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Expectation–maximization algorithm
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#	Item
461	Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei Computer Science Department Princeton University {chongw, blei, feifeili}@cs.princeton.edu Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:53:42 Estimation theory Automatic image annotation Expectation–maximization algorithm Latent Dirichlet allocation Topic model Maximum likelihood LabelMe Annotation Dimensional analysis Statistics Artificial intelligence Statistical natural language processing
462	Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series wit Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-11-19 11:12:13 Bayesian inference Credal set Markov processes Estimation theory Hidden Markov model Markov chain Expectation–maximization algorithm Imprecise probability Naive Bayes classifier Statistics Markov models Bayesian statistics
463	Learning Higher-Order Markov Models for Object Tracking in Image Sequences Michael Felsberg and Fredrik Larsson? {mfe,larsson}@isy.liu.se Department of Electrical Engineering, Link¨oping University Add to Reading List Source URL: liu.diva-portal.org Language: English - Date: 2010-08-19 04:23:53 Estimation theory Robot control Linear filters Markov chain Particle filter Video tracking Kalman filter Monte Carlo method Expectation–maximization algorithm Statistics Probability and statistics Markov models
464	arXiv:1110.3564v2 [cs.LG] 8 Nov[removed]Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems David R. Karger, Sewoong Oh, and Devavrat Shah Department of EECS, Massachusetts Institute of Technology Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-18 07:16:57 Theoretical computer science Coding theory Algorithm Mathematical logic Expectation–maximization algorithm Belief propagation Mathematics Statistics Applied mathematics
465	Map-Reduce for Machine Learning on Multicore Cheng-Tao Chu ∗ [removed] Sang Kyun Kim ∗ [removed] Add to Reading List Source URL: www.jaso.co.kr Language: English - Date: 2014-02-28 05:22:29 Multivariate statistics Learning Statistical classification Expectation–maximization algorithm Support vector machine Principal component analysis Machine learning Algorithm Time complexity Statistics Regression analysis Estimation theory
466	The Relationship Between the Bock-Aitkin Procedure and the EM Algorithim for IRT Model Estimation Add to Reading List Source URL: act.org Language: English - Date: 2015-01-06 13:08:32 Psychometrics Theoretical computer science Expectation–maximization algorithm Missing data Item response theory Algorithm Maximum likelihood Latent variable model Normal distribution Statistics Statistical models Estimation theory
467	Edge preserving spatially varying mixtures for image segmentation Giorgos Sfikas Christophoros Nikou ∗ Nikolaos Galatsanos Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2008-03-11 05:09:11 Cluster analysis Machine learning Mixture model Normal distribution Segmentation Expectation–maximization algorithm Gaussian function Markov chain Gamma distribution Statistics Probability and statistics Statistical models
468	Event Recognition in Photo Collections with a Stopwatch HMM Lukas Bossard1 Matthieu Guillaumin1 1 Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2013-10-11 09:33:36 Probability theory Markov chain Expectation–maximization algorithm Support vector machine Independence Hidden Markov model Causality Statistics Markov models Statistical classification
469	Study on flexible flowshop scheduling with transportation times and machine availability constraints to minimize mean completi Add to Reading List Source URL: mfr.edp-open.org Language: English Mathematics Numerical analysis Job shop scheduling Sequence-dependent setup Ant colony optimization algorithms Genetic algorithm Single-machine scheduling Algorithm Expectation–maximization algorithm Mathematical optimization Operations research Applied mathematics
470	www.ietdl.org Published in IET Computer Vision Received on 25th September 2012 Revised on 22nd May 2013 Accepted on 15th August 2013 doi: [removed]iet-cvi[removed] Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:06:41 Machine learning Cluster analysis Mixture model Expectation–maximization algorithm Segmentation One-shot learning Gaussian function Statistics Probability and statistics Image processing

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