PPT-Fast and Exact (Poisson) Solvers

on Symmetric Geometries Misha Kazhdan Johns Hopkins University   GradientDomain Stitching   GradientDomain Stitching Mean Curvature Flow   GradientDomain Stitching Mean Curvature Flow. Zemel Dept of Computer Science University of Toronto dtarlowkswerskyzemel cstorontoedu Ryan P Adams Sch of Eng Appl Sci Harvard University rpaseasharvardedu Brendan J Frey Prob Stat Inf Group University of Toronto freypsitorontoedu Abstract Cardin Surface Reconstruction. Misha Kazhdan. Johns Hopkins University. Hugues Hoppe. Microsoft Research. Motivation. 3D scanners are everywhere:. Time of flight. Structured light. Stereo images. Shape from shading. Teaching & Learning Conference. Jane Nolan MBE. Entrepreneur in Residence and Development Officer (Careers Service). Katie Wray. Lecturer in Enterprise (SAgE Faculty). Entrepreneurial Students. Some statistics:. via Web Services. BY. Roi. . Ceren. Muthukumaran Chandrasekaran. Background. POMDP. . Models a single agent’s decision process in which the agent doesn’t directly observe the underlying state. Exact solution yields the optimal action for each possible belief over the states. Shane G. Henderson. http://people.orie.cornell.edu/~shane. A Traditional Definition. Shane G. Henderson. 2. /15. What . A. re . T. hey For?. Shane G. Henderson. 3. /15. Times of customer arrivals (no scheduling and no groups). Named After Siméon-Denis Poisson. What’s The Big Deal?. Binomial and Geometric distributions only work when we have Bernoulli trials.. There are three conditions for those.. They happen often enough, to be sure, but a good many situations do not fit those models.. The Poisson random variable was first introduced by the French mathematician Simeon-Denis Poisson (1781-1840). He discovered it as a limit to the binomial distribution as the number of trials . n. approaches infinity.. and Thread Scalable Subdomain Solvers. Siva . Rajamanickam . Joint Work: Joshua . Booth, Mehmet . Deveci. , . Kyungjoo. . Kim,. Andrew Bradley, Erik . Boman. Collaborators: . Clark . Dohrmann. , Heidi . Zuzana. . Kukelova. , Martin . Bujnak. , Tomas . Pajdla. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. A. A. Motivation. Recognition & Tracking. Richard Peng. Georgia Tech. Based on . recent works . joint with:. Serban . Stan (Yale. ), . Haoran. . Xu (MIT. ),. Shen . Chen Xu (CMU. ), . Saurabh. . Sawlani. (. GaTech. ). John . Gilbert (UCSB. Guy Katz. Schloss. . Dagstuhl. , October 2016. Acknowledgements . Based on joint work with Clark Barrett, Cesare . Tinelli. , Andrew Reynolds and Liana . Hadarean. (. FMCAD’16. ). 2. Stanford . University. Preprocessing. Can . Efficiently. . Simulate. Resolution. Paul . Beame. *. . Ashish Sabharwal. . *. Computer Science and Engineering, University of Washington, Seattle, WA, USA. . Allen Institute for Artificial Intelligence, Seattle, WA, USA. . and Exponential Distributions. 5. Introduction. Several specific distributions commonly occur in a variety of business situations:. N. ormal distribution—a continuous distribution . characterized . . and Exponential Distributions. 5. Introduction. Several specific distributions commonly occur in a variety of business situations:. N. ormal distribution—a continuous distribution . characterized .