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Normal matrix
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281	Metastable Walking on Stochastically Rough Terrain Katie Byl and Russ Tedrake Abstract— Simplified models of limit-cycle walking on flat terrain have provided important insights into the nature of legged locomotion. Re Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2008-07-31 16:41:47 Stochastic processes Dynamical systems Markov chain Stochastic matrix Stochastic Metastability Spin glass Normal distribution Control theory Statistics Probability and statistics Markov models
282	Bingham Procrustean Alignment for Object Detection in Clutter Jared Glover and Sanja Popovic Abstract— A new system for object detection in cluttered RGB-D images is presented. Our main contribution is a new method cal Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-08-12 17:46:21 Optics 3D computer graphics Object recognition Normal Rotation matrix Curvature 3D single object recognition Quaternion Computer vision Vision Imaging
283	Microsoft Word - M30P-PJ-2006-Feb_Biathlon-TchNotes.doc Add to Reading List Source URL: www.education.alberta.ca Language: English - Date: 2007-11-15 17:31:18 Analytic geometry Birational geometry Conic section Normal distribution Permutation Calculator Graphing calculator Symmetry in mathematics Matrix Geometry Mathematics Office equipment
284	– 1– ± 0 FORM FACTORS Kℓ3 AND Kℓ3 Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2013-12-18 14:58:39 Mathematics Normal distribution Parameter Matrix
285	Microsoft Word - The PM10-2.5 Model detail.doc Add to Reading List Source URL: www.epa.gov Language: English - Date: 2005-08-23 15:28:57 Numerical linear algebra Cholesky decomposition Operator theory Variance Normal distribution Matrix Mathcad Statistics Mathematics Mathematical analysis
286	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:21 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
287	An Efficient Sparse Metric Learning in High-Dimensional Space via !1 -Penalized Log-Determinant Regularization Guo-Jun Qi [removed] Depart. ECE, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Matrix theory Matrices Multivariate statistics Linear algebra Data analysis Mahalanobis distance Matrix Multivariate normal distribution Covariance matrix Algebra Statistics Mathematics
288	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5200 Auth Road Camp Springs, MD[removed] Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2002-01-22 02:31:26 Control theory Linear filters Maximum likelihood Kalman filter Data assimilation Likelihood function Covariance matrix Normal distribution Bayesian linear regression Statistics Estimation theory Bayesian statistics
289	Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA, USA[removed]JCUNNIN @ STANFORD . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 17:24:58 Normal distribution Matrices Estimation theory Orthogonal matrix Spectrum Multivariate normal distribution Determinant Log-normal distribution Gaussian process Algebra Statistics Mathematics
290	C ONTRIBUTED RESEARCH ARTICLE 1 sgr: A Package for Simulating Conditional Fake Ordinal Data Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-05-01 01:20:02 Covariance and correlation Estimation theory Regression analysis Correlation and dependence Matrix Level of measurement Normal distribution Variance Statistics Econometrics Actuarial science

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