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Linear discriminant analysis
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#	Item
381	Feature Selection in a Kernel Space Bin Cao Peking University, Beijing, China [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:11 Linear algebra Statistical classification Multivariate statistics Abstract algebra Signal processing Support vector machine Kernel methods Kernel principal component analysis Kernel Fisher discriminant analysis Statistics Algebra Mathematics
382	Face Recognition Using Laplacianfaces Xiaofei He†, Shuicheng Yan‡, Yuxiao Hu, Partha Niyogi†, Hong-Jiang Zhang Department of Computer Science, The University of Chicago, 1100 E. 58th Street, Chicago, IL 60637 † Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2004-04-29 16:17:30 Multivariate statistics Linear algebra Singular value decomposition Matrix theory Functional analysis Linear discriminant analysis Principal component analysis Eigenvalues and eigenvectors Trace Algebra Statistics Mathematics
383	Cost-sensitive Multi-class Classification from Probability Estimates Deirdre B. O’Brien Google Inc., Mountain View, CA [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-29 11:48:34 Cross-validation Maximum likelihood Naive Bayes classifier Linear discriminant analysis Expected value Sampling Classification rule Variance Statistics Statistical classification Matrix
384	A Fast Iterative Algorithm for Fisher Discriminant using Heterogeneous Kernels Glenn Fung [removed] Murat Dundar Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:05 Statistical classification Support vector machine Linear classifier Least squares support vector machine Linear discriminant analysis Sequential minimal optimization Kernel Positive-definite kernel Reproducing kernel Hilbert space Statistics Algebra Mathematics
385	Supervised dimensionality reduction using mixture models Sajama Alon Orlitsky University of california at San Diego Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:16:12 Machine learning Statistical theory Statistical classification Mixture model Maximum likelihood Supervised learning Expectation–maximization algorithm Linear discriminant analysis Gaussian function Statistics Estimation theory Multivariate statistics
386	Multimodal Oriented Discriminant Analysis Fernando De la Torre [removed] Robotics Institute, Carnegie Mellon University[removed]Forbes Av., Pittsburgh, PA[removed]USA Takeo Kanade Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:28 Multivariate statistics Linear algebra Statistical classification Data analysis Singular value decomposition Linear discriminant analysis Principal component analysis Covariance matrix Eigenvalues and eigenvectors Statistics Algebra Mathematics
387	Face Recognition Introduction Humans often use faces to recognize individuals and advancements in computing capability over the past few decades now enable similar recognitions automatically. Early face Add to Reading List Source URL: www.fbi.gov Language: English Statistics Artificial intelligence FERET Face Recognition Grand Challenge Face Recognition Vendor Test Facial recognition system ISO/IEC 19794-5 Eigenface Linear discriminant analysis Face recognition Biometrics Security
388	C H A P T E R 1 Introduction to the ODA Paradigm Add to Reading List Source URL: www.apa.org Language: English - Date: 2014-08-11 23:09:01 Estimation theory Multivariate statistics Statistical methods Data analysis Linear regression Structural equation modeling Logistic regression Economic model Linear discriminant analysis Statistics Regression analysis Econometrics
389	MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification Jun Zhu†∗ [removed] Amr Ahmed† [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-07 15:41:06 Estimation theory Latent Dirichlet allocation Topic model Expectation–maximization algorithm Support vector machine Variational Bayesian methods Linear discriminant analysis Errors-in-variables models Dynamic topic model Statistics Statistical natural language processing Statistical classification
390	Final Report Factors That Influence the Decision Not to Substantiate a CPS Referral Phase I: Narrative and Empirical Analysis Diana J. English Add to Reading List Source URL: www1.dshs.wa.gov Language: English - Date: 2010-01-25 17:09:34 Abuse Family therapy Bullying Child abuse Linear discriminant analysis Discriminant Bivariate analysis Psychological abuse Logistic regression Statistics Multivariate statistics Statistical classification

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