-
1
-
-
44649111202
-
Locality sensitive semi-supervised feature selection
-
Zhao J., Lu K., He X. Locality sensitive semi-supervised feature selection. Neurocomputing 2008, 71:1842-1849.
-
(2008)
Neurocomputing
, vol.71
, pp. 1842-1849
-
-
Zhao, J.1
Lu, K.2
He, X.3
-
2
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T.R., Slonim D.K., Tamayo P., Huard C., Gaasenbeek M., Mesirov J.P., Coller H., Loh M.L., Downing J.R., Caligiuri M.A., Bloomfield C.D., Lander E.S. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 286:531-537.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.P.6
Coller, H.7
Loh, M.L.8
Downing, J.R.9
Caligiuri, M.A.10
Bloomfield, C.D.11
Lander, E.S.12
-
3
-
-
77955319589
-
Kernel based gene expression pattern discovery and its application on cancer classification
-
Cai R., Hao Z., Wen W., Huang H. Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing 2010, 73:2562-2570.
-
(2010)
Neurocomputing
, vol.73
, pp. 2562-2570
-
-
Cai, R.1
Hao, Z.2
Wen, W.3
Huang, H.4
-
4
-
-
0003922190
-
-
Wiley-Interscience, Hoboken, NJ
-
Duda R.O., Hart P.E., Stork D.G. Pattern Classification 2000, Wiley-Interscience, Hoboken, NJ. second ed.
-
(2000)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
5
-
-
78650724578
-
Unsupervised feature extraction via kernel subspace techniques
-
Teixeira A.R., Tomé A.M., Lang E.W. Unsupervised feature extraction via kernel subspace techniques. Neurocomputing 2011, 74:820-830.
-
(2011)
Neurocomputing
, vol.74
, pp. 820-830
-
-
Teixeira, A.R.1
Tomé, A.M.2
Lang, E.W.3
-
6
-
-
33947194180
-
Graph embedding: a general framework for dimensionality reduction
-
Yan S.C., Xu D., Zhang B.Y., Zhang H.J. Graph embedding: a general framework for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. 2007, 29:40-51.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, pp. 40-51
-
-
Yan, S.C.1
Xu, D.2
Zhang, B.Y.3
Zhang, H.J.4
-
7
-
-
79954420816
-
Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy
-
Han M., Liang Z.P., Li D.C. Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy. Neurocomputing 2011, 74:1664-1672.
-
(2011)
Neurocomputing
, vol.74
, pp. 1664-1672
-
-
Han, M.1
Liang, Z.P.2
Li, D.C.3
-
8
-
-
77952545392
-
Feature evaluation and selection based on neighborhood soft margin
-
Hu Q.H., Che X.J., Zhang Lei L. Feature evaluation and selection based on neighborhood soft margin. Neurocomputing 2010, 73:2114-2124.
-
(2010)
Neurocomputing
, vol.73
, pp. 2114-2124
-
-
Hu, Q.H.1
Che, X.J.2
Zhang Lei, L.3
-
9
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I., Weston J., Barnhill S., Vapnik V. Gene selection for cancer classification using support vector machines. Mach. Learn. 2002, 46:389-422.
-
(2002)
Mach. Learn.
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
10
-
-
85161960219
-
-
Efficient and robust feature selection via joint l2,1-norms minimization, in: Neural Information Processing Systems, Canada
-
F.P. Nie, H. Huang, X. Cai, Efficient and robust feature selection via joint l2,1-norms minimization, in: Neural Information Processing Systems, Canada, 2010.
-
(2010)
-
-
Nie, F.P.1
Huang, H.2
Cai, X.3
-
11
-
-
84880862081
-
-
Neighborhood MinMax projections, in: Joint Conference on Artificial Intelligence, India
-
F.P. Nie, S.M. Xiang, C.S. Zhang, Neighborhood MinMax projections, in: Joint Conference on Artificial Intelligence, India, 2007.
-
(2007)
-
-
Nie, F.P.1
Xiang, S.M.2
Zhang, C.S.3
-
12
-
-
0038021028
-
A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns
-
Liu H., Li J., Wong L. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. Genome. Inform. 2002, 27:51-60.
-
(2002)
Genome. Inform.
, vol.27
, pp. 51-60
-
-
Liu, H.1
Li, J.2
Wong, L.3
-
14
-
-
57749182885
-
-
Trace ratio criterion for feature selection, in: 23rd AAAI Conference on Artificial Intelligence, Chicago
-
F. Nie, S. Xiang, Y. Jia, C. Zhang, S. Yan, Trace ratio criterion for feature selection, in: 23rd AAAI Conference on Artificial Intelligence, Chicago, 2008.
-
(2008)
-
-
Nie, F.1
Xiang, S.2
Jia, Y.3
Zhang, C.4
Yan, S.5
-
15
-
-
84864039505
-
-
Laplacian score for feature selection, in: Neural Information Processing Systems, Vancouver
-
X. He, D. Cai, P. Niyogi, Laplacian score for feature selection, in: Neural Information Processing Systems, Vancouver, 2005.
-
(2005)
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
17
-
-
33750378734
-
Orthogonal laplacianfaces for face recognition
-
Cai D., He X.F., Han J.W., Zhang H.J. Orthogonal laplacianfaces for face recognition. IEEE Trans. Image Process. 2006, 15:3608-3614.
-
(2006)
IEEE Trans. Image Process.
, vol.15
, pp. 3608-3614
-
-
Cai, D.1
He, X.F.2
Han, J.W.3
Zhang, H.J.4
-
18
-
-
36348982900
-
Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval
-
Xu D., Yan S., Tao D., Lin S., Zhang H.J. Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval. IEEE Trans. Image Process. 2007, 16:2811-2821.
-
(2007)
IEEE Trans. Image Process.
, vol.16
, pp. 2811-2821
-
-
Xu, D.1
Yan, S.2
Tao, D.3
Lin, S.4
Zhang, H.J.5
-
19
-
-
63149139219
-
-
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms, in: IEEE Congress on Evolutionary Computation, Singapore
-
E. Alba, N.J. Garcia, L. Jourdan, E.G. Talbi, Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms, in: IEEE Congress on Evolutionary Computation, Singapore, 2007.
-
(2007)
-
-
Alba, E.1
Garcia, N.J.2
Jourdan, L.3
Talbi, E.G.4
-
20
-
-
84862166331
-
-
LIBSVM data sets
-
LIBSVM data sets. http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
-
-
-
-
21
-
-
84862216612
-
-
UMIST database
-
UMIST database. http://www.sheffield.ac.uk/eee/research/iel/research/face.html.
-
-
-
-
22
-
-
84862183303
-
-
Yale univ. face database
-
Yale univ. face database. http://cvc.yale.edu/projects/yalefaces/yalefaces.html.
-
-
-
-
23
-
-
37549070399
-
Learning a maximum margin subspace for image retrieval
-
He X. Learning a maximum margin subspace for image retrieval. IEEE Trans. Knowl. Data Eng. 2008, 20:189-201.
-
(2008)
IEEE Trans. Knowl. Data Eng.
, vol.20
, pp. 189-201
-
-
He, X.1
|