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Singular distribution
Results: 113

#	Item
21	Using Mixture Models for Collaborative Filtering Jon Kleinberg ∗ Mark Sandler Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-03-09 23:55:35 Recommender system Collaborative filtering Symbol Singular value decomposition Meijer G-function Complex normal distribution Algebra Mathematics Numerical linear algebra
22	Convex Deep Learning via Normalized Kernels ¨ Ozlem Aslan Dept of Computing Science University of Alberta, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2014-11-23 20:13:58 Convex analysis Functional analysis Linear algebra Numerical linear algebra Convex optimization Mathematical optimization Convex function Singular value decomposition Distribution Mathematical analysis Algebra Mathematics
23	Efficient Template Attacks Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge Abstract. Template attacks remain a powerful side-channel technique Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-08-04 11:23:40 Multivariate statistics Singular value decomposition Data analysis Algebra of random variables Covariance and correlation Principal component analysis Multivariate normal distribution Linear discriminant analysis Covariance Statistics Algebra Linear algebra
24	Visual Comput: 565–575 DOIs00371Rui Wang Ewen Cheslack-Postava Rui Wang Add to Reading List Source URL: luebke.us Language: English - Date: 2013-07-14 12:12:05 Mathematics Precomputed Radiance Transfer Wavelet Rendering JPEG Bidirectional reflectance distribution function Subsurface scattering Haar wavelet Singular value decomposition 3D computer graphics Algebra Linear algebra
25	Pushing the Limit of Non-Profiling DPA using Multivariate Leakage Model Suvadeep Hajra Debdeep Mukhopadhyay Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2013-12-15 14:24:49 Data analysis Singular value decomposition Multivariate statistics Time series analysis Signal processing Principal component analysis Window function Multivariate normal distribution Eigenvalues and eigenvectors Statistics Algebra Mathematics
26	Template Attacks on Different Devices Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge, Cambridge, UK {omar.choudary,markus.kuhn}@cl.cam.ac.uk Abstract. Template attacks remain a most powerf Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-09-23 11:16:45 Information theory Randomness Multivariate normal distribution Normal distribution Entropy Principal component analysis Linear discriminant analysis Multivariate random variable Eigenvalues and eigenvectors Statistics Multivariate statistics Singular value decomposition
27	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
28	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
29	DO SEMIDEFINITE RELAXATIONS REALLY SOLVE SPARSE PCA? arXiv:1306.3690v1 [math.ST] 16 JunBy Robert Krauthgamer Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-17 20:40:45 Data analysis Singular value decomposition Matrices Covariance and correlation Linear algebra Principal component analysis Multivariate normal distribution Covariance matrix Eigenvalues and eigenvectors Statistics Algebra Mathematics
30	ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly Alex Beutel Amr Ahmed Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2015-03-09 20:19:28 Matrix theory Cluster analysis Multivariate statistics Data analysis Linear algebra Singular value decomposition K-means clustering Biclustering Normal distribution Algebra Statistics Mathematics

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