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## Search the dblp DataBase
Michael W. Mahoney:
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## Publications of Author- Petros Drineas, Michael W. Mahoney, S. Muthukrishnan
**Subspace Sampling and Relative-Error Matrix Approximation: Column-Based Methods.**[Citation Graph (0, 0)][DBLP] APPROX-RANDOM, 2006, pp:316-326 [Conf] - Petros Drineas, Michael W. Mahoney
**Approximating a Gram Matrix for Improved Kernel-Based Learning.**[Citation Graph (0, 0)][DBLP] COLT, 2005, pp:323-337 [Conf] - Petros Drineas, Michael W. Mahoney, S. Muthukrishnan
**Subspace Sampling and Relative-Error Matrix Approximation: Column-Row-Based Methods.**[Citation Graph (0, 0)][DBLP] ESA, 2006, pp:304-314 [Conf] - Ravi Kannan, Michael W. Mahoney, Ravi Montenegro
**Rapid Mixing of Several Markov Chains for a Hard-Core Model.**[Citation Graph (0, 0)][DBLP] ISAAC, 2003, pp:663-675 [Conf] - Michael W. Mahoney, Mauro Maggioni, Petros Drineas
**Tensor-CUR decompositions for tensor-based data.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:327-336 [Conf] - Petros Drineas, Michael W. Mahoney, S. Muthukrishnan
**Sampling algorithms for**[Citation Graph (0, 0)][DBLP]*l*_{2}regression and applications. SODA, 2006, pp:1127-1136 [Conf] - Petros Drineas, Ravi Kannan, Michael W. Mahoney
**Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms.**[Citation Graph (0, 0)][DBLP] STACS, 2005, pp:57-68 [Conf] - Petros Drineas, Michael W. Mahoney
**Randomized Algorithms for Matrices and Massive Data Sets.**[Citation Graph (0, 0)][DBLP] VLDB, 2006, pp:1269- [Conf] - Petros Drineas, Michael W. Mahoney
**On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:2153-2175 [Journal] - Andreas Frommer, Michael W. Mahoney, Daniel B. Szyld
**07071 Report on Dagstuhl Seminar -- Web Information Retrieval and Linear Algebra Algorithms.**[Citation Graph (0, 0)][DBLP] Web Information Retrieval and Linear Algebra Algorithms, 2007, pp:- [Conf] - Andreas Frommer, Michael W. Mahoney, Daniel B. Szyld
**07071 Abstracts Collection -- Web Information Retrieval and Linear Algebra Algorithms.**[Citation Graph (0, 0)][DBLP] Web Information Retrieval and Linear Algebra Algorithms, 2007, pp:- [Conf] - Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney
**Feature selection methods for text classification.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:230-239 [Conf] - Anirban Dasgupta, Petros Drineas, Boulos Harb, Ravi Kumar, Michael W. Mahoney
**Sampling Algorithms and Coresets for Lp Regression**[Citation Graph (0, 0)][DBLP] CoRR, 2007, v:0, n:, pp:- [Journal] - Petros Drineas, Michael W. Mahoney, S. Muthukrishnan
**Relative-Error CUR Matrix Decompositions**[Citation Graph (0, 0)][DBLP] CoRR, 2007, v:0, n:, pp:- [Journal] - Petros Drineas, Michael W. Mahoney, S. Muthukrishnan, Tamás Sarlós
**Faster Least Squares Approximation**[Citation Graph (0, 0)][DBLP] CoRR, 2007, v:0, n:, pp:- [Journal] - Petros Drineas, Ravi Kannan, Michael W. Mahoney
**Fast Monte Carlo Algorithms for Matrices II: Computing a Low-Rank Approximation to a Matrix.**[Citation Graph (0, 0)][DBLP] SIAM J. Comput., 2006, v:36, n:1, pp:158-183 [Journal] - Petros Drineas, Ravi Kannan, Michael W. Mahoney
**Fast Monte Carlo Algorithms for Matrices III: Computing a Compressed Approximate Matrix Decomposition.**[Citation Graph (0, 0)][DBLP] SIAM J. Comput., 2006, v:36, n:1, pp:184-206 [Journal] - Petros Drineas, Ravi Kannan, Michael W. Mahoney
**Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication.**[Citation Graph (0, 0)][DBLP] SIAM J. Comput., 2006, v:36, n:1, pp:132-157 [Journal] **Unsupervised feature selection for principal components analysis.**[Citation Graph (, )][DBLP]**Sampling algorithms and coresets for ℓ**[Citation Graph (, )][DBLP]_{p}regression.**An improved approximation algorithm for the column subset selection problem.**[Citation Graph (, )][DBLP]**Empirical Evaluation of Graph Partitioning Using Spectral Embeddings and Flow.**[Citation Graph (, )][DBLP]**Statistical properties of community structure in large social and information networks.**[Citation Graph (, )][DBLP]**Empirical comparison of algorithms for network community detection.**[Citation Graph (, )][DBLP]**Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters**[Citation Graph (, )][DBLP]**Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008**[Citation Graph (, )][DBLP]**An Improved Approximation Algorithm for the Column Subset Selection Problem**[Citation Graph (, )][DBLP]**Learning with Spectral Kernels and Heavy-Tailed Data**[Citation Graph (, )][DBLP]**A Spectral Algorithm for Improving Graph Partitions**[Citation Graph (, )][DBLP]**Empirical Comparison of Algorithms for Network Community Detection**[Citation Graph (, )][DBLP]**Effective Resistances, Statistical Leverage, and Applications to Linear Equation Solving**[Citation Graph (, )][DBLP]
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