-
2
-
-
33749035690
-
Scalable clustering algorithms with balancing constraints
-
Banerjee, A., Gosh, J.: Scalable clustering algorithms with balancing constraints. Data Mining and Knowledge Discovery 13(3), 365-395 (2006)
-
(2006)
Data Mining and Knowledge Discovery
, vol.13
, Issue.3
, pp. 365-395
-
-
Banerjee, A.1
Gosh, J.2
-
3
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6), 1373-1396 (2003)
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
4
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from Labeled and Unlabeled Examples
-
Belkin, M., Niyogi, P., Sindhwani, V.: Manifold regularization: a geometric framework for learning from Labeled and Unlabeled Examples. Journal of Machine Learning Research 7, 2399-2434 (2006)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
5
-
-
0001089823
-
Support vector clustering
-
Ben-Hur, A., Horn, D., Siegelmann, H.T., Vapnik, V.: Support vector clustering. Journal of Machine Learning Research 2, 125-137 (2001)
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 125-137
-
-
Ben-Hur, A.1
Horn, D.2
Siegelmann, H.T.3
Vapnik, V.4
-
6
-
-
4344599431
-
Learning eigenfunctions links spectral embedding and kernel PCA
-
Bengio, Y., Delalleau, O., Le Roux, N., Paiement, J.-F., Vincent, P., Ouimet. M.: Learning eigenfunctions links spectral embedding and kernel PCA. Neural Computation 16(10), 2197-2219 (2004)
-
(2004)
Neural Computation
, vol.16
, Issue.10
, pp. 2197-2219
-
-
Bengio, Y.1
Delalleau, O.2
Le Roux, N.3
Paiement, J.-F.4
Vincent, P.5
Ouimet, M.6
-
8
-
-
33947180792
-
Stochastic learning
-
Bousquet, O, von Luxburg, U, Rätsch, G, eds, Machine Learning 2003, Springer. Heidelberg
-
Bottou, L.: Stochastic learning. In: Bousquet, O., von Luxburg, U., Rätsch, G. (eds.) Machine Learning 2003. LNCS (LNAI). vol. 3176, pp. 146-168. Springer. Heidelberg (2004)
-
(2004)
LNCS (LNAI
, vol.3176
, pp. 146-168
-
-
Bottou, L.1
-
9
-
-
0005594495
-
Signature verification using a Siamese time delay neural network
-
August
-
Bromley, J., Bentz, J.W., Bottou, L., Guyon, I., LeCun, Y., Moore, C., Sackinger, E., Shah, R.: Signature verification using a Siamese time delay neural network. International Journal of Pattern Recognition and Artificial Intelligence 7(4) (August 1993)
-
(1993)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.7
, Issue.4
-
-
Bromley, J.1
Bentz, J.W.2
Bottou, L.3
Guyon, I.4
LeCun, Y.5
Moore, C.6
Sackinger, E.7
Shah, R.8
-
10
-
-
51949086172
-
-
Chapelle, O., Zien, A.: Semi-supervised classification by low density separation. In: AISTATS. pp. 57-64 (January 2005)
-
Chapelle, O., Zien, A.: Semi-supervised classification by low density separation. In: AISTATS. pp. 57-64 (January 2005)
-
-
-
-
11
-
-
33747128180
-
Large scale transductive SVMS
-
Collobert, R., Sinz, F., Weston, J., Bottou, L.: Large scale transductive SVMS. Journal of Machine Learning Research 7, 1687-1712 (2006)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1687-1712
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
13
-
-
84898035178
-
Neural network modeling of spectral embedding
-
Gong, H.F., Pan, C., Yang, Q., Lu, H.Q., Ma, S.: Neural network modeling of spectral embedding. In: BMVC 2006, p. 1-227 (2006)
-
(2006)
BMVC 2006
, pp. 1-227
-
-
Gong, H.F.1
Pan, C.2
Yang, Q.3
Lu, H.Q.4
Ma, S.5
-
14
-
-
33845594569
-
Dimensionality reduction by learning an invariant mapping
-
IEEE Press, Los Alamitos
-
Hadsell, R., Chopra, S., LeCun, Y.: Dimensionality reduction by learning an invariant mapping. In: Proc. Computer Vision and Pattern Recognition Conference (CVPR 2006). IEEE Press, Los Alamitos (2006)
-
(2006)
Proc. Computer Vision and Pattern Recognition Conference (CVPR
-
-
Hadsell, R.1
Chopra, S.2
LeCun, Y.3
-
15
-
-
0026925324
-
New spectral methods for ratio cut partitioning and clustering
-
Hagen, L., Kahng, A.: New spectral methods for ratio cut partitioning and clustering. IEEE Trans. on Computer Aided-Design 11(9), 1074-1085 (1992)
-
(1992)
IEEE Trans. on Computer Aided-Design
, vol.11
, Issue.9
, pp. 1074-1085
-
-
Hagen, L.1
Kahng, A.2
-
16
-
-
15044358511
-
Face recognition using laplacianfaces
-
He, X., Yan, S.C., Hu, Y., Niyogi, P., Zhang, H.J.: Face recognition using laplacianfaces. IEEE Trans. PAMI 27(3), 328
-
IEEE Trans. PAMI
, vol.27
, Issue.3
, pp. 328
-
-
He, X.1
Yan, S.C.2
Hu, Y.3
Niyogi, P.4
Zhang, H.J.5
-
18
-
-
56449125402
-
Large scale manifold transduction
-
Karlen, M., Weston, J., Erken, A., Collobert, R.: Large scale manifold transduction. In: Proc. of the Int. Conference on Machine Learning (ICML 2008) (2008)
-
(2008)
Proc. of the Int. Conference on Machine Learning (ICML
-
-
Karlen, M.1
Weston, J.2
Erken, A.3
Collobert, R.4
-
20
-
-
56049112139
-
-
Ng, A.Y., Jordan, M., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: Advances in Neural Information Processing Systems (NIPS 13) (2001)
-
Ng, A.Y., Jordan, M., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: Advances in Neural Information Processing Systems (NIPS 13) (2001)
-
-
-
-
21
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis, S.T., Saul. L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323-2326 (2000)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
22
-
-
33750733400
-
Spectral methods for dimensionality reduction
-
MIT Press, Cambridge
-
Saul, L.K., Weinberger, K.Q., Ham, J.H., Sha, F., Lee, D.D.: Spectral methods for dimensionality reduction. In: Semi-Supervised Learning. MIT Press, Cambridge (2006)
-
(2006)
Semi-Supervised Learning
-
-
Saul, L.K.1
Weinberger, K.Q.2
Ham, J.H.3
Sha, F.4
Lee, D.D.5
-
23
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Schölkopf, B., Smola, A.J.. Müller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10, 1299-1319 (1998)
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.R.3
-
25
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319-2323 (2000)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
26
-
-
79952394649
-
The out-of-sample problem for multidimensional scaling
-
Technical Report 06-04, Dept. of Statistics, Indiana University
-
Trosset, M.W., Priebe, C.E.: The out-of-sample problem for multidimensional scaling. Technical Report 06-04, Dept. of Statistics, Indiana University (2006)
-
(2006)
-
-
Trosset, M.W.1
Priebe, C.E.2
-
27
-
-
56049086888
-
-
Verma, D., Meila, M.: Comparison of spectral clustering methods. In: Advances in Neural Information Processing Systems (NIPS 15) (2003)
-
Verma, D., Meila, M.: Comparison of spectral clustering methods. In: Advances in Neural Information Processing Systems (NIPS 15) (2003)
-
-
-
-
29
-
-
56049122733
-
-
Wu, M., Schölkopf, B.: A local learning approach for clustering. In: Advances in Neural Information Processing Systems (NIPS 19) (2006)
-
Wu, M., Schölkopf, B.: A local learning approach for clustering. In: Advances in Neural Information Processing Systems (NIPS 19) (2006)
-
-
-
-
30
-
-
56049122949
-
-
Xu, L., Neufeld, J., Larson, B., Schuurmans, D.: Maximum margin clustering. In: Advances in Neural Information Processing Systems (NIPS 16) (2004)
-
Xu, L., Neufeld, J., Larson, B., Schuurmans, D.: Maximum margin clustering. In: Advances in Neural Information Processing Systems (NIPS 16) (2004)
-
-
-
|