-
1
-
-
85135939782
-
2,1- norms minimization
-
2,1-norms minimization," NIPS, vol. 23, pp. 1813-1821, 2010.
-
(2010)
NIPS
, vol.23
, pp. 1813-1821
-
-
Nie, F.1
Huang, H.2
Cai, X.3
Ding, C.4
-
2
-
-
77955397866
-
Local-learning-based feature selection for high-dimensional data analysis
-
Y. Sun, S. Todorovic, and S. Goodison, "Local-learning-based feature selection for high-dimensional data analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 9, pp. 1610-1626, 2010.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1610-1626
-
-
Sun, Y.1
Todorovic, S.2
Goodison, S.3
-
3
-
-
84864039505
-
Laplacian score for feature selection
-
X. He, D. Cai, and p. Niyogi, "Laplacian score for feature selection," NIPS, vol. 18, pp. 507-514, 2006.
-
(2006)
NIPS
, vol.18
, pp. 507-514
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
6
-
-
77956216411
-
Unsupervised feature selection for multi-cluster data
-
D. Cai, C. Zhang, and X. He, "Unsupervised feature selection for multi-cluster data," in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge discovery and data mining. ACM, 2010, pp. 333-342.
-
(2010)
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM
, pp. 333-342
-
-
Cai, D.1
Zhang, C.2
He, X.3
-
7
-
-
77958565426
-
Efficient spectral feature selection with minimum redundancy
-
Z. Zhao, L. Wang, and H. Liu, "Efficient spectral feature selection with minimum redundancy," in Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010, pp. 673-678.
-
(2010)
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence
, pp. 673-678
-
-
Zhao, Z.1
Wang, L.2
Liu, H.3
-
8
-
-
84870535269
-
Joint feature selection and subspace learning
-
Q. Gu, Z. Li, and J. Han, "Joint feature selection and subspace learning," in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 2011, pp. 1294-1299.
-
(2011)
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
, pp. 1294-1299
-
-
Gu, Q.1
Li, Z.2
Han, J.3
-
10
-
-
84866678530
-
Feature selection via joint embedding learning and sparse regression
-
C. Hou, F. Nie, D. Yi, and Y. Wu, "Feature selection via joint embedding learning and sparse regression," in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 2011, pp. 1324-1329.
-
(2011)
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
, pp. 1324-1329
-
-
Hou, C.1
Nie, F.2
Yi, D.3
Wu, Y.4
-
11
-
-
84880024790
-
Joint clustering and feature selection
-
Springer
-
L. Du and Y.-D. Shen, "Joint clustering and feature selection," in Web-Age Information Management. Springer, 2013, pp. 241-252.
-
(2013)
Web-Age Information Management.
, pp. 241-252
-
-
Du, L.1
Shen, Y.-D.2
-
13
-
-
84900675076
-
Diffrac: A discriminative and flexible framework for clustering
-
F. Bach and Z. Harchaoui, "Diffrac: a discriminative and flexible framework for clustering," NIPS, vol. 20, 2007.
-
(2007)
NIPS
, vol.20
-
-
Bach, F.1
Harchaoui, Z.2
-
14
-
-
77956978821
-
Image clustering using local discriminant models and global integration
-
Y. Yang, D. Xu, F. Nie, S. Yan, and Y. Zhuang, "Image clustering using local discriminant models and global integration," IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2761-2773, 2010.
-
(2010)
IEEE Transactions on Image Processing
, vol.19
, Issue.10
, pp. 2761-2773
-
-
Yang, Y.1
Xu, D.2
Nie, F.3
Yan, S.4
Zhuang, Y.5
-
15
-
-
78650985668
-
Discriminative codeword selection for image representation
-
L. Zhang, C. Chen, J. Bu, Z. Chen, S. Tan, and X. He, "Discriminative codeword selection for image representation," in Proceedings of the International Conference on Multimedia. ACM, 2010, pp. 173-182.
-
(2010)
Proceedings of the International Conference on Multimedia. ACM
, pp. 173-182
-
-
Zhang, L.1
Chen, C.2
Bu, J.3
Chen, Z.4
Tan, S.5
He, X.6
-
16
-
-
0141990695
-
Theoretical and empirical analysis of relieff and rrelieff
-
M. Robnik-Šikonja and I. Kononenko, "Theoretical and empirical analysis of relieff and rrelieff," Machine learning, vol. 53, no. 1, pp. 23-69, 2003.
-
(2003)
Machine Learning
, vol.53
, Issue.1
, pp. 23-69
-
-
Robnik-Šikonja, M.1
Kononenko, I.2
-
18
-
-
3242708140
-
Least angle regression
-
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," The Annals of statistics, vol. 32, no. 2, pp. 407-499, 2004.
-
(2004)
The Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
19
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, "Gene selection for cancer classification using support vector machines," Machine learning, vol. 46, no. 1, pp. 389-422, 2002.
-
(2002)
Machine Learning
, vol.46
, Issue.1
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
20
-
-
85135939782
-
2,1- norms minimization
-
2,1-norms minimization," NIPS, vol. 23, pp. 1813-1821, 2010.
-
(2010)
NIPS
, vol.23
, pp. 1813-1821
-
-
Nie, F.1
Huang, H.2
Cai, X.3
Ding, C.4
-
21
-
-
27844550205
-
Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach
-
L. Wolf and A. Shashua, "Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach," The Journal of Machine Learning Research, vol. 6, pp. 1855-1887, 2005.
-
(2005)
The Journal of Machine Learning Research
, vol.6
, pp. 1855-1887
-
-
Wolf, L.1
Shashua, A.2
-
22
-
-
84864040410
-
A local learning approach for clustering
-
M. Wu and B. Schölkopf, "A local learning approach for clustering," NIPS, vol. 19, pp. 1529-1536, 2007.
-
(2007)
NIPS
, vol.19
, pp. 1529-1536
-
-
Wu, M.1
Schölkopf, B.2
-
23
-
-
84899013108
-
On spectral clustering: Analysis and an algorithm
-
A. Ng, M. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," NIPS, vol. 2, pp. 849-856, 2002.
-
(2002)
NIPS
, vol.2
, pp. 849-856
-
-
Ng, A.1
Jordan, M.2
Weiss, Y.3
-
24
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
25
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
J. Tenenbaum, V. De Silva, and J. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.1
De Silva, V.2
Langford, J.3
-
26
-
-
80051962608
-
A variance minimization criterion to feature selection using laplacian regularization
-
X. He, M. Ji, C. Zhang, and H. Bao, "A variance minimization criterion to feature selection using laplacian regularization," IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 99, pp. 2013-2025, 2011.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.99
, pp. 2013-2025
-
-
He, X.1
Ji, M.2
Zhang, C.3
Bao, H.4
-
27
-
-
70350629880
-
Clustering with local and global regularization
-
F. Wang, C. Zhang, and T. Li, "Clustering with local and global regularization," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 12, pp. 1665-1678, 2009.
-
(2009)
IEEE Transactions on Knowledge and Data Engineering
, vol.21
, Issue.12
, pp. 1665-1678
-
-
Wang, F.1
Zhang, C.2
Li, T.3
-
28
-
-
78049383727
-
Spectral embedded clustering
-
F. Nie, D. Xu, I. Tsang, and C. Zhang, "Spectral embedded clustering," in Proceedings of the 21st International Joint Conference on Artifical intelligence, 2009, pp. 1181-1186.
-
(2009)
Proceedings of the 21st International Joint Conference on Artifical Intelligence
, pp. 1181-1186
-
-
Nie, F.1
Xu, D.2
Tsang, I.3
Zhang, C.4
-
29
-
-
84864063089
-
Multi-task feature learning
-
A. Evgeniou and M. Pontil, "Multi-task feature learning," in NIPS, vol. 19, 2007, pp. 41-48.
-
(2007)
NIPS
, vol.19
, pp. 41-48
-
-
Evgeniou, A.1
Pontil, M.2
-
31
-
-
79959501613
-
Feature selection and kernel learning for local learning-based clustering
-
H. Zeng and Y. Cheung, "Feature selection and kernel learning for local learning-based clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 8, pp. 1532-1547, 2011.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.8
, pp. 1532-1547
-
-
Zeng, H.1
Cheung, Y.2
|