-
1
-
-
34547996209
-
Information-theoretic metric learning
-
Davis, J.V., Kulis, B., Jain, P., Sra, S., Dhillon, I.S.: Information-theoretic metric learning. In: Proceedings of the 24th International Conference on Machine learning, pp. 209-216 (2007)
-
(2007)
Proceedings of the 24th International Conference on Machine learning
, pp. 209-216
-
-
Davis, J.V.1
Kulis, B.2
Jain, P.3
Sra, S.4
Dhillon, I.S.5
-
3
-
-
33745887620
-
Neighbourhood components analysis
-
Goldberger, J., Roweis, S.. Hinton, G., Salakhutdinov, R.: Neighbourhood components analysis. In: Advances in Neural Information Processing Systems (NIPS) (2004)
-
(2004)
Advances in Neural Information Processing Systems (NIPS)
-
-
Goldberger, J.1
Roweis, S.2
Hinton, G.3
Salakhutdinov, R.4
-
6
-
-
84879571292
-
Distance metric learning, with application to clustering with side-information
-
Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning, with application to clustering with side-information. In: Advances in Neural Information Processing Systems (NIPS) (2003)
-
(2003)
Advances in Neural Information Processing Systems (NIPS)
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
8
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
CVPR
-
Chopra, S., Hadsell, R., LeCun, Y.: Learning a similarity metric discriminatively, with application to face verification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2005)
-
(2005)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Chopra, S.1
Hadsell, R.2
LeCun, Y.3
-
10
-
-
84937544784
-
Adjusting learning and relevant component analysis
-
Shental, N., Hertz, T., Weinshall, D., Pavel, M.: Adjusting learning and relevant component analysis. In: Proceedings of the Seventh European Conference on Computer Vision (ECCV), pp. 776-792 (2002)
-
(2002)
Proceedings of the Seventh European Conference on Computer Vision (ECCV)
, pp. 776-792
-
-
Shental, N.1
Hertz, T.2
Weinshall, D.3
Pavel, M.4
-
12
-
-
23044490834
-
Large margin nearest neighbor classifiers
-
Domeniconi, C., Gunopulos, D., Peng, J.: Large margin nearest neighbor classifiers. IEEE Transactions on Neural Networks 16(4), 899-909 (2005)
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.4
, pp. 899-909
-
-
Domeniconi, C.1
Gunopulos, D.2
Peng, J.3
-
13
-
-
85156250913
-
Discriminant adaptive nearest neighbor classification and regression
-
MIT Press, Cambridge
-
Hastie, T., Tibshirani, R.: Discriminant adaptive nearest neighbor classification and regression. In: Advances in Neural Information Processing Systems (NIPS), vol. 8, pp. 409-415. MIT Press, Cambridge (1996)
-
(1996)
Advances in Neural Information Processing Systems (NIPS)
, vol.8
, pp. 409-415
-
-
Hastie, T.1
Tibshirani, R.2
-
14
-
-
85049824784
-
Application of genetic algorithm and k-nearest neighbor method in real world medical fraud detection problem
-
He, H., Hawkins, S., Graco, W., Yao, X.: Application of genetic algorithm and k-nearest neighbor method in real world medical fraud detection problem. Journal of Advanced Computational Intelligence and Intelligent Informatics 4(2), 130-137 (2000)
-
(2000)
Journal of Advanced Computational Intelligence and Intelligent Informatics
, vol.4
, Issue.2
, pp. 130-137
-
-
He, H.1
Hawkins, S.2
Graco, W.3
Yao, X.4
-
15
-
-
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, 2319-2322 (2000)
-
(2000)
Science
, vol.290
, pp. 2319-2322
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
16
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000)
-
(2000)
Science
, vol.290
-
-
Roweis, S.T.1
Saul, L.K.2
-
18
-
-
34547964973
-
Primal estimated sub-gradient solver for SVM
-
ACM, New York
-
Shalev-Shwartz, S., Singer, Y., Srebro, N.: Primal estimated sub-gradient solver for SVM. In: Proceedings of the 24th International Conference on Machine Learning, pp. 807-814. ACM, New York (2007)
-
(2007)
Proceedings of the 24th International Conference on Machine Learning
, pp. 807-814
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
19
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
Schölkopf, B, Burges, C, Smola, A.J, eds, MIT Press, Cambridge
-
Joachims, T.: Making large-scale support vector machine learning practical. In: Schölkopf, B., Burges, C., Smola, A.J. (eds.) Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge (1998)
-
(1998)
Advances in Kernel Methods: Support Vector Machines
-
-
Joachims, T.1
-
20
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
Schölkopf, B, Burges, C, Smola, A.J, eds, MIT Press, Cambridge
-
Platt, J.C.: Fast training of support vector machines using sequential minimal optimization, In: Schölkopf, B., Burges, C., Smola, A.J. (eds.) Advances in Kernel Methods: Support Vector Machines, MIT Press, Cambridge (1999)
-
(1999)
Advances in Kernel Methods: Support Vector Machines
-
-
Platt, J.C.1
-
21
-
-
0347243182
-
Kernel principal component analysis
-
Scholkopf, B., Smola, A.J., Müller, K.R.: Kernel principal component analysis. Neural Computation 10(5), 1299-1319 (1998)
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.J.2
Müller, K.R.3
-
24
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
Crammer, K., Singer, Y.: On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research 2, 265-292 (2001)
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
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