-
1
-
-
55149088329
-
Convex multi-task feature learning
-
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil, Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil. Convex multi-task feature learning. In Machine Learning, 2008.
-
(2008)
Machine Learning
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
Argyriou, A.4
Evgeniou, T.5
Pontil, M.6
-
2
-
-
77956216411
-
Unsupervised feature selection for multi-cluster data
-
Deng Cai, Chiyuan Zhang, and Xiaofei He. Unsupervised feature selection for multi-cluster data. KDD, 2010.
-
(2010)
KDD
-
-
Cai, D.1
Zhang, C.2
He, X.3
-
3
-
-
0003922190
-
-
John Wiley & Sons, New York, USA
-
R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification (2nd Edition). John Wiley & Sons, New York, USA, 2001.
-
(2001)
Pattern Classification (2nd Edition)
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
5
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE TPAMI, page 23(6):643660, 2001.
-
(2001)
IEEE TPAMI
, vol.23
, Issue.6
, pp. 643660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
6
-
-
84864039505
-
Laplacian score for feature selection
-
Xiaofei He, Deng Cai, and Partha Niyogi. Laplacian score for feature selection. NIPS, 2005.
-
(2005)
NIPS
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
9
-
-
57749182885
-
Trace ratio criterion for feature selection
-
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, and Shuicheng Yan. Trace ratio criterion for feature selection. In AAAI, 2008.
-
(2008)
AAAI
-
-
Nie, F.1
Xiang, S.2
Jia, Y.3
Zhang, C.4
Yan, S.5
-
11
-
-
77958606724
-
Highdimensional union support recovery in multivariate regression
-
G. Obozinski, M. J. Wainwright, and M. I. Jordan. Highdimensional union support recovery in multivariate regression. In NIPS, 2008.
-
(2008)
NIPS
-
-
Obozinski, G.1
Wainwright, M.J.2
Jordan, M.I.3
-
12
-
-
14544286039
-
The humanid gait challenge problem: Data sets, performance, and analysis
-
S. Sarkar, P.J. Phillips, Z. Liu, I.R. Vega, P. Grother, and K.W. Bowyer. The humanid gait challenge problem: data sets, performance, and analysis. IEEE TPAMI, pages 27(2):162-177, 2005.
-
(2005)
IEEE TPAMI
, vol.27
, Issue.2
, pp. 162-177
-
-
Sarkar, S.1
Phillips, P.J.2
Liu, Z.3
Vega, I.R.4
Grother, P.5
Bowyer, K.W.6
-
13
-
-
0041965980
-
Cluster ensembles - A knowledge reuse framework for combining multiple partitions
-
A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research, 3:583-617, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
14
-
-
33749237332
-
Local fisher discriminant analysis for supervised dimensionality reduction
-
Masashi Sugiyama. Local fisher discriminant analysis for supervised dimensionality reduction. In ICML, 2006.
-
(2006)
ICML
-
-
Sugiyama, M.1
-
15
-
-
79957966002
-
Local and global regressive mapping for manifold learning with out-of-sample extrapolation
-
Yi Yang, Feiping Nie, Shiming Xiang, Yueting Zhuang, and Wenhua Wang. Local and global regressive mapping for manifold learning with out-of-sample extrapolation. In AAAI, 2010.
-
(2010)
AAAI
-
-
Yang, Y.1
Nie, F.2
Xiang, S.3
Zhuang, Y.4
Wang, W.5
-
16
-
-
77956978821
-
Image clustering using local discriminant models and global integration
-
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, and Yueting Zhuang. Image clustering using local discriminant models and global integration. IEEE TIP, pages 19(10)2761-2773, 2010.
-
(2010)
IEEE TIP
, vol.19
, Issue.10
, pp. 2761-2773
-
-
Yang, Y.1
Xu, D.2
Nie, F.3
Yan, S.4
Zhuang, Y.5
-
17
-
-
80052904929
-
Tag localization with spatial correlations and joint group sparsity
-
Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, and Feiping Nie. Tag localization with spatial correlations and joint group sparsity. In CVPR, pages 881-888, 2011.
-
(2011)
CVPR
, pp. 881-888
-
-
Yang, Y.1
Yang, Y.2
Huang, Z.3
Shen, H.T.4
Nie, F.5
-
18
-
-
65149104302
-
Spectral feature selection for supervised and unsupervised learning
-
Zheng Zhao and Huan Liu. Spectral feature selection for supervised and unsupervised learning. In ICML, 2007.
-
(2007)
ICML
-
-
Zhao, Z.1
Liu, H.2
-
19
-
-
80052419636
-
Efficient spectral feature selection with minimum redundancy
-
Z. Zhao, L. Wang, and H. Liu. Efficient spectral feature selection with minimum redundancy. In AAAI, 2010.
-
(2010)
AAAI
-
-
Zhao, Z.1
Wang, L.2
Liu, H.3
|