SubSpace

Results: 408



#Item
311Linear algebra / Matrix theory / Operator theory / Singular value decomposition / Invariant subspace / Matrix / Similar matrix / Canonical form / Symmetric matrix / Algebra / Mathematics / Matrices

rbooknew47 May 1, 2014 7x10

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Source URL: press.princeton.edu

Language: English - Date: 2014-06-12 10:15:51
312Mathematical analysis / Multigrid method / Domain decomposition methods / Preconditioner / Projection / Conjugate gradient method / Gauss–Seidel method / Jacobi method / Numerical analysis / Numerical linear algebra / Mathematics

Computing 69, 205–[removed]Digital Object Identifier (DOI[removed]s00607[removed]A Subspace Cascadic Multigrid Method for Mortar Elements D. Braess, Bochum, P. Deuflhard, Berlin, and K. Lipnikov, Houston Receiv

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Source URL: homepage.ruhr-uni-bochum.de

Language: English - Date: 2005-01-04 07:55:31
313Linear classifier / Classifier / Linear discriminant analysis / Training set / Random subspace method / Statistics / Statistical classification / Machine learning

Development and Validation of Gene Expression Based Diagnostic Classification

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Source URL: linus.nci.nih.gov

Language: English - Date: 2013-03-12 10:01:35
314Econometrics / Regression analysis / Statistical models / Point distribution model / Generalized method of moments / Least squares / Kernel density estimation / Gaussian function / KDE / Statistics / Estimation theory / Mathematical optimization

Face Alignment through Subspace Constrained Mean-Shifts Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA {jsaragih,slucey,jeffcohn}@cs.cmu.edu

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Source URL: www.ri.cmu.edu

Language: English - Date: 2009-08-11 11:11:01
315Machine learning / Computational statistics / Statistical classification / AdaBoost / Classifier / Decision trees / Random subspace method / Bayesian statistics / Multinomial logit / Ensemble learning / Artificial intelligence / Learning

Package ‘bagRboostR’ July 2, 2014 Type Package Title Ensemble bagging and boosting classifiers Version 0.0.2 Author Shannon Rush

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 11:17:44
316Statistical classification / Parts of speech / Classifier / Unified Modeling Language / Support vector machine / Learning classifier system / Ensemble learning / Boosting methods for object categorization / Random subspace method / Statistics / Machine learning / Artificial intelligence

Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Mark C. Benfield , Erik G. Learned-Miller  

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Source URL: vis-www.cs.umass.edu

Language: English - Date: 2008-01-02 15:36:30
317Statistical inference / Kullback–Leibler divergence / Rényi entropy / Consistent estimator / Estimator / Normal distribution / Bayes estimator / Divergence / Bias of an estimator / Statistics / Statistical theory / Estimation theory

NONPARAMETRIC DIVERGENCE ESTIMATORS FOR INDEPENDENT SUBSPACE ANALYSIS Barnabás Póczos1 , Zoltán Szabó2 , and Jeff Schneider1 1 School of Computer Science,

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Source URL: www.cs.cmu.edu

Language: English - Date: 2011-07-25 14:48:24
318Quadratic classifier / Support vector machine / Quadratic / Classifier / Binary classification / Linear classifier / Random subspace method / Statistics / Statistical classification / Linear discriminant analysis

Exploring high-dimensional classification boundaries Hadley Wickham, Doina Caragea, Di Cook January 20, 2006 1

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Source URL: had.co.nz

Language: English - Date: 2010-01-06 11:00:20
319Linear algebra / Krylov subspace / Preconditioner / Eigenvalue algorithm / Eigenvalues and eigenvectors / Iterative method / Matrix / Rayleigh quotient / Arnoldi iteration / Algebra / Numerical linear algebra / Mathematics

ABSTRACT OF DISSERTATION Patrick D. Quillen The Graduate School University of Kentucky

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Source URL: www.ms.uky.edu

Language: English - Date: 2007-01-02 15:50:03
320Functional analysis / Projection / Principal component analysis / Linear subspace / Rayleigh quotient / Singular value decomposition / Vector space / Algebra / Mathematics / Linear algebra

Linear Subspaces - Geometry No Invariants, so Capture Variation • Each image = a pt. in a high-dimensional space.

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Source URL: www.cs.umd.edu

Language: English - Date: 2009-02-12 17:01:46
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