-
1
-
-
27644572056
-
Optimization of k-nearest neighbor density estimates
-
Fukunaga K., and Hostetler L. Optimization of k-nearest neighbor density estimates. IEEE Trans. Inf. Theory 19 3 (1973) 320-326
-
(1973)
IEEE Trans. Inf. Theory
, vol.19
, Issue.3
, pp. 320-326
-
-
Fukunaga, K.1
Hostetler, L.2
-
2
-
-
0019610270
-
The optimal distance measure for nearest neighbor classification
-
Short R.D., and Fukunaga K. The optimal distance measure for nearest neighbor classification. IEEE Trans. Inf. Theory 27 5 (1981) 622-627
-
(1981)
IEEE Trans. Inf. Theory
, vol.27
, Issue.5
, pp. 622-627
-
-
Short, R.D.1
Fukunaga, K.2
-
5
-
-
33646103857
-
-
J.H. Friedman, Flexible metric nearest neighbor classification, Technical Report, Department of Statistics, Stanford University, Stanford, CA, USA, November 1994.
-
-
-
-
7
-
-
0001920729
-
Similarity metric learning for a variable-kernel classifier
-
Lowe D.G. Similarity metric learning for a variable-kernel classifier. Neural Computation 7 1 (1995) 72-85
-
(1995)
Neural Computation
, vol.7
, Issue.1
, pp. 72-85
-
-
Lowe, D.G.1
-
8
-
-
33751573445
-
-
J. Peng, D.R. Heisterkamp, H.K. Dai, Adaptive kernel metric nearest neighbor classification, in: Proceedings of the 16th International Conference on Pattern Recognition, 11-15 August 2002, Québec City, Québec, Canada, vol. 3, pp. 33-36.
-
-
-
-
9
-
-
0025490985
-
Networks for approximation and learning
-
Poggio T., and Girosi F. Networks for approximation and learning. Proc. IEEE 78 9 (1990) 1481-1497
-
(1990)
Proc. IEEE
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
10
-
-
0036133934
-
Clustering based on conditional distributions in an auxiliary space
-
Sinkkonen J., and Kaski S. Clustering based on conditional distributions in an auxiliary space. Neural Computation 14 1 (2002) 217-239
-
(2002)
Neural Computation
, vol.14
, Issue.1
, pp. 217-239
-
-
Sinkkonen, J.1
Kaski, S.2
-
11
-
-
33646105563
-
-
S. Basu, A. Banerjee, R. Mooney, Semi-supervised clustering by seeding, in: Proceedings of the 19th International Conference on Machine Learning, Sydney, Australia, 8-12 July 2002, pp. 19-26.
-
-
-
-
12
-
-
84880784532
-
-
Z. Zhang, J.T. Kwok, D.Y. Yeung, Parametric distance metric learning with label information, in: Proceedings of the 18th International Joint Conference on Artificial Intelligence, 9-15 August 2003, Acapulco, Mexico, pp. 1450-1452.
-
-
-
-
14
-
-
0042377235
-
Constrained k-means clustering with background knowledge
-
Williamstown, MA, USA
-
Wagstaff K., Cardie C., Rogers S., and Schroedl S. Constrained k-means clustering with background knowledge. Proceedings of the 18th International Conference on Machine Learning (2001), Williamstown, MA, USA 577-584
-
(2001)
Proceedings of the 18th International Conference on Machine Learning
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
16
-
-
84879571292
-
Distance metric learning, with application to clustering with side-information
-
Becker S., Thrun S., and Obermayer K. (Eds), MIT Press, Cambridge, MA, USA
-
Xing E.P., Ng A.Y., Jordan M.I., and Russell S. Distance metric learning, with application to clustering with side-information. In: Becker S., Thrun S., and Obermayer K. (Eds). Advances in Neural Information Processing Systems 15 (2003), MIT Press, Cambridge, MA, USA 505-512
-
(2003)
Advances in Neural Information Processing Systems 15
, pp. 505-512
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
17
-
-
1942517347
-
-
A. Bar-Hillel, T. Hertz, N. Shental, D. Weinshall, Learning distance functions using equivalence relations, in: Proceedings of the 20th International Conference on Machine Learning, 21-24 August 2003, Washington DC, USA, pp. 11-18.
-
-
-
-
18
-
-
84898968165
-
Computing Gaussian mixture models with EM using equivalence constraints
-
MIT Press, Cambridge, MA, USA
-
Shental N., Bar-Hillel A., Hertz T., and Weinshall D. Computing Gaussian mixture models with EM using equivalence constraints. Advances in Neural Information Processing Systems 16 (2004), MIT Press, Cambridge, MA, USA
-
(2004)
Advances in Neural Information Processing Systems 16
-
-
Shental, N.1
Bar-Hillel, A.2
Hertz, T.3
Weinshall, D.4
-
19
-
-
1942516950
-
-
J.T. Kwok, I.W. Tsang, Learning with idealized kernels, in: Proceedings of the 20th International Conference on Machine Learning, 21-24 August 2003, Washington DC, USA, pp. 400-407.
-
-
-
-
20
-
-
0036643352
-
On deformable models for visual pattern recognition
-
Cheung K.W., Yeung D.Y., and Chin R.T. On deformable models for visual pattern recognition. Pattern Recognition 35 7 (2002) 1507-1526
-
(2002)
Pattern Recognition
, vol.35
, Issue.7
, pp. 1507-1526
-
-
Cheung, K.W.1
Yeung, D.Y.2
Chin, R.T.3
-
21
-
-
14344262274
-
-
H. Chang, D.Y. Yeung, Locally linear metric adaptation for semi-supervised clustering, in: Proceedings of the 21st International Conference on Machine Learning, 4-8 August 2004, Banff, Alberta, Canada, pp. 153-160.
-
-
-
-
22
-
-
0029305517
-
Multidimensional scaling by iterative majorization using radial basis functions
-
Webb A.R. Multidimensional scaling by iterative majorization using radial basis functions. Pattern Recognition 28 5 (1995) 753-759
-
(1995)
Pattern Recognition
, vol.28
, Issue.5
, pp. 753-759
-
-
Webb, A.R.1
-
23
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 5500 (2000) 2323-2326
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
24
-
-
84950632109
-
Objective criteria for the evaluation of clustering methods
-
Rand W.M. Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66 (1971) 846-850
-
(1971)
J. Am. Stat. Assoc.
, vol.66
, pp. 846-850
-
-
Rand, W.M.1
-
25
-
-
0034498523
-
Content-based image retrieval at the end of the early years
-
Smeulders A., Worring M., Santini S., Gupta A., and Jain R. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intelligence 22 12 (2000) 1349-1380
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intelligence
, vol.22
, Issue.12
, pp. 1349-1380
-
-
Smeulders, A.1
Worring, M.2
Santini, S.3
Gupta, A.4
Jain, R.5
-
26
-
-
0042440883
-
-
T. Hertz, N. Shental, A. Bar-Hillel, D. Weinshall, Enhancing image and video retrieval: learning via equivalence constraints, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 18-20 June 2003, Madison, WI, USA, vol. 2, pp. 668-674.
-
-
-
-
28
-
-
0032166448
-
Relevance feedback: a power tool for interactive content-based image retrieval
-
Rui Y., Huang T.S., Ortega M., and Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Trans. Circuits Syst. Video Technol. 8 5 (1998) 644-655
-
(1998)
IEEE Trans. Circuits Syst. Video Technol.
, vol.8
, Issue.5
, pp. 644-655
-
-
Rui, Y.1
Huang, T.S.2
Ortega, M.3
Mehrotra, S.4
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