PPT-Shape Matching: A Game-Theoretic Perspective

Emanuele Rodolà rodolaisiimiiutokyoacjp Born Engineering in Rome Born Engineering in Rome Born Engineering in Rome Computer Vision in Venice Research in Tel Aviv Israel Research in Tel Aviv Israel. We present two algorithms for rapid shape retrieval representative shape contexts performing comparisons based on a small number of shape contexts and shapemes using vector quantization in the space of shape contexts to obtain prototypical shape p Individual Matching Controls are matched to cases on one or more attributes (i.e. age, gender, smoking status, etc). Each case/control pair then has identical values on the matching factors. Requi Equilibria. : How…. …and What’s the Point?. Yevgeniy Vorobeychik. Sandia National Laboratories. Who am I?. Ph.D. CS, University of Michigan, advised by Michael Wellman. approximating/estimating . . Natarajan. Introduction to Probabilistic Logical Models. Slides based on tutorials by . Kristian. . Kersting. , James . Cussens. , . Lise. . Getoor. . & Pedro . Domingos. Take-Away Message . A Practical Demonstration Looking at Results from the Promise Pathways Initiative at Long Beach City College. Andrew Fuenmayor, Research Analyst. John Hetts, . Director of Institutional Research. Long Beach City College . for D2D Communication. 1. Lingyang. Song. *. and Zhu Han. +. . * . School of Electronics Engineering and Computer Science,. Peking University, Beijing, China. + . Department of Electrical and Computer Engineering. from Fourier to Wavelets. Ming . Zhong. 2012.9. Overview (1). Harmonic analysis basics. Represent signals as the linear combination of basic overlapping, wave-like functions. Natural domain (space/time). ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. Keynote. at SIGIR 2015. Module . 9. Experimental . psychology . guided-inquiry learning. Module 9: Matching/Matched Pairs Design. ©2012, . Dr. A. Geliebter & Dr. B. Rumain, Touro College & University System. Let’s now get back to our depression study. Suppose we have 3 treatment groups with each group receiving a different dose of Elate. Let’s say the doses are 750mg, 1200mg, and 0 mg. And, suppose also we know that our subjects are not roughly equal in their level of depression; some are more severely depressed while others are only mildly or moderately depressed. . Number Theoretic Transform and Its Inverse. . Note. ：. (. 1) . M. is a . prime number. , (mod . M. ): . 是指除以 . M. . 的餘數. (2) . N. is a factor of . M. −1. . (Note: when . ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. Module . 9. Experimental . psychology . guided-inquiry learning. Module 9: Matching/Matched Pairs Design. ©2012, . Dr. A. Geliebter & Dr. B. Rumain, Touro College & University System. Let’s now get back to our depression study. Suppose we have 3 treatment groups with each group receiving a different dose of Elate. Let’s say the doses are 750mg, 1200mg, and 0 mg. And, suppose also we know that our subjects are not roughly equal in their level of depression; some are more severely depressed while others are only mildly or moderately depressed. . Vincent Conitzer. Duke University. overview article:. V. Conitzer. Computing Game-Theoretic Solutions and Applications to Security. . Proc. AAAI’12.. Game theory. Multiple . self-interested . agents interacting in the same environment. Serge . Bolongie. , . Jitendra. Malik, Jan . Puzicha. Presenter : . Neha. . Raste. . 1. Outline. Introduction. Background. Algorithm. Explanation. Results and Discussion. 2. Introduction . Shape Context .