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Expectation–maximization algorithm
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51	Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling Tiberio S. Caetano, Silvia D. Olabarriaga, Dante A. C. Barone Universidade Federal do Rio Grande do Sui Instituto de Informcitica Av. Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:26 Statistical theory Gaussian function Cluster analysis Mixture model Expectation–maximization algorithm Segmentation Maximum likelihood Normal distribution Statistical model Statistics Image processing Estimation theory
52	Bayesian Probability Maps For Evaluation Of Cardiac Ultrasound Data Mattias Hansson1 , Sami Brandt1,2 , and Petri Gudmundsson3 1 Center for Technological Studies, Malm¨o University, Sweden, Add to Reading List Source URL: www.ee.oulu.fi Language: English - Date: 2010-11-08 03:59:58 Bayesian statistics Statistical models Statistical theory Expectation–maximization algorithm Missing data Mixture model Maximum likelihood Gibbs sampling Prior probability Statistics Probability and statistics Estimation theory
53	CME 323: Distributed Algorithms and Optimization, Spring 2015 http://stanford.edu/~rezab/dao. Instructor: Reza Zadeh, Databricks and Stanford. Lecture 11, Schmit. Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-05-13 20:54:52 Stochastic optimization Operations research Stochastic gradient descent Gradient descent K-means++ Expectation–maximization algorithm K-means clustering Mathematical optimization Numerical analysis Statistics Mathematics
54	Chapter 9 Survival Analysis and the EM Algorithm Survival analysis had its roots in governmental and actuarial statistics, spanning centuries of use in assessing life expectencies, insurance rates, and annuities. In the Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2014-11-21 19:45:54 Statistical tests Estimation theory Statistical models Proportional hazards models Logrank test Normal distribution Risk Expectation–maximization algorithm Statistical hypothesis testing Statistics Survival analysis Actuarial science
55	Kernel Methods for Text-Independent Speaker Verification Chris Longworth Cambridge University Engineering Department and Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2010-02-25 03:54:38 Statistical theory Non-parametric statistics Kernel Support vector machine Multivariate normal distribution Expectation–maximization algorithm Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Statistical classification Estimation theory
56	Maximum likelihood estimation for Markov processes Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-12-09 08:45:04 Bayesian statistics Statistical inference Maximum likelihood Likelihood function Likelihood-ratio test Expectation–maximization algorithm Likelihood principle Statistics Estimation theory Statistical theory
57	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory
58	Scalable Recommendation with Poisson Factorization Prem Gopalan Jake M. Hofman David M. Blei Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2013-11-25 11:00:49 Variational Bayesian methods Latent Dirichlet allocation Recommender system Poisson distribution Non-negative matrix factorization Expectation–maximization algorithm Collaborative filtering Exponential family Statistics Bayesian statistics Multivariate statistics
59	Harmonium Models for Semantic Video Representation and Classication Jun Yang Yan Liu∗ Eric X. Ping Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-04-27 11:41:08 Statistical models Regression analysis Probabilistic latent semantic analysis Latent Dirichlet allocation Expectation–maximization algorithm Dummy variable Linear discriminant analysis Gibbs sampling Semantics Statistics Statistical natural language processing Categorical data
60	Debiasing Crowdsourced Batches Honglei Zhuang, Aditya Parameswaran, Dan Roth and Jiawei Han Department of Computer Science University of Illinois at Urbana-Champaign {hzhuang3, adityagp, danr, hanj}@illinois.edu Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2015-02-20 07:50:14 Expectation–maximization algorithm Missing data Sampling Naive Bayes classifier Algorithm Collection Statistics Theoretical computer science Estimation theory