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Principal component analysis
Results: 1856

#	Item
741	A tutorial on Principal Components Analysis Lindsay I Smith February 26, 2002 Chapter 1 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-12-18 23:34:32 Summary statistics Singular value decomposition Multivariate statistics Principal component analysis Covariance matrix Eigenvalues and eigenvectors Variance Covariance Standard deviation Statistics Data analysis Covariance and correlation
742	Informative Feature Selection for Object Recognition via Sparse PCA∗ Nikhil Naikal, Allen Y. Yang, and S. Shankar Sastry Department of EECS, University of California, Berkeley {nnaikal, yang, sastry}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-06-10 12:51:40 Mathematics Singular value decomposition Data analysis Computer vision Principal component analysis Eigenvalues and eigenvectors Object recognition Bundle adjustment Matrix Statistics Algebra Multivariate statistics
743	Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. SocThe direct assimilation of principal components of IASI spectra in the ECMWF 4D-Var Add to Reading List Source URL: smsc.cnes.fr Language: English - Date: 2014-01-14 08:10:30 Atmospheric radiative transfer codes Weather prediction Statistical forecasting RTTOV Data assimilation Principal component analysis European Centre for Medium-Range Weather Forecasts MetOp Atmospheric sciences Meteorology Statistics
744	(Eds.), Proceedings of the First International Conference on Plank- Styzen, M. JLate Eocene foraminiferal systematics, biostratonic Microfossils (Vol. 2). Geneva: E. J. Brill, Leiden. tigraphy and paleoecolog Add to Reading List Source URL: s3.amazonaws.com Language: English - Date: 2011-05-06 06:32:36 Rhizaria Chemistry Indian Ocean Water Principal component analysis Geography of Madagascar Matter Amoeboids Foraminifera
745	Notes on the use of R for psychology experiments and questionnaires Jonathan Baron Department of Psychology, University of Pennsylvania Yuelin Li Center for Outcomes Research, Children’s Hospital of Philadelphia ∗ Add to Reading List Source URL: ftp.yz.yamagata-u.ac.jp Language: English - Date: 2003-09-09 07:42:07 Matrix Euclidean vector Vector space Array data type Array programming R Column space Principal component analysis Algebra Mathematics Linear algebra
746	Journal of Machine Learning Research–196 Asian Conference on Machine Learning Learning low-rank output kernels Francesco Dinuzzo Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-11-17 15:04:49 Kernel principal component analysis Singular value decomposition Eigenvalues and eigenvectors Kernel Matrix Positive-definite matrix Hilbert space Projection Linear map Algebra Mathematics Linear algebra
747	Notes on the use of R for psychology experiments and questionnaires Jonathan Baron Department of Psychology, University of Pennsylvania Yuelin Li Center for Outcomes Research, Children’s Hospital of Philadelphia ∗ Add to Reading List Source URL: ftp.acc.umu.se Language: English - Date: 2003-09-09 07:42:07 Matrix Euclidean vector Vector space Array data type Array programming R Column space Principal component analysis Algebra Mathematics Linear algebra
748	Nonlinear Principal Component Analysis of Climate Data by Sailes K. Sengupta and James S. Boyle Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore, CA USA Add to Reading List Source URL: www-pcmdi.llnl.gov Language: English - Date: 2004-11-11 17:46:48 Neural networks Time series analysis Singular value decomposition Principal component analysis Artificial neural network Time series Global climate model Seasonality Statistics Computational neuroscience Multivariate statistics
749	Center for Robotics and Embedded Systems Technical Report Localization from Pairwise Distance Relationships using Kernel PCA Odest Chadwicke Jenkins 1 Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2003-05-03 13:03:59 Nonlinear dimensionality reduction Dimension reduction Isomap Kernel principal component analysis Multidimensional scaling Distance matrix Eigenvalues and eigenvectors Principal component analysis Statistics Multivariate statistics Algebra
750	Feature Article Orthogonal-Blendshape-Based Editing System for Facial Motion Capture Data Qing Li and Zhigang Deng ■ University of Houston Add to Reading List Source URL: graphics.cs.uh.edu Language: English - Date: 2012-10-19 16:56:19 Visual arts Mathematics Face recognition 3D computer graphics Multivariate statistics Computer facial animation Motion capture Principal component analysis Facial motion capture Algebra Computer animation Singular value decomposition

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