/~minka/papers/ep/roadmap.html">A roadmap to research on EP</a></li></ul><li>MCMC </li><ul><li><a href="http://www-sigproc.eng.cam.ac.uk/smc/">Sequential Monte Carlo Methods</a></li><li><a href="http://www.ibiblio.org/e-notes/Perc/contents.htm">Phase transitions on lattices</a></li><li><a href="http://www.autonlab.org/tutorials/">Statistical Data Mining Tutorials</a></li></ul><li>Reading Group </li><ul><li><a href="http://www.cs.cmu.edu/~misc-read/#next">CMU reading group</a></li><li><a href="http://web.mit.edu/dolecek/www/coding.html">MIT coding theory reading group</a></li><li><a href="http://www.wisdom.weizmann.ac.il/~boiman/reading/">Computer Vision Reading Group</a></li><li><a href="http://www.cs.cmu.edu/~zhuxj/courseproject/graphical.html">Graphical Models Reading Group</a></li></ul><li>Misc</li><ul><li><a href="http://freescienceonline.blogspot.com/2006/06/free-mathematics-video-courses.html">Free Mathematics Video Courses</a></li><li><a href="http://freescienceonline.blogspot.com/2006/06/engineering-video-lectures.html">Engineering Video Lectures</a></li><li><a href="http://www.openmicroscopy.org/">Open microscopy environment</a></li><li><a href="http://www.cs.huji.ac.il/labs/danss/p2p/resources.html">Content Distribution Resources</a></li><li><a href="http://www.img.lx.it.pt/pcs2007/presentations.htm">Packet video 2007 presentations</a></li><li><a href="http://videolectures.net/">Videolectures.net</a></li></ul></ul><div class="blogger-post-footer"><img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1462495059220899989-7138638919233566393?l=sam-paper-study.blogspot.com' alt='' /></div>Samhttp://www.blogger.com/profile/15208897881972447945noreply@blogger.com1tag:blogger.com,1999:blog-1462495059220899989.post-68008980244667688052007-10-10T10:50:00.000-07:002007-12-21T23:12:13.952-08:00<table width="700" border="1"><tbody><tr><td>Date</td><td>Topic</td><td>Lead</td></tr><tr><td>10/12/2007</td><td>Compressive sensing (<a href="http://www.dsp.ece.rice.edu/cs/">link</a>, <a href="http://www.dsp.ece.rice.edu/cs/compressiveSensing-IEEE-SPMag-LectureNotes-15web.pdf">tutorial</a>) </td><td>Sam</td></tr><tr><td>10/19/2007</td><td>Graph cut (<a href="http://www.csd.uwo.ca/~yuri/Abstracts/eccv06-tutorial.html">tutorial</a>)</td><td><p>Shuang</p></td></tr><tr><td>10/26/2007</td><td>Epipolar geomoetry (<a href="http://www-cse.ucsd.edu/classes/sp04/cse252b/">UCSD course</a>, <a href="http://www.cs.unc.edu/~marc/mvg/slides.html">Pollefeys course</a>)</td><td>Dianchao</td></tr><tr><td>11/2/2007</td><td>CUDA (basic architecture) </td><td>Zhenfei</td></tr><tr><td>11/9/2007<br /></td><td>-</td><td>-</td></tr><tr><td>11/16/2007</td><td>Genetic algorithm </td><td>Shuang</td></tr><tr><td>11/23/2007</td><td>-</td><td>-</td></tr><tr><td>11/30/2007</td><td>Real-Time Camera Tracking Using a Particle Filter (<a href="http://www.bmva.ac.uk/bmvc/2005/papers/43/paper043.pdf">paper</a>) </td><td>Dianchao</td></tr><tr><td>12/7/2007</td><td>-</td><td>-</td></tr><tr><td>12/14/2007</td><td>Reversible watermarking</td><td>Shuang</td></tr><tr><td>12/21/2007</td><td></td><td>Zhenfei</td></tr><tr><td>12/28/2007</td><td>Network Information Theory (Ch 15 of Cover and Thomas)</td><td>Sam</td></tr><tr><td>-</td><td>Depth Information by Stage Classification (<a href="http://staff.science.uva.nl/~smeulder/pubs/ICCV2007Nedovic.pdf">paper</a>, <a href="http://staff.science.uva.nl/~vnedovic/ICCV2007/ICVSS_poster.pdf">slide</a>) </td><td>Dianchao</td></tr><tr><td>-</td><td>Markov random field (<a href="http://www.ecn.purdue.edu/VISE/ee641/mrf_tutorial/view.pdf">tutorial from purdue</a>, <a href="http://www.lx.it.pt/~mtf/FigueiredoCVPR.pdf">Figueriedo's slide</a>)</td><td>-</td></tr><tr><td>-</td><td>Compressed sensing reconstruction using belief propagation (<a href="http://www.dsp.ece.rice.edu/cs/csbpTR07142006.pdf">paper</a>) </td><td>-</td></tr></tbody></table><div class="blogger-post-footer"><img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1462495059220899989-6800898024466768805?l=sam-paper-study.blogspot.com' alt='' /></div>Samhttp://www.blogger.com/profile/15208897881972447945noreply@blogger.com0