PDF-Efcient Marginal Likelihood Optimization in Blind Deconv olution Anat Levin Yair Weiss

Freeman Weizmann Institute of Science Hebrew University MIT CSAIL Abstract In blind deconvolution one aims to estimate from an in put blurred image a sharp image and an unknown blur kernel Recent research shows that a key to success is to consider. hujiacil Abstract Interactive digital matting the process of extracting a foreground object from an image based on limited user in put is an important task in image and video editing From a computer vision perspective this task is extremely chal leng A.Davis,F.Durand,M.Levoy/UnstructuredLightFields Figure5:Piecewise-linearandviewpoint-subdivisionrenderingforanewviewpointV.(a)Thecolorataraycanbelinearlyreconstructedbybarycentricinterpolationofthree Lecture XX. Reminder from Information Theory. Mutual Information: . . Conditional Mutual Information: . . Entropy: Conditional Mutual Information: . . Scoring Maximum Likelihood Function. When scoring function is the Maximum Likelihood, the model would make the data as probable as possible by choosing the graph structure that would produce the highest score for the MLE estimate of the parameter, we define:. See Davison Ch. 4 for background and a more thorough discussion.. Sometimes. See last slide for copyright information. Maximum Likelihood. Sometimes. Close your eyes and differentiate?. Simulate Some Data: True α=2, β=3. Published courtesy of the CEM . FOAMed. Network. http://. www.cemfoamed.co.uk. /portfolio/diagnostics-in-. em. /. Everything we do in a patient assessment is a test. Including questions we ask. Test thresholds. Sensor. . Mining. Applications:. . Ubiquitous. . Possibilities. . A tutorial. Slides . available . from: http. ://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss. Fordham University. Sensor Mining. Gary M. Weiss. Comp & Info Science Dept. Fordham University. gweiss@cis.fordham.edu. www.cis.fordham.edu/wisdm or wisdmproject.com. What is Smart Phone Sensor Mining?. Data Mining:. A tutorial. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. These slides available from http://storm.cis.fordham.edu/~gweiss/presentations.html. What is a Smart Phone?. What is a smart phone and what does it do? What devices can it replace? . out of your comfort zone. Non-OR Anesthesia . - . Stepping outside of the OR -. Copyright © 2015 Mark S Weiss. All . R. ights Reserved. What is NORA?. Non-operating room (OR) anesthesia, or “NORA,” involves sedation and monitoring for procedures performed outside of the traditional operating room. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. Background and Motivation. Smart phones are ubiquitous. As of 4. th. quarter 2010 outpaced PC sales. We carry them everywhere at almost all times. Applications:. . Ubiquitous. . Possibilities. . A tutorial. Slides . available . from: http. ://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. Copyright © 2015 Mark S Weiss. All . R. ights Reserved. The role of anesthesia in the EP lab. EP labs were originally developed for diagnostic procedures. EP lab are now used primarily for therapeutic procedures – treatment of . Hélène Mainaud Durand. Mini-revue des activités HL-LHC, 29/06/2017.. As a . summary. What has already started:. Fiducialisation & metrological controls, laser tracker order. Preparation of standard alignments for LS2. Lou Ann Blake. Director of Research Programs. lblake@nfb.org. . Jeff Kaloc. Government Affairs Specialist. jkaloc@nfb.org. Background. First survey following 2008 general election. We also conducted surveys following the 2012, 2014, 2016, 2018, and 2020 general elections.