-
1
-
-
84862609231
-
Computing a nonnegative matrix factorization - Provably
-
S. Arora, R. Ge, R. Kannan, and A. Moitra. Computing a nonnegative matrix factorization - provably. In STOC, 2012.
-
(2012)
STOC
-
-
Arora, S.1
Ge, R.2
Kannan, R.3
Moitra, A.4
-
2
-
-
78650786262
-
Gradient-based algorithms with applications to signal recovery problems
-
Camb. Univ. Press
-
A. Beck and M. Teboulle. Gradient-based algorithms with applications to signal recovery problems. Convex Opt. in Sig. Proc. Comm., Camb. Univ. Press, 2010.
-
(2010)
Convex Opt. in Sig. Proc. Comm.
-
-
Beck, A.1
Teboulle, M.2
-
4
-
-
0141607824
-
Latent dirichlet allocation
-
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent dirichlet allocation. JMLR, 3:993-1022, 2003.
-
(2003)
JMLR
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
7
-
-
85030321143
-
Mapreduce: Simplified data processing on large clusters
-
J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In OSDI, 2004.
-
(2004)
OSDI
-
-
Dean, J.1
Ghemawat, S.2
-
8
-
-
56449092085
-
Efficient projections onto the l1-ball for learning in high dimensions
-
J. Duchi, S. S. Schwartz, Y. Singer, and T. Chandra. Efficient projections onto the l1-ball for learning in high dimensions. In ICML, 2008.
-
(2008)
ICML
-
-
Duchi, J.1
Schwartz, S.S.2
Singer, Y.3
Chandra, T.4
-
10
-
-
80052651384
-
Nimble: A toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce
-
A. Ghoting, P. Kambadur, E. Pednault, and R. Kannan. Nimble: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. In KDD, 2011.
-
(2011)
KDD
-
-
Ghoting, A.1
Kambadur, P.2
Pednault, E.3
Kannan, R.4
-
11
-
-
79957859069
-
Declarative machine learning on mapreduce
-
A. Ghoting, R. Krishnamurthy, E. Pednault, B. Reinwald, V. Sindhwani, S. Tatikonda, Y. Tian, and S. Vaithyanathan. Declarative machine learning on mapreduce. In ICDE, 2011.
-
(2011)
ICDE
-
-
Ghoting, A.1
Krishnamurthy, R.2
Pednault, E.3
Reinwald, B.4
Sindhwani, V.5
Tatikonda, S.6
Tian, Y.7
Vaithyanathan, S.8
-
12
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. Hoyer. Non-negative matrix factorization with sparseness constraints. JMLR, 5:1457-1469, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.1
-
13
-
-
77956506018
-
Proximal methods for sparse hierarchical dictionary learning
-
R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal methods for sparse hierarchical dictionary learning. In ICML, 2010.
-
(2010)
ICML
-
-
Jenatton, R.1
Mairal, J.2
Obozinski, G.3
Bach, F.4
-
14
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 1999.
-
(1999)
Nature
-
-
Lee, D.D.1
Seung, H.S.2
-
15
-
-
77954604765
-
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
-
C. Liu, H. Yang, J. Fan, L. He, and Y. Wang. Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce. In WWW, 2010.
-
(2010)
WWW
-
-
Liu, C.1
Yang, H.2
Fan, J.3
He, L.4
Wang, Y.5
-
16
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. JMLR, 11:19-60, 2010.
-
(2010)
JMLR
, vol.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
18
-
-
80052119994
-
An architecture for parallel topic models
-
A. Smola and S. Narayanamurthy. An architecture for parallel topic models. In VLDB, 2010.
-
(2010)
IVLDB
-
-
Smola, A.1
Narayanamurthy, S.2
-
19
-
-
85162409960
-
Learning sparse representations of high-dimensional data on large-scale dictionaries
-
Z. J. Xiang, H. Xu, and P. J. Ramadge. Learning sparse representations of high-dimensional data on large-scale dictionaries. In NIPS, 2011.
-
(2011)
NIPS
-
-
Xiang, Z.J.1
Xu, H.2
Ramadge, P.J.3
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