-
1
-
-
55149088329
-
Convex multi-task feature learning
-
A. Argyriou, T. Evgeniou, and M. Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
2
-
-
33749246419
-
Efficient co-regularised least squares regression
-
U. Brefeld, T. Gärtner, T. Scheffer, and S. Wrobel. Efficient co-regularised least squares regression. In Proceedings of the 23rd international conference on Machine learning, pages 137-144, 2006.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 137-144
-
-
Brefeld, U.1
Gärtner, T.2
Scheffer, T.3
Wrobel, S.4
-
3
-
-
84863167108
-
2;1-norm support vector machine
-
X. Cai, F. Nie, H. Huang, and C. Ding. Multiclass ℓ2;1-norm support vector machine. In IEEE 11th International Conference on Data Mining, pages 91-100, 2011.
-
(2011)
IEEE 11th International Conference on Data Mining
, pp. 91-100
-
-
Cai, X.1
Nie, F.2
Huang, H.3
Ding, C.4
-
5
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. The Journal of Machine Learning Research, 2:265-292, 2002.
-
(2002)
The Journal of Machine Learning Research
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
8
-
-
50949133669
-
Liblinear: A library for large linear classification
-
R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. Liblinear: A library for large linear classification. The Journal of Machine Learning Research, 9:1871-1874, 2008.
-
(2008)
The Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.E.1
Chang, K.W.2
Hsieh, C.J.3
Wang, X.R.4
Lin, C.J.5
-
9
-
-
80055039401
-
A feasible nonconvex relaxation approach to feature selection
-
C. Gao, N. Wang, Q. Yu, and Z. Zhang. A feasible nonconvex relaxation approach to feature selection. In Twenty-Fifth AAAI Conference on Artificial Intelligence, pages 356-361, 2011.
-
(2011)
Twenty-Fifth AAAI Conference on Artificial Intelligence
, pp. 356-361
-
-
Gao, C.1
Wang, N.2
Yu, Q.3
Zhang, Z.4
-
10
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):643-660, 2001.
-
(2001)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.S.1
Belhumeur, P.N.2
Kriegman, D.J.3
-
11
-
-
84942484786
-
Ridge regression: Biased estimation for nonorthogonal problems
-
A.E. Hoerl and R.W. Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12(1):55-67, 1970.
-
(1970)
Technometrics
, vol.12
, Issue.1
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
14
-
-
84871363788
-
Knowledge adaptation for ad hoc multimedia event detection with few exemplars
-
ACM
-
Z. Ma, Y. Yang, Y. Cai, N. Sebe, and A. Hauptmann. Knowledge adaptation for ad hoc multimedia event detection with few exemplars. In Proceedings of the 20th ACM international conference on Multimedia, pages 469-478. ACM, 2012.
-
(2012)
Proceedings of the 20th ACM International Conference on Multimedia
, pp. 469-478
-
-
Ma, Z.1
Yang, Y.2
Cai, Y.3
Sebe, N.4
Hauptmann, A.5
-
15
-
-
85135939782
-
Efficient and robust feature selection via joint 2;1-norms minimization
-
F. Nie, H. Huang, X. Cai, and C. Ding. Efficient and robust feature selection via joint 2;1-norms minimization. Advances in Neural Information Processing Systems, 23:1813- 1821, 2010.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 1813-1821
-
-
Nie, F.1
Huang, H.2
Cai, X.3
Ding, C.4
-
19
-
-
0038137315
-
Ensemble feature selection with the simple bayesian classification
-
A. Tsymbal, S. Puuronen, and D.W. Patterson. Ensemble feature selection with the simple bayesian classification. Information Fusion, 4(2):87-100, 2003.
-
(2003)
Information Fusion
, vol.4
, Issue.2
, pp. 87-100
-
-
Tsymbal, A.1
Puuronen, S.2
Patterson, D.W.3
-
21
-
-
84881041271
-
2;1-norm regularized discriminative feature selection for unsupervised learning
-
Y. Yang, H.T. Shen, Z. Ma, Z. Huang, and X. Zhou. 2;1-norm regularized discriminative feature selection for unsupervised learning. In Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, pages 1589-1594, 2011.
-
(2011)
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
, pp. 1589-1594
-
-
Yang, Y.1
Shen, H.T.2
Ma, Z.3
Huang, Z.4
Zhou, X.5
-
22
-
-
84897584116
-
Feature selection for multimedia analysis by sharing information among multiple tasks
-
Y. Yang, Z. Ma, A. Hauptmann, and N. Sebe. Feature selection for multimedia analysis by sharing information among multiple tasks. IEEE Transactions on Multimedia, 15(3):661-669, 2013.
-
(2013)
IEEE Transactions on Multimedia
, vol.15
, Issue.3
, pp. 661-669
-
-
Yang, Y.1
Ma, Z.2
Hauptmann, A.3
Sebe, N.4
-
24
-
-
84864028262
-
Multiinstance multi-label learning with application to scene classification
-
Z.H. Zhou and M.L. Zhang. Multiinstance multi-label learning with application to scene classification. Advances in Neural Information Processing Systems, 19:1609-1616, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 1609-1616
-
-
Zhou, Z.H.1
Zhang, M.L.2
|