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Petros Drineas
Petros Drineas
Professor, Computer Science Department, Purdue University
E-mail confirmado em purdue.edu - Página inicial
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On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning.
P Drineas, MW Mahoney, N Cristianini
journal of machine learning research 6 (12), 2005
11862005
CUR matrix decompositions for improved data analysis
MW Mahoney, P Drineas
Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009
10572009
Clustering large graphs via the singular value decomposition
P Drineas, A Frieze, R Kannan, S Vempala, V Vinay
Machine learning 56, 9-33, 2004
7182004
Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix
P Drineas, R Kannan, MW Mahoney
SIAM Journal on computing 36 (1), 158-183, 2006
6932006
Fast approximation of matrix coherence and statistical leverage
P Drineas, M Magdon-Ismail, MW Mahoney, DP Woodruff
The Journal of Machine Learning Research 13 (1), 3475-3506, 2012
6362012
Relative-error CUR matrix decompositions
P Drineas, MW Mahoney, S Muthukrishnan
SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008
6342008
Fast Monte Carlo algorithms for matrices I: Approximating matrix multiplication
P Drineas, R Kannan, MW Mahoney
SIAM Journal on Computing 36 (1), 132-157, 2006
5992006
Faster least squares approximation
P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós
Numerische mathematik 117 (2), 219-249, 2011
5912011
An improved approximation algorithm for the column subset selection problem
C Boutsidis, MW Mahoney, P Drineas
Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009
4982009
Sampling algorithms for l2 regression and applications
P Drineas, MW Mahoney, S Muthukrishnan
Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete …, 2006
4712006
Fast Monte Carlo algorithms for matrices III: Computing a compressed approximate matrix decomposition
P Drineas, R Kannan, MW Mahoney
SIAM Journal on Computing 36 (1), 184-206, 2006
4012006
PCA-correlated SNPs for structure identification in worldwide human populations
P Paschou, E Ziv, EG Burchard, S Choudhry, W Rodriguez-Cintron, ...
PLoS genetics 3 (9), e160, 2007
3652007
RandNLA: randomized numerical linear algebra
P Drineas, MW Mahoney
Communications of the ACM 59 (6), 80-90, 2016
3352016
Near-optimal column-based matrix reconstruction
C Boutsidis, P Drineas, M Magdon-Ismail
SIAM Journal on Computing 43 (2), 687-717, 2014
3232014
Randomized Dimensionality Reduction for-Means Clustering
C Boutsidis, A Zouzias, MW Mahoney, P Drineas
IEEE Transactions on Information Theory 61 (2), 1045-1062, 2014
2882014
Feature selection methods for text classification
A Dasgupta, P Drineas, B Harb, V Josifovski, MW Mahoney
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2672007
Clustering in Large Graphs and Matrices.
P Drineas, AM Frieze, R Kannan, SS Vempala, V Vinay
SODA 99, 291-299, 1999
2621999
Atomic-level characterization of the ensemble of the Aβ (1–42) monomer in water using unbiased molecular dynamics simulations and spectral algorithms
NG Sgourakis, M Merced-Serrano, C Boutsidis, P Drineas, Z Du, C Wang, ...
Journal of molecular biology 405 (2), 570-583, 2011
2472011
Energy minimization via graph cuts: Settling what is possible
D Freedman, P Drineas
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
2382005
Unsupervised Feature Selection for the -means Clustering Problem
C Boutsidis, P Drineas, MW Mahoney
Advances in neural information processing systems 22, 2009
2232009
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