-
1
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe, D.G. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
-
(2004)
IJCV
-
-
Lowe, D.G.1
-
5
-
-
84889672040
-
-
Editor: Charu Aggarwal and Chandan Reddy, CRC Press
-
S. Alelyani, J. Tang, and H. Liu, "Feature Selection for Clustering: A Review," in Data Clustering: Algorithms and Applications, Editor: Charu Aggarwal and Chandan Reddy, CRC Press, 2013.
-
(2013)
Feature Selection for Clustering: A Review Data Clustering: Algorithms and Applications
-
-
Alelyani, S.1
Tang, J.2
Liu, H.3
-
7
-
-
36849021609
-
Nonlinear adaptive distance metric learning for clustering
-
J. Chen, Z. Zhao, J. Ye, and H. Liu. Nonlinear adaptive distance metric learning for clustering. KDD, 2007.
-
(2007)
KDD
-
-
Chen, J.1
Zhao, Z.2
Ye, J.3
Liu, H.4
-
8
-
-
85167457112
-
ETLDA: Joint topic modeling for aligning events and their Twitter feedback
-
Y. Hu, A. John, F. Wang,and S. Kambhampati. ETLDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback. In AAAI, 2012.
-
(2012)
AAAI
-
-
Hu, Y.1
John, A.2
Wang, F.3
Kambhampati, S.4
-
9
-
-
33645957324
-
Bayesian feature and model selection for Gaussian mixture models
-
C. Constantinopoulos, M. Titsias, and A. Likas. Bayesian feature and model selection for gaussian mixture models. TPAMI, 2006.
-
(2006)
TPAMI
-
-
Constantinopoulos, C.1
Titsias, M.2
Likas, A.3
-
10
-
-
84871617105
-
Convex and seminonnegative matrix factorizations
-
C. Ding, T. Li, and M. Jordan. Convex and seminonnegative matrix factorizations. TPAMI, 2010.
-
(2010)
TPAMI
-
-
Ding, C.1
Li, T.2
Jordan, M.3
-
11
-
-
33749255817
-
R 1-PCA: Rotational invariant l 1-norm principal component analysis for robust subspace factorization
-
C. Ding, D. Zhou, X. He, and H. Zha. R 1-pca: rotational invariant l 1-norm principal component analysis for robust subspace factorization. ICML, 2006.
-
(2006)
ICML
-
-
Ding, C.1
Zhou, D.2
He, X.3
Zha, H.4
-
13
-
-
26444454606
-
Feature selection for unsupervised learning
-
J. Dy and C. Brodley. Feature selection for unsupervised learning. JMLR, 2004.
-
(2004)
JMLR
-
-
Dy, J.1
Brodley, C.2
-
14
-
-
0002878444
-
Feature subset selection and order identification for unsupervised learning
-
J. G. Dy and C. E. Brodley. Feature subset selection and order identification for unsupervised learning. ICML, 2000.
-
(2000)
ICML
-
-
Dy, J.G.1
Brodley, C.E.2
-
15
-
-
0034592759
-
Visualization and interactive feature selection for unsupervised data
-
J. G. Dy and C. E. Brodley. Visualization and interactive feature selection for unsupervised data. KDD, 2000.
-
(2000)
KDD
-
-
Dy, J.G.1
Brodley, C.E.2
-
16
-
-
0037342804
-
Unsupervised feature selection applied to content-based retrieval of lung images
-
J. G. Dy, C. E. Brodley, A. C. Kak, L. S. Broderick, and A. M. Aisen. Unsupervised feature selection applied to content-based retrieval of lung images. TPAMI, 2003.
-
(2003)
TPAMI
-
-
Dy, J.G.1
Brodley, C.E.2
Kak, A.C.3
Broderick, L.S.4
Aisen, A.M.5
-
18
-
-
84874258367
-
Exploiting social relations for sentiment analysis in microblogging
-
X. Hu, L. Tang, J. Tang and H. Liu, "Exploiting Social Relations for Sentiment Analysis in Microblogging," in WSDM, 2013.
-
(2013)
WSDM
-
-
Hu, X.1
Tang, L.2
Tang, J.3
Liu, H.4
-
19
-
-
85065703189
-
Correlation-based feature selection for discrete and numeric class machine learning
-
M. Hall. Correlation-based feature selection for discrete and numeric class machine learning. ICML, 2000.
-
(2000)
ICML
-
-
Hall, M.1
-
20
-
-
33845535234
-
Laplacian score for feature selection
-
X. He, D. Cai, and P. Niyogi. Laplacian score for feature selection. NIPS, 2006.
-
(2006)
NIPS
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
21
-
-
0034593107
-
Feature selection for unsupervised learning via evolutionary search
-
Y. Kim, W. Street, and F. Menczer. Feature selection for unsupervised learning via evolutionary search. KDD, 2000.
-
(2000)
KDD
-
-
Kim, Y.1
Street, W.2
Menczer, F.3
-
23
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
H. Liu and L. Yu. Toward integrating feature selection algorithms for classification and clustering. TKDE, 2005.
-
(2005)
TKDE
-
-
Liu, H.1
Yu, L.2
-
24
-
-
80053145416
-
Multi-task feature learning via efficient l 2, 1-norm minimization
-
J. Liu, S. Ji, and J. Ye. Multi-task feature learning via efficient l 2, 1-norm minimization. UAI, 2009.
-
(2009)
UAI
-
-
Liu, J.1
Ji, S.2
Ye, J.3
-
25
-
-
84874223723
-
Exploiting homophily effect for trust prediction
-
J. Tang, H. Gao, X. Hu and H. Liu, "Exploiting Homophily Effect for Trust Prediction," in WSDM,2013.
-
(2013)
WSDM
-
-
Tang, J.1
Gao, H.2
Hu, X.3
Liu, H.4
-
27
-
-
85135939782
-
Efficient and robust feature selection via joint l21-norms minimization
-
F. Nie, H. Huang, X. Cai, and C. Ding. Efficient and robust feature selection via joint l21-norms minimization. NIPS, 2010.
-
(2010)
NIPS
-
-
Nie, F.1
Huang, H.2
Cai, X.3
Ding, C.4
-
28
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
H. Peng, F. Long, and C. Ding. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. TPAMI, 2005.
-
(2005)
TPAMI
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
29
-
-
84880191846
-
Feature selection with linked data in social media
-
J. Tang and H. Liu. Feature selection with linked data in social media. SDM, 2012.
-
(2012)
SDM
-
-
Tang, J.1
Liu, H.2
-
30
-
-
84866052116
-
Unsupervised feature selection for linked social media data
-
J. Tang and H. Liu. Unsupervised feature selection for linked social media data. KDD, 2012.
-
(2012)
KDD
-
-
Tang, J.1
Liu, H.2
-
31
-
-
27844550205
-
Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weighted-based approach
-
L. Wolf and A. Shashua. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach. JMLR, 2005.
-
(2005)
JMLR
-
-
Wolf, L.1
Shashua, A.2
-
32
-
-
84881041271
-
L21-norm regularized discriminative feature selection for unsupervised learning
-
Y. Yang, H. Shen, Z. Ma, Z. Huang, and X. Zhou. L21-norm regularized discriminative feature selection for unsupervised learning. IJCAI, 2011.
-
(2011)
IJCAI
-
-
Yang, Y.1
Shen, H.2
Ma, Z.3
Huang, Z.4
Zhou, X.5
-
33
-
-
65149104302
-
Spectral feature selection for supervised and unsupervised learning
-
Z. Zhao and H. Liu. Spectral feature selection for supervised and unsupervised learning. ICML, 2007.
-
(2007)
ICML
-
-
Zhao, Z.1
Liu, H.2
-
34
-
-
77951179901
-
Multi-source feature selection via geometry-dependent covariance analysis
-
Z. Zhao and H. Liu. Multi-source feature selection via geometry-dependent covariance analysis. JMLR, Workshop and Conference Proceedings, 2010.
-
(2010)
JMLR Workshop and Conference Proceedings
-
-
Zhao, Z.1
Liu, H.2
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