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Expectation–maximization algorithm
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571	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
572	Understanding and evaluating blind deconvolution algorithms 1 Anat Levin1,2, Yair Weiss1,3 , Fredo Durand1 , William T. Freeman1,4 MIT CSAIL, 2 Weizmann Institute of Science, 3 Hebrew University, 4 Adobe Abstract Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-04-01 11:06:18 Mathematics Signal processing Mathematical analysis Deconvolution Blind deconvolution Gaussian function Convolution Maximum likelihood Expectation–maximization algorithm Statistics Image processing Estimation theory
573	Fast Distribution To Real Regression Junier B. Oliva Willie Neiswanger Barnab´ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-09 15:27:07 Regression analysis Non-parametric statistics M-estimators Kernel density estimation Maximum likelihood Errors and residuals in statistics Kernel regression Expectation–maximization algorithm Normal distribution Statistics Estimation theory Statistical theory
574	A Direct Method for Modeling Non-rigid Motion with Thin Plate Spline Jongwoo Lim Department of Computer Science University of Illinois at Urbana Champaign Urbana, IL[removed]removed] Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2005-04-15 19:48:52 Splines Interpolation Imaging Multivariate interpolation Thin plate spline Video tracking Active contour model Rigid body Expectation–maximization algorithm Image processing Numerical analysis Computer vision
575	Examining testlet effects on the PIRLS 2006 assessment Yuwen Chang, National Taipei University of Education, [removed] Jennwu Wang, Fo-Guang University, [removed] Abstract We fit 10 PIRLS testlets w Add to Reading List Source URL: www.iea.nl Language: English - Date: 2011-08-10 09:26:31 Evaluation Item response theory Parameter Computerized adaptive testing Expectation–maximization algorithm Polytomous Rasch model Psychometrics Statistics Education
576	Relational Topic Models for Document Networks Jonathan Chang Department of Electrical Engineering Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Information retrieval Regression analysis Markov chain Expectation–maximization algorithm N-gram Statistics Statistical natural language processing Natural language processing
577	Engineering Part IIB: Module 4F10 Statistical Pattern Processing 2 University of Cambridge Engineering Part IIB Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-10-16 07:13:48 Maximum likelihood Expectation–maximization algorithm Normal distribution Covariance matrix Statistics Estimation theory Multivariate normal distribution
578	A correlated topic model of SCIENCE Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Mixture model Topic model Expectation–maximization algorithm Dirichlet distribution Exponential family Gibbs sampling Information retrieval Dynamic topic model Statistics Statistical natural language processing Probability and statistics
579	Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Sam Patterson Gatsby Computational Neuroscience Unit University College London [removed] Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Statistical models Markov models Statistical natural language processing Expectation–maximization algorithm Markov chain Monte Carlo Fisher information Mixture model Markov chain Latent Dirichlet allocation Statistics Estimation theory Bayesian statistics
580	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing

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