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K-SVD
Results: 10

#	Item
1	Tabellenboek Luchtkwaliteit 2014 T ABELLENBOEK LUCHTKWALITEITO NS K ENMERK: MIL KVL/DM/SVD) Colofon Add to Reading List Source URL: s3.eu-central-1.amazonaws.com Language: Dutch - Date: 2018-04-17 03:48:35
2	Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Mathematics Numerical analysis Algebra Linear algebra Convex optimization Operations research Computational statistics Mathematical optimization K-SVD Sparse approximation Deep learning Stochastic gradient descent
3	Contents 1 Singular Value Decomposition (SVD) 1.1 Singular Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Singular Value Decomposition (SVD) . . . . . . . . . . . . . . . . . 1.3 Best Rank k Approx Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-06 21:36:15 Linear algebra Singular value decomposition Principal component analysis Singular value Rank Projection Matrix norm Matrix Euclidean vector Degrees of freedom Eigenvalues and eigenvectors Linear subspace
4	Optimal Shrinkage of Fast Singular Values Matan Gavish Stanford Statistics Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-19 11:25:48 Linear algebra Singular value decomposition K-SVD Singular value Principal component analysis Rank
5	Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres · Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Multivariate statistics Operations research Mathematical optimization Numerical linear algebra Dimension reduction Sparse PCA Sparse approximation Principal component analysis Limit of a function Convex optimization Semidefinite programming K-SVD
6	Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2 Add to Reading List Source URL: www.cv-foundation.org Language: English Algebra Linear algebra Mathematics Machine learning Numerical linear algebra Signal processing Sparse dictionary learning Unsupervised learning Sparse approximation Feature learning K-SVD Support vector machine
7	Online Robust Dictionary Learning Cewu Lu Jianping Shi Jiaya Jia The Chinese University of Hong Kong {cwlu,jpshi,leojia}@cse.cuhk.edu.hk Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2013-04-16 04:36:34 Statistics Robust statistics Machine learning Statistical theory Regression analysis Estimation theory Sparse dictionary learning Outlier Random sample consensus Iteratively reweighted least squares K-SVD Sparse approximation
8	hnhc s]mXp-P\ kº¿° (F^v) hIp∏v t^m¨. . Sqdnkw hIp∏v Hgn-sI-bp≈ F√m k¿°m¿ hIp-∏p-I-fp-sSbpw sS≥U¿, ]c-ky-ßf - p-tSbpw hn⁄m-]\ Add to Reading List Source URL: www.prd.kerala.gov.in Language: Swedish - Date: 2014-03-14 05:07:47
9	Intro to Frames, Dictionaries and K-SVD Jim Van Verth Software Engineer, Google Manny Ko Add to Reading List Source URL: www.essentialmath.com Language: English - Date: 2014-03-22 12:50:43 Abstract algebra Euclidean vector Linear combination Vector space Linear independence Vector Basis Singular value decomposition Matrix Algebra Mathematics Linear algebra
10	Notes on Rank-K Approximation (and SVD for the uninitiated) Robert A. van de Geijn Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-04-19 21:49:08 Rank Singular value decomposition Matrix Column space Algebra Mathematics Linear algebra

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