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Multivariate
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#	Item
261	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
262	Deformable Template As Active Basis Ying Nian Wu, Zhangzhang Si, Chuck Fleming, and Song-Chun Zhu UCLA Department of Statistics http://www.stat.ucla.edu/∼ywu/ActiveBasis.html Abstract Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2007-08-20 02:10:20 Statistical theory Probability distributions Signal processing Timefrequency analysis Wavelet Regression analysis KullbackLeibler divergence FO Maximum likelihood estimation Exponential distribution Closed and exact differential forms Bayesian multivariate linear regression
263	GENRE SPECIFIC DICTIONARIES FOR HARMONIC/PERCUSSIVE SOURCE SEPARATION Cl´ement Laroche1,2 H´el`ene Papadopoulos2 Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:32 Multivariate statistics Linear algebra Matrix theory Numerical linear algebra Non-negative matrix factorization Music information retrieval International Society for Music Information Retrieval Blind signal separation Dictionary Principal component analysis Singular value decomposition Factorization
264	Walk’n’Merge: A Scalable Algorithm for Boolean Tensor Factorization D´ora Erd˝os Pauli Miettinen Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2013-12-06 18:36:48 Multilinear algebra Tensors Multivariate statistics Matrix theory Linear algebra Higher-order singular value decomposition Outer product Matrix decomposition Rank Mathematics of general relativity
265	CMBver9-Baran_2P 1..13 Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2015-06-23 04:28:22 Genetics Covariance and correlation Multivariate statistics Population genetics Dimension reduction Principal component analysis Genetic variance Covariance Genome-wide association study Single-nucleotide polymorphism Imputation Eigenvalues and eigenvectors
266	An Introduction to Partial Least Squares Regression Randall D. Tobias, SAS Institute Inc., Cary, NC Abstract Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Regression analysis Multivariate statistics Econometrics Psychometrics Statistical methods Partial least squares regression Structural equation modeling Chemometrics Linear regression Least squares Latent variable Degrees of freedom
267	Estimation of conditionality of pork sensory quality by using multivariate analysis Add to Reading List Source URL: www.archanimbreed.com Language: English - Date: 2016-01-06 06:20:58 Meat Raw meat Marbling Pork Red meat Sausage
268	1 Kernel Optimization in Discriminant Analysis Di You, Onur C. Hamsici and Aleix M. Martinez Dept. Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210 Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:50 Linear algebra Functional analysis Multivariate statistics Statistical classification Operator theory Normal distribution Linear discriminant analysis Kernel method Kernel principal component analysis Distribution Radial basis function kernel Positive-definite kernel
269	Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:20:42 Artificial neural networks Multivariate statistics Signal processing Computational neuroscience Computational statistics Factorial code Sepp Hochreiter Autoencoder Backpropagation Principal component analysis Independent component analysis
270	CS168: The Modern Algorithmic Toolbox Lecture #3: Similarity Metrics and kd-Trees Tim Roughgarden & Gregory Valiant April 6, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Metric geometry Length Multivariate statistics Statistical distance Search algorithms Jaccard index Similarity Metric Cosine similarity K-d tree K-nearest neighbors algorithm Euclidean distance

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