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Sparse approximation
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#	Item
21	CLASS PROJECT FOR EE225B (SPRING 2006), UNIVERSITY OF CALIFORNIA-BERKELEY 1 Sparse Signal Representation: Image Compression using Sparse Bayesian Learning Add to Reading List Source URL: www.ericbattenberg.com Language: English - Date: 2016-04-17 01:51:15 Statistics Signal processing Mathematical analysis Probability Multivariate statistics Numerical linear algebra Sparse approximation Wavelet Filter bank Normal distribution Matching pursuit Linear algebra
22	IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 1 Codebook based Audio Feature Representation for Music Information Retrieval Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2016-05-31 12:44:38 Vectors Abstract algebra Linear algebra Vector quantization Representation theory of Lie groups Lie algebras Code K-means clustering Lasso Four-vector Euclidean vector Sparse approximation
23	Hierarchical Sparse Coded Surface Models Michael Ruhnke Liefeng Bo Abstract— In this paper, we describe a novel approach to Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2014-10-22 05:12:41 Color space RGB color model Octree Machine learning Sparse approximation 3D modeling Cognition Learning Cognitive science
24	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
25	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain∗ Ambuj Tewari† Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-01-11 15:04:36 Statistics Statistical theory Estimation theory Sparse approximation Bias of an estimator Consistent estimator Loss function M-estimator Linear regression Sufficient statistic
26	Orthogonal Matching Pursuit with Replacement Prateek Jain Microsoft Research India Bangalore, INDIA Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-12 18:50:23 Numerical linear algebra Mathematics Information science Dimension reduction Sparse approximation Information retrieval Locality-sensitive hashing Thresholding Matrix Sparse matrix Wavelet
27	Constant-factor approximation of domination number in sparse graphs Zdenˇek Dvoˇra´ k∗ Abstract The k-domination number of a graph is the minimum size of a set X such Add to Reading List Source URL: iti.mff.cuni.cz Language: English - Date: 2016-02-04 05:53:38
28	Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao1 , Xiaoye Jiang2 , Aditya Khosla1 , Andy Lai Lin3 , Leonidas Guibas1 , and Li Fei-Fei1 1 2 Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2011-09-28 17:56:07 Science and technology Mathematics Conference on Computer Vision and Pattern Recognition Academia Sparse approximation Attribute Machine learning Outline of object recognition Compressed sensing
29	Karin Schnass* (), Porto Conte Ricerche, 07041 Alghero, Italy. A tour from sparse approximation over dictionary learning to random sparse properties of frames. Preliminary report. Overcomple Add to Reading List Source URL: jointmathematicsmeetings.org Language: English - Date: 2014-09-05 00:42:14
30	1 Blind Denoising with Random Greedy Pursuits Manuel Moussallam∗ , Alexandre Gramfort† , Laurent Daudet∗ , and Ga¨el Richard† ∗ Institut Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-05-30 06:52:52 Signal processing Mathematical analysis Electrical engineering Timefrequency analysis Statistics Noise Wavelet Multivariate statistics Time series analysis IP Noise reduction Sparse approximation

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