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Covariance matrix
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11	12th International Conference on Parallel Problem Solving From Nature - PPSN XII On spectral invariance of Randomized Hessian and Covariance Matrix Adaptation schemes Sebastian U. Stich Add to Reading List Source URL: sstich.ch Language: English - Date: 2012-09-06 05:25:23 Evolutionary algorithms Mathematical analysis Mathematics Mathematical optimization CMA-ES Gaussian adaptation Hessian matrix Evolution strategy
12	1 On-Manifold Preintegration for Real-Time Visual-Inertial Odometry Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-07-19 03:19:56 Statistics Statistical theory Mathematical analysis Estimation theory Robot control Control theory Kalman filter Estimation of covariance matrices Maximum likelihood estimation Normal distribution Covariance Matrix exponential
13	Estimation and Orthogonal Block Structure Sandra S. Ferreira∗† , C´elia Nunes‡ , D´ario Ferreira§ , Elsa Moreira¶ and Jo˜ao Tiago Mexiak Abstract Estimators with good behaviors for estimable vectors and varian Add to Reading List Source URL: www.hjms.hacettepe.edu.tr Language: English - Date: 2015-03-18 17:03:59 Statistics Mathematical analysis Probability Covariance and correlation Matrices Covariance matrix Covariance Matrix Normal distribution Orthogonal matrix
14	University of Zurich Department of Economics Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:33:21 Statistics Algebra Mathematics Covariance and correlation Estimation theory Matrices Summary statistics Statistical theory Covariance matrix Covariance Variance Sample mean and covariance
15	A combination of convex programs developed by Chan- drasekaran, Parillo and Wilskyand Saunderson et alcan be used to extract financial risk factors from a sample return covariance matrix. I will examine Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
16	Ann Inst Stat Math:765–785 DOIs10463Convergence of empirical spectral distributions of large dimensional quaternion sample covariance matrices Huiqin Li · Zhi Dong Bai · Jiang Hu Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:13 Covariance and correlation Algebra of random variables Matrices Summary statistics Random matrices Random matrix Quaternion algebra Covariance matrix Quaternion Covariance Sample mean and covariance Matrix
17	A DIRECT FORMULATION FOR SPARSE PCA USING SEMIDEFINITE PROGRAMMING∗ ALEXANDRE D’ASPREMONT† , LAURENT EL GHAOUI‡ , MICHAEL I. JORDAN§ , AND GERT R. G. LANCKRIET¶ Abstract. Given a covariance matrix, we consider Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Mathematical optimization Matrix theory Multivariate statistics Linear programming Operations research Sparse PCA Semidefinite programming Principal component analysis Convex optimization Eigenvalues and eigenvectors Matrix Singular value decomposition
18	Chapter 6 Constructs, Components, and Factor models Parsimony of description has been a goal of science since at least the famous dictum commonly attributed to William of Ockham to not multiply entities beyond necessity Add to Reading List Source URL: personality-project.org Language: English - Date: 2011-08-17 18:07:44 Covariance and correlation Factor analysis Multivariate statistics Regression analysis Linear algebra Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Exploratory factor analysis Singular value decomposition Multiple correlation
19	Accurate and Scalable Correlation Analysis approach for decoding of distributed encode multi view images V.Pratyusha MTech Student Department of CSE CMR College of Engineering & Technology Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-01-07 00:11:25 ISO standards Image compression Computer file formats Graphics file formats Covariance and correlation JPEG Correlation and dependence H.264/MPEG-4 AVC Digital image correlation Matrix Compressed sensing
20	Searching for information hidden in multivariate data Mgr. Radoslav Harman, PhD. Department of Applied Mathematics and Statistics Faculty of Mathematics, Physics and Informatics Comenius University Bratislava Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2011-05-02 15:34:17 Multivariate statistics Probability distributions Covariance and correlation Stable distributions Algebra of random variables Principal component analysis Multivariate normal distribution Covariance matrix Multivariate random variable Eigenvalues and eigenvectors Vector Eigenface

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