-
1
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin, M., and Niyogi, P. 2003. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6): 1373-1396.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
2
-
-
4344635655
-
Out-of-sample extensions for lie, isomap, mds, eigenmaps, and spectral clustering
-
Bengio, Y.; Paiement, J.-F.; Vincent, P.; Delalleau, O.; Roux, N. L.; and Ouimet, M. 2003. Out-of-sample extensions for lie, isomap, mds, eigenmaps, and spectral clustering. In NIPS.
-
(2003)
NIPS
-
-
Bengio, Y.1
Paiement, J.-F.2
Vincent, P.3
Delalleau, O.4
Roux, N.L.5
Ouimet, M.6
-
3
-
-
50649123949
-
Spectral regression for efficient regularized subspace learning
-
Cai, D.; He, X.; and Han, J. 2007. Spectral regression for efficient regularized subspace learning. In ICCV, 1-8.
-
(2007)
ICCV
, pp. 1-8
-
-
Cai, D.1
He, X.2
Han, J.3
-
5
-
-
21244486307
-
Multicategory proximal support vector machine classifiers
-
Fung, G., and Mangasarian, O. L. 2005. Multicategory proximal support vector machine classifiers. Machine Learning 59(1-2):77-97.
-
(2005)
Machine Learning
, vol.59
, Issue.1-2
, pp. 77-97
-
-
Fung, G.1
Mangasarian, O.L.2
-
6
-
-
11144299132
-
A kernel view of the dimensionality reduction of manifolds
-
Ham, J.; Lee, D. D.; Mika, S.; and Schölkopf, B. 2004. A kernel view of the dimensionality reduction of manifolds. In ICML.
-
(2004)
ICML
-
-
Ham, J.1
Lee, D.D.2
Mika, S.3
Schölkopf, B.4
-
7
-
-
8644228268
-
Locality preserving projections
-
He, X., and Niyogi, P. 2003. Locality preserving projections. In NIPS.
-
(2003)
NIPS
-
-
He, X.1
Niyogi, P.2
-
8
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis, S. T., and Saul, L. K. 2000. Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323-2326.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
9
-
-
2342517502
-
Think globally, fit locally: Unsupervised learning of low dimensional manifold
-
Saul, L. K., and Roweis, S. T. 2003. Think globally, fit locally: Unsupervised learning of low dimensional manifold. Journal of Machine Learning Research 4:119-155.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 119-155
-
-
Saul, L.K.1
Roweis, S.T.2
-
10
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Schölkopf, B.; Smola, A.; and Müller, K. 1998. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 26(1): 1299-1319.
-
(1998)
Neural Computation
, vol.26
, Issue.1
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Müller, K.3
-
11
-
-
84899009769
-
Global versus local methods in nonlinear dimensionality reduction
-
Silva, V., and Tenenbaum, J. B. 2003. Global versus local methods in nonlinear dimensionality reduction. In NIPS, 705-712.
-
(2003)
NIPS
, pp. 705-712
-
-
Silva, V.1
Tenenbaum, J.B.2
-
12
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum, J.; Silva, V.; and Langford, C. 2000. A global geometric framework for nonlinear dimensionality reduction. Science 290(5500):2319-2323.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.1
Silva, V.2
Langford, C.3
-
13
-
-
33744949513
-
Unsupervised learning of image manifolds by semidefinite programming
-
Weinberger, K. Q., and Saul, L. K. 2006. Unsupervised learning of image manifolds by semidefinite programming. International Journal of Computer Vision 70(1):77-90.
-
(2006)
International Journal of Computer Vision
, vol.70
, Issue.1
, pp. 77-90
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
14
-
-
84864040410
-
A local learning approach for clustering
-
Wu, M., and Scholkopf, B. 2006. A local learning approach for clustering. In NIPS, 1529-1536.
-
(2006)
NIPS
, pp. 1529-1536
-
-
Wu, M.1
Scholkopf, B.2
-
15
-
-
68549104123
-
Nonlinear dimensionality reduction with local spline embedding
-
Xiang, S.; Nie, F; Zhang, C; and Zhang, C. 2009. Nonlinear dimensionality reduction with local spline embedding. IEEE Transactions on Knowledge and Data Engineering 21(9): 1285-1298.
-
(2009)
IEEE Transactions on Knowledge and Data Engineering
, vol.21
, Issue.9
, pp. 1285-1298
-
-
Xiang, S.1
Nie, F.2
Zhang, C.3
Zhang, C.4
-
16
-
-
24644478682
-
Graph embedding: A general framework for dimensionality reduction
-
Yan, S.; Xu, D.; Zhang, B.; and Zhang, H. 2005. Graph embedding: A general framework for dimensionality reduction. In CVPR, 830-837.
-
(2005)
CVPR
, pp. 830-837
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.4
-
17
-
-
72449143147
-
Ranking with local regression and global alignment for cross media retrieval
-
Yang, Y; Xu, D.; Nie, F; Luo, J.; and Zhuang, Y. 2009. Ranking with local regression and global alignment for cross media retrieval. In ACM Multimedia.
-
(2009)
ACM Multimedia
-
-
Yang, Y.1
Xu, D.2
Nie, F.3
Luo, J.4
Zhuang, Y.5
-
18
-
-
14544307975
-
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
-
Zhang, Z., and Zha, H. 2004. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM Journal on Scientific Computing 10:313-338.
-
(2004)
SIAM Journal on Scientific Computing
, vol.10
, pp. 313-338
-
-
Zhang, Z.1
Zha, H.2
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