-
1
-
-
0033897023
-
The bayesian image retrieval system, PicHunter: Theory, implementation, and psychophysical experiments
-
Jan.
-
Cox, I.J., Miller, M.L., Minka, T.P., Papathornas, T.V., Yianilos, P.N. The Bayesian Image Retrieval System, PicHunter: Theory, Implementation, and Psychophysical Experiments. In IEEE Tran. On Image Processing, Volume 9, Issue 1, pp. 20-37, Jan. 2000.
-
(2000)
IEEE Tran. on Image Processing
, vol.9
, Issue.1
, pp. 20-37
-
-
Cox, I.J.1
Miller, M.L.2
Minka, T.P.3
Papathornas, T.V.4
Yianilos, P.N.5
-
2
-
-
0030383588
-
Comparing Images Using Color Coherence Vectors
-
Greg Pass and Ramin Zabih and Justin Miller. Comparing Images Using Color Coherence Vectors. In ACM Multimedia, 65-73, 1996.
-
(1996)
ACM Multimedia
, pp. 65-73
-
-
Pass, G.1
Zabih, R.2
Miller, J.3
-
4
-
-
33646512782
-
Learning with equivalence constraints, and the relation to multiclass classification
-
A. Bar-hillel, D. Weinshall Learning with Equivalence Constraints, and the relation to Multiclass Classification In Proc. of COLT, 2003
-
(2003)
Proc. of COLT
-
-
Bar-Hillel, A.1
Weinshall, D.2
-
6
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A. P. Dempster, N. M. Laird and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. In J. Royal Statistical Society, B, 39, 1-38, 1977.
-
(1977)
J. Royal Statistical Society, B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
7
-
-
84905384694
-
From few to many: Generative models for recognition under variable pose and illumination
-
Georghiades, A.S. and Belhumeur, P.N. and Kriegman, D.J., From Few To Many: Generative Models For Recognition Under Variable Pose and Illumination", IEEE Int. Conf. on Automatic Face and Gesture Recognition, page 277-284, 2000.
-
(2000)
IEEE Int. Conf. on Automatic Face and Gesture Recognition
, pp. 277-284
-
-
Georghiades, A.S.1
Belhumeur, P.N.2
Kriegman, D.J.3
-
10
-
-
0001920729
-
Simlarity metric learning for a variable-kernel classifier
-
D. G. Lowe. Simlarity metric learning for a variable-kernel classifier. Neural Computation 7:72-85, 1995.
-
(1995)
Neural Computation
, vol.7
, pp. 72-85
-
-
Lowe, D.G.1
-
11
-
-
0031633979
-
Improved boosting algorithms using confidence-rated predictions
-
R. E. Schapire and Y. Singer Improved Boosting Algorithms using Confidence-Rated Predictions. In Proc. of COLT 1998 , 80-91.
-
(1998)
Proc. of COLT
, pp. 80-91
-
-
Schapire, R.E.1
Singer, Y.2
-
12
-
-
0002595663
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. of ICML 1997, 322-330.
-
(1997)
Proc. of ICML
, pp. 322-330
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
15
-
-
5044223119
-
-
http://www.ics.uci.edu/mlearn/MLRepository.html
-
-
-
-
17
-
-
85133386144
-
Distance metric learning with application to clustering with side-information
-
E. P. Xing, A. Y. Ng, M. I. Jordan and S. Russell. Distance Metric learning with application to clustering with side-information. In Proc. of NIPS, 2002.
-
(2002)
Proc. of NIPS
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
18
-
-
5044240339
-
Metric learning via normal mixtures
-
P. N. Yianilos. Metric learning via normal mixtures. NECRI TR, 1995.
-
(1995)
NECRI TR
-
-
Yianilos, P.N.1
-
19
-
-
0242614038
-
Boosting mixture models for semi supervised learning
-
Vienne, Austria, 41-48, Springer
-
Y. Grandvalet, F. d'Alche-Bue, and C. Ambroise. Boosting mixture models for semi supervised learning in ICANN 2001, Vienne, Austria, 41-48, Springer 2001.
-
(2001)
ICANN 2001
-
-
Grandvalet, Y.1
D'Alche-Bue, F.2
Ambroise, C.3
|