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Normal matrix
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161	A Probabilistic Notion of Correspondence and the Epipolar Constraint Justin Domke and Yiannis Aloimonos Computer Vision Laboratory, Dept. of Computer Science University of Maryland, College Park, MD[removed]USA {domke,yian Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:37:14 Mathematical analysis Probability Fundamental matrix Epipolar geometry Normal distribution Statistics
162	THIS IS VERY CLOSE THE OFFICIAL VERSION, PUBLISHED AS: PROCEEDINGS OF THE IEEE, VOL. 9, NO 10, PP[removed], OCT[removed]Blind signal separation: statistical principles Jean-Francois Cardoso, C.N.R.S. and E.N.S.T. c Add to Reading List Source URL: dsp-book.narod.ru Language: English - Date: 2013-05-06 00:55:50 Normal distribution Independent component analysis Maximum likelihood Covariance Probability density function Kurtosis Matrix Probability distribution Derivative Statistics Data analysis Statistical models
163	A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets Robert A. Granat1 Jet Propulsion Laboratory Pasadena CA 91106, USA Abstract. Geophysics research has been faced with a growing need for aut Add to Reading List Source URL: quakes.earth.uq.edu.au Language: English - Date: 2003-03-06 23:37:05 Markov models Markov processes Linear algebra Matrix theory Markov chain Eigenvalues and eigenvectors Hidden Markov model Multivariate normal distribution Normal distribution Algebra Statistics Mathematics
164	SUPPLEMENTAL MATERIAL FOR HUNT AND CARRANO[removed]PALEONTOLOGICAL SOCIETY SHORTCOURSE Likelihood Inference for Evolutionary Models Likelihood is defined as the probability of obtaining the observed data, given a specifie Add to Reading List Source URL: paleosoc.org Language: English - Date: 2010-12-19 20:49:46 Covariance and correlation Matrices Summary statistics Covariance matrix Phylogenetic comparative methods Variance Multivariate normal distribution Normal distribution Maximum likelihood Statistics Data analysis Phylogenetics
165	Fast and Exact Simulation of Large Gaussian Lattice Systems in 2: Exploring the Limits ˇ c´ıkov´ Tilmann Gneiting, Hana Sevˇ a, Donald B. Percival, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-04-04 14:39:18 Matrices Algebra of random variables Data analysis Normal distribution Covariance function Covariance Circulant matrix Multivariate normal distribution Multivariate random variable Statistics Covariance and correlation Geostatistics
166	Ann Inst Stat Math[removed]:211–227 DOI[removed]s10463[removed]z An empirical estimator for the sparsity of a large covariance matrix under multivariate normal assumptions Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:53 Estimation theory Statistical inference Econometrics Multivariate normal distribution Covariance matrix Covariance Estimator Variance Estimation of covariance matrices Statistics Data analysis Covariance and correlation
167	Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models Peter Spirtes Department of Philosophy Carnegie Mellon University Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2014-03-03 17:25:15 Data analysis Psychometrics Regression analysis Covariance Variance Correlation and dependence Matrix Factor analysis Normal distribution Statistics Covariance and correlation Multivariate statistics
168	The Annals of Statistics 2013, Vol. 41, No. 3, 1055–1084 DOI: AOS1014 © Institute of Mathematical Statistics, 2013 MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-06-16 05:23:55 Singular value decomposition Data analysis Matrix theory Covariance and correlation Principal component analysis Eigenvalues and eigenvectors Eigendecomposition of a matrix Covariance matrix Multivariate normal distribution Algebra Statistics Linear algebra
169	On learning parametric-output HMMs Aryeh Kontorovich Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, Israel. Boaz Nadler Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-05-03 03:27:42 Hidden Markov model Markov chain Expectation–maximization algorithm Mixture model Normal distribution Baum–Welch algorithm Speech recognition Stochastic matrix Variance Statistics Markov models Probability and statistics
170	largest_eig_detection.dvi Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2011-03-30 20:39:52 Singular value decomposition Mathematical physics Multivariate statistics Probability theory Covariance matrix Principal component analysis Multivariate normal distribution Eigenvalues and eigenvectors Normal distribution Statistics Algebra Data analysis

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