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Low-rank approximation
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#	Item
21	Collective Matrix Factorization for Co-clustering Mrinmaya Sachan Shashank Srivastava Carnegie Mellon University Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:02 Algebra Mathematics Linear algebra Matrix theory Multivariate statistics Matrices Non-negative matrix factorization Numerical linear algebra Matrix Orthogonal matrix Low-rank approximation Biclustering
22	DFG-Schwerpunktprogramm 1324 Extraktion quantifizierbarer Information aus komplexen Systemen” ” Effcient low-rank approximation of the stochastic Galerkin matrix in tensor formats Add to Reading List Source URL: www.dfg-spp1324.de Language: English - Date: 2012-05-31 05:32:56
23	Microsoft PowerPoint - [Lecture 2] Sparse and Low-Rank Representation with Applications to Visual Content Analysis.pptx Add to Reading List Source URL: www.acml2014.jvn.edu.vn Language: English - Date: 2014-11-06 20:46:31 Numerical analysis Regression analysis Least squares Convex optimization Sparse approximation Mathematical optimization Operations research Mathematical analysis
24	Ensemble Nystr¨om Method Sanjiv Kumar Google Research New York, NY Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2012-04-04 18:04:32 Numerical linear algebra Econometrics Regression analysis Estimation theory Mathematical optimization Singular value decomposition Principal component analysis Low-rank approximation Linear regression Statistics Algebra Linear algebra
25	An Algorithm for Low-rank Approximation of Bivariate Functions using Splines I. Georgieva, C. Hofreither G+S Report No. 28 Mai 2015 Add to Reading List Source URL: www.gs.jku.at Language: English - Date: 2015-05-13 09:20:34
26	JMLR: Workshop and Conference Proceedings 34:64–78, 2014 Proceedings of the 12th ICGI Some improvements of the spectral learning approach for probabilistic grammatical inference Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-08-26 06:56:50 Numerical linear algebra Matrix theory Markov models Group theory Singular value decomposition Low-rank approximation Expectation–maximization algorithm Markov chain Vector space Algebra Mathematics Linear algebra
27	On differentially private low rank approximation Michael Kapralov∗ Kunal Talwar† October 3, 2012 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-09 10:13:50 Matrix theory Abstract algebra Numerical linear algebra Differential calculus Vector space Eigenvalues and eigenvectors Exponential mechanism Singular value decomposition Rayleigh quotient Algebra Mathematics Linear algebra
28	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2006-08-06 22:28:41 Regression analysis Numerical linear algebra Covariance and correlation Mathematical optimization Least squares Low-rank approximation Total least squares Covariance Singular value decomposition Statistics Algebra Mathematics
29	Fast approximation of matrix coherence and statistical leverage Petros Drineas Dept. of Computer Science, Rensselaer Polytechnic Institute, Troy, NYUSA Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-14 00:18:31 Numerical linear algebra Matrix theory Matrices Computational complexity theory Singular value decomposition Orthogonal matrix Matrix multiplication Randomized algorithm Low-rank approximation Algebra Linear algebra Mathematics
30	Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation∗ Mohit Sharma †, Jiayu Zhou ‡, Junling Hu‡ , George Karypis† Abstract Recommending new items to existing users has rem Add to Reading List Source URL: glaros.dtc.umn.edu Language: English - Date: 2015-04-14 08:16:45 Science Information retrieval Psychometrics Multivariate statistics Educational psychology Collaborative filtering Recommender system Factor analysis Low-rank approximation Statistics Information science Collective intelligence

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