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Kalman decomposition
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1	Incremental Learning for Robust Visual Tracking ∗ David A. Ross∗ Jongwoo Lim† Ruei-Sung Lin‡ Ming-Hsuan Yang† University of Toronto † Honda Research Institute, USA ‡ Motorola Labs Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:46:19 Linear algebra Multivariate statistics Matrix theory Dimension reduction Numerical linear algebra Singular value decomposition Covariance Principal component analysis Normal distribution Kalman filter Linear discriminant analysis Eigenvalues and eigenvectors
2	Christiano FINC 520, Spring 2007 Homework 4, due Tuesday, MayIn class, we motivated the spectral decomposition theorem using the band pass filter. In this question, we motivate the same theorem using a discrete de Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2007-04-25 23:36:36 Signal processing Frequency domain analysis Fourier analysis Scattering Spectral density Spectroscopy Seasonal adjustment Kalman filter Spectrum
3	Nonlinear Factor Recovery for Long-Term SLAM Mladen Mazuran Wolfram Burgard Gian Diego Tipaldi Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2015-10-12 05:06:30 Probability theory Markov models Tree decomposition Markov blanket Kalman filter Line graph Matrix Belief propagation
4	A Singularly Valuable Decomposition: The SVD of a Matrix Dan Kalman The American University Washington, DCFebruary 13, 2002 Add to Reading List Source URL: www.math.umn.edu Language: English - Date: 2013-02-05 18:27:15
5	6. Kalman filter implementation for linear algebraic equations. Karhunen-Loeve decomposition 6.1. Solvable linear algebraic systems. Probabilistic interpretation. Let A be a quadratic matrix (not obligatory nonsingular). Add to Reading List Source URL: www.eng.tau.ac.il Language: English - Date: 2002-03-14 04:43:13
6	A study of scale effect on specific sediment yield in the Loess Plateau, China Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2010-12-13 22:35:28 Estimation theory Bayesian statistics Weather prediction Data analysis Control theory Data assimilation Ensemble Kalman filter Singular value decomposition Principal component analysis Statistics Algebra Mathematics
7	NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Marginal Variances for Gaussian Markov Random Fields by Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2005-03-14 10:30:29 Matrices Numerical linear algebra Markov models Cholesky decomposition Operator theory Matrix Kalman filter Symmetric matrix Positive-definite matrix Algebra Linear algebra Mathematics
8	Reduced order models in data assimilation C.Boess, A.S. Lawless, N.K. Nichols University of Reading, U.K. A. Bunse-Gerstner Add to Reading List Source URL: www.nceo.ac.uk Language: English - Date: 2013-05-09 14:08:09 Regression analysis Least squares Numerical linear algebra Singular value decomposition Linear least squares Matrix Covariance Eigenvalues and eigenvectors Kalman filter Algebra Statistics Mathematics
9	Reduced Space Optimal Analysis for Historical Data Sets: 136 years of Atlantic Sea Surface Temperatures Alexey Kaplan, Yochanan Kushnir, Mark A. Cane, and M. Benno Blumenthal Lamont{Doherty Earth Observatory of Columbia Add to Reading List Source URL: rainbow.ldeo.columbia.edu Language: English - Date: 2004-07-15 15:09:27 Data analysis Regression analysis Linear filters Data assimilation Principal component analysis Kalman filter Empirical orthogonal functions Least squares Singular value decomposition Statistics Estimation theory Control theory
10	3136 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 11, NOVEMBER 2004 Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:38:08 Probability theory Belief propagation Coding theory Markov models Markov random field Planar graph Matrix Tree decomposition Kalman filter Graph theory Mathematics Graphical models

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