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Normal science
Results: 1249

#	Item
741	Stream Processing Algorithms that Model Behavior Change Agostino Capponi∗ Computer Science Department California Institute of Technology USA Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 09:14:12 Econometrics Statistical models Total least squares Normal distribution Variance Algorithm Exponential smoothing Kalman filter Linear regression Statistics Regression analysis Data analysis
742	User assisted separation of reflections from a single image using a sparsity prior Anat Levin and Yair Weiss School of Computer Science and Engineering The Hebrew University of Jerusalem[removed]Jerusalem, Israel Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2004-02-11 13:45:38 Computer vision Fourier analysis Differential operators Image processing Laplace operator Normal distribution Mixture model Mathematical analysis Calculus Statistics
743	10th International Society for Music Information Retrieval Conference (ISMIR[removed]A FILTER-AND-REFINE INDEXING METHOD FOR FAST SIMILARITY SEARCH IN MILLIONS OF MUSIC TRACKS Dominik Schnitzer Austrian Research Institute Add to Reading List Source URL: ismir2009.ismir.net Language: English - Date: 2014-01-23 13:04:39 Search algorithms Machine learning Numerical analysis Information retrieval Data mining K-nearest neighbor algorithm Nearest neighbor search Recommender system Multivariate normal distribution Information science Statistics Science
744	O. BARNICH, S. J ODOGNE, and M. VAN D ROOGENBROECK. Robust analysis of silhouettes by morphological size distributions, volume 4179 of Lecture Notes on Computer Science, pages[removed]Springer Verlag, 2006. http://orbi. Add to Reading List Source URL: orbi.ulg.ac.be Language: English - Date: 2014-08-26 07:38:19 Cluster analysis Paper art Silhouette Algorithm Normal distribution Mixture model Expectation–maximization algorithm Information theory Statistics Probability and statistics Machine learning
745	Improved SAT-Based Boolean Matching Using Implicants for LUT-Based FPGAs Jason Cong and Kirill Minkovich Computer Science Department University of California, Los Angeles Los Angeles, CA 90095, USA Add to Reading List Source URL: cadlab.cs.ucla.edu Language: English - Date: 2007-02-13 15:10:27 Mathematical logic Implicant Lookup table Canonical form Boolean satisfiability problem Conjunctive normal form Binary decision diagram Truth table Boolean function Boolean algebra Theoretical computer science Mathematics
746	A Decade of Extrasolar Planets around Normal Stars (ed. M. Livio), Cambridge: Cambridge University Press, 2005 in preparation KEPLER MISSION: Design, Expected Science Results, Opportunities to Participate William J. Boru Add to Reading List Source URL: www.cfa.harvard.edu Language: English - Date: 2007-04-30 15:40:31 Exoplanetology Kepler Terrestrial planet Extrasolar planet Planetary system Methods of detecting extrasolar planets Astronomical transit Planet Hot Jupiter Astronomy Planetary science Space
747	Efficient Marginal Likelihood Optimization in Blind Deconvolution 1 Anat Levin1 , Yair Weiss2 , Fredo Durand3 , William T. Freeman3 Weizmann Institute of Science, 2 Hebrew University, 3 MIT CSAIL Abstract Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2011-04-04 07:52:18 Image processing Data analysis Normal distribution Deconvolution Covariance Statistics Covariance and correlation Signal processing
748	The Structure of Utility in Spatial Models of Voting Royce Carroll Rice Jeffrey B. Lewis UCLA Add to Reading List Source URL: www.voteview.com Language: English - Date: 2013-10-14 16:02:32 Political science Psychometrics Gaussian function Utility Preference Normal distribution Statistics Decision theory NOMINATE
749	Microsoft Word - MDM4U Overview Add to Reading List Source URL: www.edu.gov.on.ca Language: English - Date: 2012-12-04 16:50:02 Data Normal distribution Statistics Permutation Probability distribution Probability Combinatorics Sampling Mathematics Information Probability and statistics Science
750	Learning to Combine Bottom-Up and Top-Down Segmentation Anat Levin Yair Weiss⋆ School of Computer Science and Engineering The Hebrew University of Jerusalem Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2008-05-20 11:36:19 Applied mathematics Mathematics Image processing Segmentation Graphical models Conditional random field Normal distribution Supervised learning Algorithm Theoretical computer science Machine learning Statistics

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