-
1
-
-
9444289383
-
-
M. Belkin, I. Matveeva, and P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, pages 624-638, 2004. 6
-
M. Belkin, I. Matveeva, and P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, pages 624-638, 2004. 6
-
-
-
-
2
-
-
0043278893
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. In NIPS, 2003. 1
-
(2003)
NIPS
, pp. 1
-
-
Belkin, M.1
Niyogi, P.2
-
5
-
-
84862619225
-
Efficient non-parametric function induction in semi-supervised learning
-
O. Delalleau, Y. Bengio, and N. L. Roux. Efficient non-parametric function induction in semi-supervised learning. In AISTATS, 2005. 6
-
(2005)
AISTATS
, pp. 6
-
-
Delalleau, O.1
Bengio, Y.2
Roux, N.L.3
-
6
-
-
32444442667
-
A unified view of kernel k-means, spectral clustering and graph partitioning
-
Technical report, Department of Computer Sciences, University of Texas at Austin, 2005. 3
-
I. S. Dhillon, Y. Guan, and B. Kulis. A unified view of kernel k-means, spectral clustering and graph partitioning. Technical report, Department of Computer Sciences, University of Texas at Austin, 2005. 3
-
-
-
Dhillon, I.S.1
Guan, Y.2
Kulis, B.3
-
7
-
-
0001493668
-
Asymptotics of graphical projection pursuit
-
793815, 12
-
P. Diaconis and D. Freedman. Asymptotics of graphical projection pursuit. Annuals of Statistics, 12:793815, 1984. 2
-
(1984)
Annuals of Statistics
, vol.12
-
-
Diaconis, P.1
Freedman, D.2
-
8
-
-
33749255098
-
-
C. Ding, X. He, and H. D. Simon. On the equivalence of nonnegative matrix factorization and spectral clustering. In SDM, pages 606-610, 2006. 2, 3
-
C. Ding, X. He, and H. D. Simon. On the equivalence of nonnegative matrix factorization and spectral clustering. In SDM, pages 606-610, 2006. 2, 3
-
-
-
-
10
-
-
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 Trans. Pattern Anal. Mach. Intelligence, 23:643-660, 2001. 2
-
(2001)
IEEE Trans. Pattern Anal. Mach. Intelligence
, vol.23
, Issue.643-660
, pp. 2
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
11
-
-
0041753016
-
On almost linearity of low dimensional projections from high dimensional data
-
P. Hall and K. Li. On almost linearity of low dimensional projections from high dimensional data. Annuals of Statistics, 21:867-889, 1993. 2
-
(1993)
Annuals of Statistics
, vol.21
, Issue.867-889
, pp. 2
-
-
Hall, P.1
Li, K.2
-
12
-
-
0003684449
-
-
Springer
-
T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2001. 3
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
, pp. 3
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
13
-
-
33845535234
-
Laplacian score for feature selection
-
X. He, D. Cai, and P. Niyogi. Laplacian score for feature selection. In NIPS. 4
-
NIPS
, pp. 4
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
16
-
-
33749243962
-
Discriminative cluster analysis
-
F. D. la Torre Frade and T. Kanade. Discriminative cluster analysis. In ICML, pages 241-248, 2006. 1, 3
-
(2006)
ICML
, vol.1
-
-
la Torre Frade, F.D.1
Kanade, T.2
-
17
-
-
0347201147
-
Multiclass cancer diagnosis using tumor gene expression signatures
-
S. Ramaswamy, P. Tamayo, R. Rifkin, S. Mukherjee, C.-H. Yeang, M. Angelo, C. Ladd, M. Reich, E. Latulippe, J. Mesirov, T. Poggio, W. Gerald, M. Loda, E. Lander, and T. Golub. Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences, 98:15149-15154, 2001. 2
-
(2001)
Proceedings of the National Academy of Sciences
, vol.98
-
-
Ramaswamy, S.1
Tamayo, P.2
Rifkin, R.3
Mukherjee, S.4
Yeang, C.-H.5
Angelo, M.6
Ladd, C.7
Reich, M.8
Latulippe, E.9
Mesirov, J.10
Poggio, T.11
Gerald, W.12
Loda, M.13
Lander, E.14
Golub, T.15
-
18
-
-
2342517502
-
Think globally, fit locally : Unsupervised learning of low dimensional manifolds
-
L. K. Saul and S. T. Roweis. Think globally, fit locally : Unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research, 4:119-155, 2003. 1
-
(2003)
Journal of Machine Learning Research
, vol.4
, Issue.119-155
, pp. 1
-
-
Saul, L.K.1
Roweis, S.T.2
-
19
-
-
84937544784
-
-
N. Shental, T. Hertz, D. Weinshall, and M. Pavel. Adjustment learning and relevant component analysis. In ECCV, pages 776-792, 2002. 1
-
N. Shental, T. Hertz, D. Weinshall, and M. Pavel. Adjustment learning and relevant component analysis. In ECCV, pages 776-792, 2002. 1
-
-
-
-
20
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
2905500
-
J. Tenenbaum, V. de Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000. 1
-
(2000)
Science
, vol.2319-2323
, pp. 1
-
-
Tenenbaum, J.1
de Silva, V.2
Langford, J.3
-
21
-
-
35148893939
-
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-means clustering with background knowledge. In ICML, pages 577-584, 2001. 5
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-means clustering with background knowledge. In ICML, pages 577-584, 2001. 5
-
-
-
-
22
-
-
33749550361
-
Distance metric learning for large margin nearest neighbor classification
-
K. Weinberger, J. Blitzer, and L. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS, 2005. 1
-
(2005)
NIPS
, pp. 1
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
23
-
-
85133386144
-
Distance metric learning with application to clustering with side-information
-
E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning with application to clustering with side-information. In NIPS, 2002. 1
-
(2002)
NIPS
, pp. 1
-
-
Xing, E.1
Ng, A.2
Jordan, M.3
Russell, S.4
-
24
-
-
35148876898
-
Distance metric learning: A comprehensive survey
-
Technical report, Department of Computer Science and Engineering, Michigan State University, 2006. 1
-
L. Yang and R. Jin. Distance metric learning: A comprehensive survey. Technical report, Department of Computer Science and Engineering, Michigan State University, 2006. 1
-
-
-
Yang, L.1
Jin, R.2
-
25
-
-
35148844074
-
An efficient algorithm for local distance metric learning
-
L. Yang, R. Jin, R. Sukthankar, and Y. Liu. An efficient algorithm for local distance metric learning. In AAAI, 2006. 1
-
(2006)
AAAI
, pp. 1
-
-
Yang, L.1
Jin, R.2
Sukthankar, R.3
Liu, Y.4
-
26
-
-
84899006908
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, 2004. 6
-
(2004)
NIPS
, pp. 6
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.3
Weston, J.4
Schölkopf, B.5
-
27
-
-
33745456231
-
Semi-supervised learning literature survey
-
Technical report, Computer Sciences, University of Wisconsin-Madison, 2, 5
-
X. J. Zhu. Semi-supervised learning literature survey. Technical report, Computer Sciences, University of Wisconsin-Madison, 2005. 2, 5
-
(2005)
-
-
Zhu, X.J.1
-
28
-
-
1942484430
-
Semisupervised learning using gaussian fields and harmonic functions
-
X. J. Zhu, Z. Ghahramani, and J. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In ICML, 2003. 6
-
(2003)
ICML
, pp. 6
-
-
Zhu, X.J.1
Ghahramani, Z.2
Lafferty, J.3
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