-
1
-
-
84866014378
-
-
http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.
-
-
-
-
3
-
-
26244461684
-
Clustering with bregman divergences
-
December
-
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh. Clustering with bregman divergences. J. Mach. Learn. Res., 6:1705-1749, December 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.S.3
Ghosh, J.4
-
4
-
-
80053013888
-
Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
-
P. Breheny and J. Huang. Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection. Annals of Applied Statistics, 5(1):232-253, 2011.
-
(2011)
Annals of Applied Statistics
, vol.5
, Issue.1
, pp. 232-253
-
-
Breheny, P.1
Huang, J.2
-
5
-
-
74449093261
-
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
-
A. Cichocki and A.-H. Phan. Fast local algorithms for large scale nonnegative matrix and tensor factorizations. IEICE Transactions on Fundamentals of Electronics, 92:708-721, 2009.
-
(2009)
IEICE Transactions on Fundamentals of Electronics
, vol.92
, pp. 708-721
-
-
Cichocki, A.1
Phan, A.-H.2
-
6
-
-
38049090241
-
-
tech. rep, Laboratory for Advanced Brain Signal Processing, Saitama, Japan, BSI, RIKEN
-
A. Cichocki and R. Zdunek. Nmflab for signal and image processing. In tech. rep, Laboratory for Advanced Brain Signal Processing, Saitama, Japan, 2006. BSI, RIKEN.
-
(2006)
Nmflab for Signal and Image Processing
-
-
Cichocki, A.1
Zdunek, R.2
-
8
-
-
84864031935
-
Generalized nonnegative matrix approximations with bregman divergences
-
I. S. Dhillon and S. Sra. Generalized nonnegative matrix approximations with bregman divergences. In Neural Information Proc. Systems, pages 283-290, 2005.
-
(2005)
Neural Information Proc. Systems
, pp. 283-290
-
-
Dhillon, I.S.1
Sra, S.2
-
9
-
-
41249089920
-
On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing
-
April
-
C. Ding, T. Li, and W. Peng. On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing. Comput. Stat. Data Anal., 52:3913-3927, April 2008.
-
(2008)
Comput. Stat. Data Anal.
, vol.52
, pp. 3913-3927
-
-
Ding, C.1
Li, T.2
Peng, W.3
-
10
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
J. Fan and R. Li. Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96(456).
-
Journal of the American Statistical Association
, vol.96
, Issue.456
-
-
Fan, J.1
Li, R.2
-
11
-
-
63249085556
-
Nonnegative matrix factorization with the itakura-saito divergence: With application to music analysis
-
March
-
C. Fevotte, N. Bertin, and J.-L. Durrieu. Nonnegative matrix factorization with the itakura-saito divergence: With application to music analysis. Neural Comput., 21:793-830, March 2009.
-
(2009)
Neural Comput.
, vol.21
, pp. 793-830
-
-
Fevotte, C.1
Bertin, N.2
Durrieu, J.-L.3
-
12
-
-
39449126969
-
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
-
M. Figueiredo, R. Nowak, and S. J. Wright. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE J. of Selected Topics in Signal Proc, 1:586-598, 2007.
-
(2007)
IEEE J. of Selected Topics in Signal Proc
, vol.1
, pp. 586-598
-
-
Figueiredo, M.1
Nowak, R.2
Wright, S.J.3
-
13
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
J. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 1 2010.
-
(2010)
Journal of Statistical Software
, vol.33
, Issue.1
, pp. 1
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
14
-
-
84861111031
-
Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization
-
4
-
N. Gillis and F. Glineur. Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization. Neural Comput., 24(4):1085-1105, 4 2012.
-
(2012)
Neural Comput.
, vol.24
, Issue.4
, pp. 1085-1105
-
-
Gillis, N.1
Glineur, F.2
-
16
-
-
85026972772
-
Probabilistic latent semantic indexing
-
New York, NY, USA, ACM
-
T. Hofmann. Probabilistic latent semantic indexing. In SIGIR '99, pages 50-57, New York, NY, USA, 1999. ACM.
-
(1999)
SIGIR '99
, pp. 50-57
-
-
Hofmann, T.1
-
17
-
-
80052651461
-
Fast coordinate descent methods with variable selection for non-negative matrix factorization
-
New York, NY, USA, ACM
-
C.-J. Hsieh and I. S. Dhillon. Fast coordinate descent methods with variable selection for non-negative matrix factorization. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pages 1064-1072, New York, NY, USA, 2011. ACM.
-
(2011)
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '11
, pp. 1064-1072
-
-
Hsieh, C.-J.1
Dhillon, I.S.2
-
18
-
-
85162490550
-
Sparse inverse covariance matrix estimation using quadratic approximation
-
C.-J. Hsieh, M. A. Sustik, I. S. Dhillon, and P. Ravikumar. Sparse inverse covariance matrix estimation using quadratic approximation. In Advances in Neural Information Processing Systems 24, pages 2330-2338, 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2330-2338
-
-
Hsieh, C.-J.1
Sustik, M.A.2
Dhillon, I.S.3
Ravikumar, P.4
-
19
-
-
34547844077
-
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis
-
June
-
H. Kim and H. Park. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Bioinformatics, 23:1495-1502, June 2007.
-
(2007)
Bioinformatics
, vol.23
, pp. 1495-1502
-
-
Kim, H.1
Park, H.2
-
20
-
-
67349093319
-
Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
-
July
-
H. Kim and H. Park. Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM J. Matrix Anal. Appl., 30:713-730, July 2008.
-
(2008)
SIAM J. Matrix Anal. Appl.
, vol.30
, pp. 713-730
-
-
Kim, H.1
Park, H.2
-
22
-
-
67049160153
-
Toward faster nonnegative matrix factorization: A new algorithm and comparisons
-
0
-
J. Kim and H. Park. Toward faster nonnegative matrix factorization: A new algorithm and comparisons. IEEE International Conference on Data Mining, 0:353-362, 2008.
-
(2008)
IEEE International Conference on Data Mining
, pp. 353-362
-
-
Kim, J.1
Park, H.2
-
23
-
-
84863012243
-
Fast nonnegative matrix factorization: An active-set-like method and comparisons
-
J. Kim and H. Park. Fast nonnegative matrix factorization: An active-set-like method and comparisons. In SIAM Journal on Scientific Computing, 2011.
-
(2011)
SIAM Journal on Scientific Computing
-
-
Kim, J.1
Park, H.2
-
24
-
-
17744372741
-
Axiomatic geometry of conditional models
-
April
-
G. Lebanon. Axiomatic geometry of conditional models. Information Theory, IEEE Transactions, 51:1283-1294, April 2005.
-
(2005)
Information Theory, IEEE Transactions
, vol.51
, pp. 1283-1294
-
-
Lebanon, G.1
-
25
-
-
0001093042
-
Algorithms for non-negative matrix factorization
-
MIT Press
-
D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In NIPS, pages 556-562. MIT Press, 2000.
-
(2000)
NIPS
, pp. 556-562
-
-
Lee, D.D.1
Seung, H.S.2
-
26
-
-
77956506829
-
Coordinate descent optimization for l1 minimization with application to compressed sensing; a greedy algorithm
-
Y. Li and S. Osher. Coordinate descent optimization for l1 minimization with application to compressed sensing; a greedy algorithm. Inverse Probl. Imaging, 3(3).
-
Inverse Probl. Imaging
, vol.3
, Issue.3
-
-
Li, Y.1
Osher, S.2
-
27
-
-
35548969471
-
Projected gradient methods for non-negative matrix factorization
-
October
-
C.-J. Lin. Projected gradient methods for non-negative matrix factorization. Neural Computation, 19:2756-2779, October 2007.
-
(2007)
Neural Computation
, vol.19
, pp. 2756-2779
-
-
Lin, C.-J.1
-
28
-
-
85016508365
-
Automatic evaluation of summaries using n-gram co-occurrence statistics
-
Morristown, NJ, USA, Association for Computational Linguistics
-
C. Y. Lin and E. Hovy. Automatic evaluation of summaries using n-gram co-occurrence statistics. In NAACL, pages 71-78, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
-
(2003)
NAACL
, pp. 71-78
-
-
Lin, C.Y.1
Hovy, E.2
-
30
-
-
0004027463
-
-
Technical report, School of Computer Science, Carnegie Mellon University
-
S. D. Pietra, V. D. Pietra, and J. Lafferty. Duality and auxiliary functions for bregman distances. Technical report, School of Computer Science, Carnegie Mellon University, 2002.
-
(2002)
Duality and Auxiliary Functions for Bregman Distances
-
-
Pietra, S.D.1
Pietra, V.D.2
Lafferty, J.3
-
31
-
-
56049086197
-
A unified view of matrix factorization models
-
Berlin, Heidelberg, Springer-Verlag
-
A. P. Singh and G. J. Gordon. A unified view of matrix factorization models. In Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II, ECML PKDD '08, pages 358-373, Berlin, Heidelberg, 2008. Springer-Verlag.
-
(2008)
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases - Part II, ECML PKDD '08
, pp. 358-373
-
-
Singh, A.P.1
Gordon, G.J.2
-
33
-
-
84863879353
-
Coordinate descent algorithms for lasso penalized regression
-
T. Wu and K. Lange. Coordinate descent algorithms for lasso penalized regression. The Annals of Applied Statistics, 2(1):224-244, 2008.
-
(2008)
The Annals of Applied Statistics
, vol.2
, Issue.1
, pp. 224-244
-
-
Wu, T.1
Lange, K.2
-
34
-
-
79955559521
-
A coordinate gradient descent method for l1-regularized convex minimization
-
S. Yun and K.-C. Toh. A coordinate gradient descent method for l1-regularized convex minimization. Computational Optimization and Applications, 48(2).
-
Computational Optimization and Applications
, vol.48
, Issue.2
-
-
Yun, S.1
Toh, K.-C.2
|