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Sparse vector
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71	Nested Sparse Quantization for Efficient Feature Coding Xavier Boix1? , Gemma Roig1? , and Luc Van Gool1,2 1 ?? Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2012-08-03 03:08:51 Vector quantization Quantum field theory Quantum mechanics Quantization Vector space Matrix Algebra Physics Mathematics
72	APPROXIMATE MESSAGE PASSING ALGORITHMS FOR COMPRESSED SENSING A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING Add to Reading List Source URL: www.ece.rice.edu Language: English - Date: 2011-12-03 13:33:37 Matrix Vector space Norm Euclidean vector Sparse matrix Compressed sensing Algebra Mathematics Linear algebra
73	Hyperspectral Data Classiﬁcation via Sparse Representation in Homotopy Qazi Sami ul Haq,Lixin Shi,Linmi Tao,Shiqiang Yang Key Laboratory of Pervasive Computing, Ministry of Education Department of Computer Science and Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:48 Linear algebra Signal processing Multivariate statistics Abstract algebra Mathematical optimization Support vector machine Homotopy Linear programming Sparse matrix Algebra Mathematics Statistics
74	A Robust Band Compression Technique for Hyperspectral Image Classification Qazi Sami ul Haq,Lixin Shi,Linmi Tao,Shiqiang Yang Key Laboratory of Pervasive Computing, Ministry of Education Department of Computer Science an Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Principal component analysis Hyperspectral imaging Dimension reduction Spectral imaging Sparse PCA Factor analysis Feature extraction Support vector machine Latent semantic indexing Statistics Multivariate statistics Linear discriminant analysis
75	The Lasso Problem and Uniqueness Ryan J. Tibshirani Carnegie Mellon University Abstract The lasso is a popular tool for sparse linear regression, especially for problems in which the number of variables p exceeds the num Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-04-03 22:49:13 Mathematical optimization Theoretical computer science Abstract algebra Linear algebra Least squares Lasso Linear programming Convex optimization Vector space Mathematics Algebra Regression analysis
76	Batch Mode Sparse Active Learning Lixin Shi, Yuhang Zhao Tsinghua University Our work Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Learning Active learning Statistical classification Support vector machine Supervised learning Classifier K-nearest neighbor algorithm Machine learning Artificial intelligence Statistics
77	2010 IEEE International Conference on Data Mining Workshops Batch Mode Sparse Active Learning Lixin Shi Institute for Theoretical Computer Science, Tsinghua University Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Statistical classification Multivariate statistics Machine learning Cybernetics Compressed sensing Support vector machine Submodular set function Sparse matrix K-nearest neighbor algorithm Statistics Mathematics Signal processing
78	Sparse Matrix Factorization: Applications to Latent Semantic Indexing Erin Moulding, Department of Computer Science, University of Saskatchewan, Saskatoon, SK, S7N 5C9, [removed] April Kontostathis, Department Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-04 08:10:39 Latent semantic indexing Latent semantic analysis Document retrieval Search engine indexing Relevance Document-term matrix Singular value decomposition Precision and recall Vector space model Information science Information retrieval Science
79	Object class recognition and localization using sparse features with limited receptive fields ∗ Jim Mutch † Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA Add to Reading List Source URL: www.mit.edu Language: English - Date: 2008-04-17 16:44:02 Statistics Image processing California Institute of Technology Caltech 101 Object recognition Feature selection Support vector machine Template matching Filter Computer vision Vision Imaging
80	1 A robust FFAST framework for computing a k -sparse n-length DFT in O(k log n) sample complexity using sparse-graph codes Add to Reading List Source URL: basics.eecs.berkeley.edu Language: English - Date: 2014-04-30 20:47:25 Algebra Digital signal processing Discrete Fourier transform Fast Fourier transform DFT matrix Window function Fourier transform Vector space Mathematical analysis Fourier analysis Mathematics

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