-
1
-
-
0037403111
-
Mirror descent and nonlinear projected subgradient methods for convex optimization
-
A. Beck and M. Teboulle, "Mirror descent and nonlinear projected subgradient methods for convex optimization", Operations Research Letters, vol. 31, pp. 167-175, 2003.
-
(2003)
Operations Research Letters
, vol.31
, pp. 167-175
-
-
Beck, A.1
Teboulle, M.2
-
5
-
-
0013309537
-
Online algorithms and stochastic approximations
-
D. Saad, ed., Cambridge University Press
-
L. Bottou, "Online algorithms and stochastic approximations", in Online Learning and Neural Networks, (D. Saad, ed.), Cambridge University Press, 1998.
-
(1998)
Online Learning and Neural Networks
-
-
Bottou, L.1
-
7
-
-
0002436271
-
A method for finding projections onto the intersection of convex sets in Hilbert spaces
-
J. P. Boyle and R. L. Dykstra, "A method for finding projections onto the intersection of convex sets in Hilbert spaces", Lecture Notes in Statistics, vol. 37, pp. 28-47, 1986.
-
(1986)
Lecture Notes in Statistics
, vol.37
, pp. 28-47
-
-
Boyle, J.P.1
Dykstra, R.L.2
-
8
-
-
49949144765
-
The relxation method of finding the common points of convex sets and its application to the solutionof problems in convex programming
-
L. M. Bregman, "The relxation method of finding the common points of convex sets and its application to the solutionof problems in convex programming", USSR Computational Mathematics and Mathematical Physics, vol. 7, no. 3, pp. 200-217, 1967.
-
(1967)
USSR Computational Mathematics and Mathematical Physics
, vol.7
, Issue.3
, pp. 200-217
-
-
Bregman, L.M.1
-
9
-
-
84887942717
-
-
arXiv
-
Q. Cao, Z. C. Guo, and Y. Ying, "Generalization bounds for metric and similarity learning", arXiv: 1207. 5437, 2012.
-
(2012)
Generalization Bounds for Metric and Similarity Learning
, vol.1207
, pp. 5437
-
-
Cao, Q.1
Guo, Z.C.2
Ying, Y.3
-
11
-
-
77952550960
-
A new kernelization framework for Mahalanobis distance learning algorithms
-
R. Chatpatanasiri, T. Korsrilabutr, P. Tangchanachaianan, and B. Kijsirikul, "A new kernelization framework for Mahalanobis distance learning algorithms", Neurocomputing, vol. 73, no. 10-12, pp. 1570-1579, 2010.
-
(2010)
Neurocomputing
, vol.73
, Issue.10-12
, pp. 1570-1579
-
-
Chatpatanasiri, R.1
Korsrilabutr, T.2
Tangchanachaianan, P.3
Kijsirikul, B.4
-
12
-
-
77951458444
-
An online algorithm for lrage scale image similarity learning
-
G. Chechik, V. Sharma, U. Shalit, and S. Bengio, "An online algorithm for lrage scale image similarity learning", in Advances in Neural Information Processing Systems (NIPS), 2009.
-
(2009)
Advances in Neural Information Processing Systems (NIPS)
-
-
Chechik, G.1
Sharma, V.2
Shalit, U.3
Bengio, S.4
-
13
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
S. Chopra, R. Hadsell, and Y. LeCun, "Learning a similarity metric discriminatively, with application to face verification", in Proceedin gs of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
-
(2005)
Proceedin Gs of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Chopra, S.1
Hadsell, R.2
Le Cun, Y.3
-
15
-
-
84898981455
-
Online passiveaggressive algorithms
-
K. Crammer, O. Dekel, S. Shalev-Shwartz, and Y. Singer, "Online passiveaggressive algorithms", in Advances in Neural Information Processing Systems, 2004.
-
(2004)
Advances in Neural Information Processing Systems
-
-
Crammer, K.1
Dekel, O.2
Shalev-Shwartz, S.3
Singer, Y.4
-
16
-
-
5044227712
-
3D texture recognition using bidirectional feature histograms
-
O. G. Cula and K. J. Dana, "3D texture recognition using bidirectional feature histograms", International Journal of Computer Vision (IJCV), vol. 59, no. 1, pp. 33-60, 2004.
-
(2004)
International Journal of Computer Vision (IJCV)
, vol.59
, Issue.1
, pp. 33-60
-
-
Cula, O.G.1
Dana, K.J.2
-
17
-
-
0344960572
-
-
Curious Labs, Inc., Santa Cruz, CA
-
Curious Labs, Inc., Poser 5 - Reference Manual. Santa Cruz, CA, 2002.
-
(2002)
Poser 5 - Reference Manual
-
-
-
20
-
-
34547996209
-
Information-theoretic metric learning
-
J. Davis, B. Kulis, P. Jain, S. Sra, and I. Dhillon, "Information- theoretic metric learning", in Proceedings of International Conference on Machine Learning (ICML), 2007.
-
(2007)
Proceedings of International Conference on Machine Learning (ICML)
-
-
Davis, J.1
Kulis, B.2
Jain, P.3
Sra Sra, S.4
Dhillon, I.5
-
21
-
-
84964316606
-
A new variational result for quasi-Newton formulae
-
R. Fletcher, "A new variational result for quasi-Newton formulae", SIAM Journal on Optimization, vol. 1, no. 1, 1991.
-
(1991)
SIAM Journal on Optimization
, vol.1
, Issue.1
-
-
Fletcher, R.1
-
22
-
-
84945709355
-
An algorithm for finding best matches in logarithmic expected time
-
J. Friedman, J. Bentley, and A. Finkel, "An algorithm for finding best matches in logarithmic expected time", ACM Transactions on Mathematics Software, vol. 3, no. 3, pp. 209-226, 1977.
-
(1977)
ACM Transactions on Mathematics Software
, vol.3
, Issue.3
, pp. 209-226
-
-
Friedman, J.1
Bentley, J.2
Finkel, A.3
-
23
-
-
50649117726
-
Learning globally consistent local distance functions for shape-based image retrieval and classification
-
A. Frome, Y. Singer, F. Sha, and J. Malik, "Learning globally consistent local distance functions for shape-based image retrieval and classification", in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2007.
-
(2007)
Proceedings of IEEE International Conference on Computer Vision (ICCV)
-
-
Frome, A.1
Singer, Y.2
Sha, F.3
Malik, J.4
-
24
-
-
4444231365
-
A survey of kernels for structured data
-
T. Gaertner, "A survey of kernels for structured data", ACM SIGKDD Explorations Newsletter, vol. 5, no. 1, 2003.
-
(2003)
ACM SIGKDD Explorations Newsletter
, vol.5
, Issue.1
-
-
Gaertner, T.1
-
26
-
-
33745887620
-
Neighbourhood components analysis
-
J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov, "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
-
29
-
-
34247576789
-
The pyramid match kernel: Efficient learning with sets of features
-
K. Grauman and T. Darrell, "The pyramid match kernel: Efficient learning with sets of features", Journal of Machine Learning Research, vol. 8, pp. 725-760, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 725-760
-
-
Grauman, K.1
Darrell, T.2
-
31
-
-
35448971003
-
Improved error reporting for software that uses black box components
-
J. Ha, C. Rossbach, J. Davis, I. Roy, D. Chen, H. Ramadan, and E. Witchel, "Improved error reporting for software that uses black box components", in Proceedings of Programming Language Design and Implementation (PLDI), 2007.
-
(2007)
Proceedings of Programming Language Design and Implementation (PLDI)
-
-
Ha, J.1
Rossbach, C.2
Davis, J.3
Roy, I.4
Chen, D.5
Ramadan, H.6
Witchel, E.7
-
32
-
-
33845594193
-
Learning distance metrics with contextual constraints for image retrieval
-
S. C. H. Hoi, W. Liu, M. R. Lyu, and W. Y. Ma, "Learning distance metrics with contextual constraints for image retrieval", in Proceedin gs of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
-
(2006)
Proceedin Gs of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Hoi, S.C.H.1
Liu, W.2
Lyu, M.R.3
Ma, W.Y.4
-
35
-
-
84859478057
-
Metric and kernel learning using a linear transformation
-
P. Jain, B. Kulis, J. Davis, and I. Dhillon, "Metric and kernel learning using a linear transformation", Journal of Machine Learning Research, vol. 13, pp. 519-547, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 519-547
-
-
Jain, P.1
Kulis, B.2
Davis, J.3
Dhillon, I.4
-
37
-
-
84858775391
-
Online metric learning and fast similarity search
-
P. Jain, B. Kulis, I. Dhillon, and K. Grauman, "Online metric learning and fast similarity search", in Advances in Neural Information Processing Systems (NIPS), 2008.
-
(2008)
Advances in Neural Information Processing Systems (NIPS)
-
-
Jain, P.1
Kulis, B.2
Dhillon, I.3
Grauman, K.4
-
42
-
-
84877777250
-
Nonlinear metric learning
-
D. Kedem, S. Tyree, K. Q. Weinberger, F. Sha, and G. Lanckriet, "Nonlinear metric learning", in Advances in Neural Information Processing Systems (NIPS), 2012.
-
(2012)
Advances in Neural Information Processing Systems (NIPS)
-
-
Kedem, D.1
Tyree, S.2
Weinberger, K.Q.3
Sha, F.4
Lanckriet, G.5
-
43
-
-
70350618771
-
Fast similarity search for learned metrics
-
B. Kulis, P. Jain, and K. Grauman, "Fast similarity search for learned metrics", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 12, pp. 2143-2157, 2009.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.12
, pp. 2143-2157
-
-
Kulis, B.1
Jain, P.2
Grauman, K.3
-
46
-
-
61749094150
-
Low-rank kernel learning with Bregman matrix divergences
-
B. Kulis, M. Sustik, and I. Dhillon, "Low-rank kernel learning with Bregman matrix divergences", Journal of Machine Learning Research, vol. 10, pp. 341-376, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 341-376
-
-
Kulis, B.1
Sustik, M.2
Dhillon, I.3
-
48
-
-
33144478661
-
Metric learning for text documents
-
G. Lebanon, "Metric learning for text documents", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 4, pp. 497-508, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.4
, pp. 497-508
-
-
Lebanon, G.1
-
50
-
-
0041965869
-
Text classification using string kernels
-
H. Lodhi, C. Saunders, J. Shawe-Taylor, N. Cristanini, and C. Watkins, "Text classification using string kernels", Journal of Machine Learning Research, vol. 2, pp. 419-444, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 419-444
-
-
Lodhi, H.1
Saunders, C.2
Shawe-Taylor, J.3
Cristanini, N.4
Watkins, C.5
-
51
-
-
0002975203
-
On the generalized distance in statistics
-
P. C. Mahalanobis, "On the generalized distance in statistics", Proceedigs of the National Institute of Sciences of India, vol. 2, no. 1, pp. 49-55, 1936.
-
(1936)
Proceedigs of the National Institute of Sciences of India
, vol.2
, Issue.1
, pp. 49-55
-
-
Mahalanobis, P.C.1
-
57
-
-
80052906503
-
Adapting visual category models to new domains
-
K. Saenko, B. Kulis, M. Fritz, and T. Darrell, "Adapting visual category models to new domains", in Proceedings of European Conference on Computer Vision (ECCV), 2010.
-
(2010)
Proceedings of European Conference on Computer Vision (ECCV)
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
60
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Schoelkopf, A. Smola, and K.-R. Mueller, "Nonlinear component analysis as a kernel eigenvalue problem", Neural Computation, vol. 10, no. 5, pp. 1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Schoelkopf, B.1
Smola, A.2
Mueller, K.-R.3
-
69
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, "Regression shrinkage and selection via the lasso", Journal of the Royal Statistical Society, Series B, vol. 58, no. 1, pp. 267-288, 1996.
-
(1996)
Journal of the Royal Statistical Society, Series B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
70
-
-
0038959172
-
Probabilistic principal component analysis
-
M. E. Tipping and C. M. Bishop, "Probabilistic principal component analysis", Journal of Royal Statistical Society, Series B, vol. 21, no. 3, pp. 611-622, 1999.
-
(1999)
Journal of Royal Statistical Society, Series B
, vol.21
, Issue.3
, pp. 611-622
-
-
Tipping, M.E.1
Bishop, C.M.2
-
73
-
-
47549083305
-
Local invariant feature detectors: A survey
-
T. Tuytelaars and K. Mikolajczyk, "Local invariant feature detectors: A survey", Foundations and Trends in Computer Graphics and Vision, vol. 3, no. 3, pp. 177-280, 2008.
-
(2008)
Foundations and Trends in Computer Graphics and Vision
, vol.3
, Issue.3
, pp. 177-280
-
-
Tuytelaars, T.1
Mikolajczyk, K.2
-
74
-
-
0026256261
-
Satisfying general proximity/similarity queries with metric trees
-
J. Uhlmann, "Satisfying general proximity/similarity queries with metric trees", Information Processing Letters, vol. 40, pp. 175-179, 1991.
-
(1991)
Information Processing Letters
, vol.40
, pp. 175-179
-
-
Uhlmann, J.1
-
75
-
-
70349850950
-
A statistical approach to material classification using image patch exemplars
-
M. Varma and A. Zisserman, "A statistical approach to material classification using image patch exemplars", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 11, pp. 2032-2047, 2009.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.11
, pp. 2032-2047
-
-
Varma, M.1
Zisserman, A.2
-
78
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
K. Q. Weinberger and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification", Journal of Machine Learning Research, vol. 10, pp. 207-244, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
80
-
-
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 Advances in Neural Information Processing Systems (NIPS), 2002.
-
(2002)
Advances in Neural Information Processing Systems (NIPS)
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
81
-
-
33746131974
-
Kernel-based distance metric learning for microarray data classification
-
H. Xiong and X. Chen, "Kernel-based distance metric learning for microarray data classification", BMC Bioinformatics, vol. 7, p. 299, 2006.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 299
-
-
Xiong, H.1
Chen, X.2
-
83
-
-
84857513492
-
Distance metric learning with eigenvalue optimization
-
Y. Ying and P. Li, "Distance metric learning with eigenvalue optimization", Journal of Machine Learning Research, vol. 13, pp. 1-26, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 1-26
-
-
Ying, Y.1
Li, P.2
|