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Linear discriminant analysis
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251	Household Sample Surveys in Developing and Transition Countries Chapter XVIII Multivariate methods for index construction Savitri Abeyasekera Add to Reading List Source URL: unstats.un.org Language: English - Date: 2005-03-18 15:01:40 Data analysis Analysis Linear regression Cluster analysis Regression analysis Principal component analysis Multivariate analysis Sampling Linear discriminant analysis Statistics Multivariate statistics Factor analysis
252	Microsoft Word - Data Analysis Using FACES IV Scores.doc Add to Reading List Source URL: www.facesiv.com Language: English - Date: 2014-02-10 13:49:41 Market research Scale Linear discriminant analysis Data analysis Factor analysis Level of measurement Structural cohesion Statistics Psychometrics Multivariate statistics
253	Face Recognition Using PCA, LDA and LPP 1. Introduction Face recognition is a very easy task for human being. However, it is a rather hard task for computer to classify faces correctly. Many face recognition techniques h Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Multivariate statistics Singular value decomposition Matrix theory Linear algebra Linear discriminant analysis Statistical classification Principal component analysis Eigenface Eigenvalues and eigenvectors Statistics Algebra Mathematics
254	Discriminative Decorrelation for Clustering and Classification? Bharath Hariharan1 , Jitendra Malik1 , and Deva Ramanan2 1 Univerisity of California at Berkeley, Berkeley, CA, USA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-07-31 09:01:30 Data analysis Computer vision Machine learning Linear classifier Linear discriminant analysis Principal component analysis Whitening transformation Support vector machine Normal distribution Statistics Multivariate statistics Statistical classification
255	Training deformable part models with decorrelated features Ross Girshick and Jitendra Malik UC Berkeley {rbg, malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-10-14 17:32:54 Multivariate statistics Linear discriminant analysis Histogram of oriented gradients Support vector machine Expectation–maximization algorithm Filter Estimation theory Statistics Statistical classification Signal processing
256	Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability Ramesh Nallapati, William Cohen and John Lafferty Machine Learning Department Carnegie Mellon University 50 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:58:31 Missing data Latent Dirichlet allocation Linear discriminant analysis Statistics Estimation theory Expectation–maximization algorithm
257	MARK 8349 Multivariate Statistics Fall 2009[removed]Professor James Hess MARK 8349 Multivariate Methods in Marketing Fall[removed]Professor James Hess MARK 8349 Multivariate Statistics Fall 2009[removed]Pro Add to Reading List Source URL: www.bauer.uh.edu Language: English - Date: 2009-08-18 15:06:00 Econometrics Psychometrics Statistical methods SPSS Factor analysis Structural equation modeling Linear discriminant analysis Multivariate analysis General linear model Statistics Regression analysis Multivariate statistics
258	A revision of the Dibrachys cavus species complex (Hymenoptera: Chalcidoidea: Pteromalidae) Add to Reading List Source URL: www.mapress.com Language: English - Date: 2011-07-05 16:35:09 Statistical classification Bioinformatics Morphometrics Linear discriminant analysis Principal component analysis Cavus Statistics Multivariate statistics Comparative anatomy
259	Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500 Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 11:12:33 Computational neuroscience Multivariate statistics Regression analysis Linear discriminant analysis Logistic regression Cross-validation Neural network Statistical power Statistical model Statistics Machine learning Statistical classification
260	Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 17:10:14 Regression analysis Model selection Statistical classification Linear discriminant analysis Bayesian information criterion Feature selection Discriminant Principal component analysis Random forest Statistics Multivariate statistics Econometrics

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