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Functional principal component analysis
Results: 75

#	Item
41	Diffeomorphic Dimensionality Reduction Christian Walder and Bernhard Sch¨olkopf Max Planck Institute for Biological Cybernetics[removed]T¨ubingen, Germany [removed] Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2009-02-20 08:49:31 Functional analysis Dimension reduction Differential topology Dimension Nonlinear dimensionality reduction Diffeomorphism Principal component analysis Tangent space Distribution Statistics Multivariate statistics Mathematical analysis
42	Journal of Machine Learning Research[removed]1095 Submitted 10/06; Published 5/07 Undercomplete Blind Subspace Deconvolution Zolt´an Szab´o Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-10-31 12:39:23 Data analysis Multivariate statistics Functional analysis Signal processing Fourier analysis Independent component analysis Convolution Principal component analysis Differential equation Statistics Mathematical analysis Mathematics
43	N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques Add to Reading List Source URL: eprints.bournemouth.ac.uk Language: English - Date: 2010-07-28 12:35:21 Singular value decomposition Multivariate statistics Matrix theory Functional analysis Principal component analysis Two-dimensional singular value decomposition Higher-order singular value decomposition Eigenvalues and eigenvectors Singular value Algebra Linear algebra Mathematics
44	Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data Jeremy R. Manning1,2, Rajesh Ranganath2, Kenneth A. Norman1,3, David M. Blei2 1 Princeton Neuroscience Institute, Princeton Uni Add to Reading List Source URL: compmem.princeton.edu Language: English* - Date: 2014-05-15 17:35:54 Magnetic resonance imaging Neuroimaging Statistical models Functional magnetic resonance imaging Normal distribution Principal component analysis Kullback–Leibler divergence Independent component analysis Statistics Data analysis Multivariate statistics
45	1 Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise Chenlu Qiu, Namrata Vaswani and Leslie Hogben Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-13 00:34:16 Matrices Matrix theory Singular value decomposition Functional analysis Principal component analysis Projection Eigenvalues and eigenvectors Hermitian matrix Matrix Algebra Linear algebra Mathematics
46	Fast and Robust Appearance-based Tracking Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos and Maja Pantic Abstract— We introduce a fast and robust subspace-based approach to appearance-based object tracking Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2011-03-31 07:36:00 Multivariate statistics Singular value decomposition Functional analysis Matrix theory Principal component analysis Kernel principal component analysis Projection Eigenvalues and eigenvectors Normal distribution Algebra Mathematics Linear algebra
47	1624 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 10, OCTOBER 2012 Efficient Online Subspace Learning With an Indefinite Kernel for Visual Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2012-09-14 12:52:29 Functional analysis Functions and mappings Operator theory Linear algebra Kernel principal component analysis Positive-definite kernel Limit Distribution Entailment Mathematical analysis Mathematics Logic
48	Random projection in dimensionality reduction: Applications to image and text data Ella Bingham and Heikki Mannila ∗ Add to Reading List Source URL: people.inf.elte.hu Language: English - Date: 2014-09-26 08:40:32 Multivariate statistics Dimension reduction Machine learning Information retrieval Functional analysis Principal component analysis Johnson–Lindenstrauss lemma Latent semantic indexing Curse of dimensionality Statistics Algebra Mathematics
49	Data Mining and Matrices 04 – Matrix Completion Prof. Dr. Rainer Gemulla Universit¨ at Mannheim Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-12-11 09:37:42 Multivariate statistics Information retrieval Numerical linear algebra Functional analysis Singular value decomposition Collaborative filtering Recommender system Matrix Principal component analysis Algebra Linear algebra Mathematics
50	Spectral Learning of Hidden Markov Models from Dynamic and Static Data Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 11:52:47 Markov models Functional analysis Multivariate statistics Numerical linear algebra Linear algebra Principal component analysis Expectation–maximization algorithm Singular value decomposition Markov chain Statistics Algebra Mathematics

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