-
1
-
-
84898946229
-
Support vector machines for multiple-instance learning
-
Andrews, S., Tsochantaridis, I., and Hofmann, T. Support vector machines for multiple-instance learning. In NIPS, 2003.
-
(2003)
NIPS
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
2
-
-
84859767140
-
A boosting approach to multiple instance learning
-
Auer, P. and Ortner, R. A boosting approach to multiple instance learning. In ECML, 2004.
-
(2004)
ECML
-
-
Auer, P.1
Ortner, R.2
-
3
-
-
70450188146
-
Visual tracking with online multiple instance learning
-
Babenko, B., Yang, M-H., and Belongie, S. Visual tracking with online multiple instance learning. In CVPR, 2009.
-
(2009)
CVPR
-
-
Babenko, B.1
Yang, M.-H.2
Belongie, S.3
-
4
-
-
84900675076
-
Diffrac: A discriminative and flexible framework for clustering
-
Bach, F. and Harchaoui, Z. Diffrac : a discriminative and flexible framework for clustering. In NIPS, 2007.
-
(2007)
NIPS
-
-
Bach, F.1
Harchaoui, Z.2
-
5
-
-
0041876117
-
Matching words and pictures
-
Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D., and Jordan, M. I. Matching words and pictures. JMLR, 3:1107-1135, 2003.
-
(2003)
JMLR
, Issue.3
, pp. 1107-1135
-
-
Barnard, K.1
Duygulu, P.2
Forsyth, D.3
De Freitas, N.4
Blei, D.5
Jordan, M.I.6
-
6
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
Beck, A. and Teboulle, M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2(1):183-202, 2009.
-
(2009)
SIAM Journal on Imaging Sciences
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
7
-
-
31844443290
-
Regularization and semi-supervised learning on large graphs
-
Belkin, M., Matveeva, I., and Niyogi, P. Regularization and semi-supervised learning on large graphs. In COLT, 2004.
-
(2004)
COLT
-
-
Belkin, M.1
Matveeva, I.2
Niyogi, P.3
-
8
-
-
0000127135
-
Semi-supervised support vector machines
-
Bennett, K. and Demiriz, A. Semi-supervised support vector machines. In NIPS, 1998.
-
(1998)
NIPS
-
-
Bennett, K.1
Demiriz, A.2
-
10
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
Blum, A. and Mitchell, T. Combining labeled and unlabeled data with co-training. In COLT, 1998.
-
(1998)
COLT
-
-
Blum, A.1
Mitchell, T.2
-
12
-
-
1542337156
-
A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
-
Burer, S. and Monteiro, R. D. C. A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization. Mathematical Programming, 2003.
-
(2003)
Mathematical Programming
-
-
Burer, S.1
Monteiro, R.D.C.2
-
14
-
-
84863161940
-
Image categorization by learning and reasoning with regions
-
Chen, Y. and Wang, James Z. Image categorization by learning and reasoning with regions. JMLR, 2004.
-
(2004)
JMLR
-
-
Chen, Y.1
Wang, J.Z.2
-
15
-
-
70450175499
-
Learning from ambiguously labeled images
-
Cour, T., Sapp, Ben, Jordan, Chris, and Taskar, Ben. Learning from ambiguously labeled images. In CVPR, 2009.
-
(2009)
CVPR
-
-
Cour, T.1
Sapp, B.2
Jordan, C.3
Taskar, B.4
-
16
-
-
33749243962
-
Discriminative cluster analysis
-
De la Torre, F. and Takeo, K. Discriminative cluster analysis. In ICML, 2006.
-
(2006)
ICML
-
-
De La Torre, F.1
Takeo, K.2
-
17
-
-
0030649484
-
Solving the multipleinstance problem with axis-parallel rectangles
-
Dietterich, T. G. and Lathrop, R. H. Solving the multipleinstance problem with axis-parallel rectangles. Artificial Intelligence, 89:31-71, 1997.
-
(1997)
Artificial Intelligence
, vol.89
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
-
18
-
-
0001489493
-
An iterative procedure for estimation in contingency tables
-
Fienberg, S.E. An iterative procedure for estimation in contingency tables. The Annals of Mathematical Statistics, pp. 907-917, 1970.
-
(1970)
The Annals of Mathematical Statistics
, pp. 907-917
-
-
Fienberg, S.E.1
-
19
-
-
4444252785
-
Multi-instance kernels
-
Gärtner, T., Flach, P. A., Kowalczyk, A., and Smola, A. J. Multi-instance kernels. In ICML, 2002.
-
(2002)
ICML
-
-
Gärtner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
20
-
-
58049100940
-
Deterministic annealing for multiple-instance learning
-
Gehler, P. V. and Chapelle, O. Deterministic annealing for multiple-instance learning. In AISTATS, 2007.
-
(2007)
AISTATS
-
-
Gehler, P.V.1
Chapelle, O.2
-
21
-
-
84893574327
-
Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
-
Goemans, M. X. and Williamson, D.P. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM, 42:1115-1145, 1995.
-
(1995)
Journal of the ACM
, vol.42
, pp. 1115-1145
-
-
Goemans, M.X.1
Williamson, D.P.2
-
22
-
-
85162026055
-
Convex relaxations of latent variable training
-
Guo, Y. and Schuurmans, D. Convex relaxations of latent variable training. In NIPS, 2008.
-
(2008)
NIPS
-
-
Guo, Y.1
Schuurmans, D.2
-
24
-
-
70450118721
-
Learning from ambiguously labeled examples
-
Hullermeier, E. and Beringer, J. Learning from ambiguously labeled examples. In IDA, 2006.
-
(2006)
IDA
-
-
Hullermeier, E.1
Beringer, J.2
-
25
-
-
84899032037
-
Learning with multiple labels
-
Jin, R. and Ghahramani, Z. Learning with multiple labels. In NIPS, 2003.
-
(2003)
NIPS
-
-
Jin, R.1
Ghahramani, Z.2
-
27
-
-
85162063413
-
Efficient optimization for discriminative latent class models
-
Joulin, A., Bach, F., and Ponce, J. Efficient optimization for discriminative latent class models. In NIPS, 2010.
-
(2010)
NIPS
-
-
Joulin, A.1
Bach, F.2
Ponce, J.3
-
28
-
-
77956086700
-
Low-rank optimization on the cone of positive semidefinite matrices
-
Journée, M., Bach, F., Absil, P.-A., and Sepulchre, R. Low-rank optimization on the cone of positive semidefinite matrices. SIAM Journal on Optimization, 20(5):2327-2351, 2010.
-
(2010)
SIAM Journal on Optimization
, vol.20
, Issue.5
, pp. 2327-2351
-
-
Journée, M.1
Bach, F.2
Absil, P.-A.3
Sepulchre, R.4
-
29
-
-
84880884345
-
Marginalized multi-instance kernels
-
Kwok, J. T. and Cheung, P. Marginalized multi-instance kernels. In IJCAI, 2007.
-
(2007)
IJCAI
-
-
Kwok, J.T.1
Cheung, P.2
-
30
-
-
76749107542
-
Online learn-ing for matrix factorization and sparse coding
-
Mairal, J., Bach, F., Ponce, J., and Sapiro, G. Online learn-ing for matrix factorization and sparse coding. JMLR, 2010.
-
(2010)
JMLR
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
31
-
-
0002288190
-
L. Multiple-instance learning for natural scene classification
-
Maron, O. and Ratan, A. L. Multiple-instance learning for natural scene classification. In ICML, 1998.
-
(1998)
ICML
-
-
Maron, O.1
Ratan, A.2
-
32
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
Ng, A. Y., Jordan, M. I., and Weiss, Y. On spectral clustering: Analysis and an algorithm. In NIPS, 2001.
-
(2001)
NIPS
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
33
-
-
31844448950
-
Supervised Versus Multiple Instance Learning: An Empirical Comparison
-
Ray, S. and Craven, M. Supervised Versus Multiple Instance Learning: An Empirical Comparison. In ICML, 2005.
-
(2005)
ICML
-
-
Ray, S.1
Craven, M.2
-
34
-
-
45549083257
-
Multiple instance boosting for object detection
-
Viola, P., Piatt, John C., and Zhang, C. Multiple instance boosting for object detection. In NIPS, 2006.
-
(2006)
NIPS
-
-
Viola, P.1
Piatt, J.C.2
Zhang, C.3
-
35
-
-
56449086489
-
Adaptive p-posterior mixture-model kernels for multiple instance learning
-
Wang, H.-Y., Yang, Q., and Zha, H. Adaptive p-posterior mixture-model kernels for multiple instance learning. In ICML, 2008.
-
(2008)
ICML
-
-
Wang, H.-Y.1
Yang, Q.2
Zha, H.3
-
36
-
-
0141596676
-
Solving multiple-instance problem: A lazy learning approach
-
Wang, J. and Zucker, J. Solving multiple-instance problem: A lazy learning approach. In ICML, 2000.
-
(2000)
ICML
-
-
Wang, J.1
Zucker, J.2
-
37
-
-
56449089515
-
Unsupervised and semisupervised multi-class support vector machines
-
Xu, L. and Schuurmans, D. Unsupervised and semisupervised multi-class support vector machines. In AAAI, 2005.
-
(2005)
AAAI
-
-
Xu, L.1
Schuurmans, D.2
-
38
-
-
84898944155
-
Maximum margin clustering
-
Xu, L., Neufeld, J., Larson, B., and Schuurmans, D. Maximum margin clustering. In NIPS, 2005.
-
(2005)
NIPS
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
-
39
-
-
31844447172
-
Logistic regression and boosting for labeled bags of instances
-
Xu, X. and Frank, E. Logistic regression and boosting for labeled bags of instances. In KDDM, 2004.
-
(2004)
KDDM
-
-
Xu, X.1
Frank, E.2
-
40
-
-
0033884407
-
Image database retrieval with multiple-instance learning techniques
-
Yang, C. Image database retrieval with multiple-instance learning techniques. In ICDE, 2000.
-
(2000)
ICDE
-
-
Yang, C.1
-
41
-
-
31444436020
-
Adapting rbf neural networks to multi-instance learning
-
Zhang, M. and Zhou, Z. Adapting rbf neural networks to multi-instance learning. Neural Processing Letters, 23 (1):1-26, 2006.
-
(2006)
Neural Processing Letters
, vol.23
, Issue.1
, pp. 1-26
-
-
Zhang, M.1
Zhou, Z.2
-
42
-
-
0012349465
-
Em-dd: An improved multiple-instance learning technique
-
Zhang, Q. and Goldman, S. A. Em-dd: An improved multiple-instance learning technique. In NIPS, 2001.
-
(2001)
NIPS
-
-
Zhang, Q.1
Goldman, S.A.2
-
43
-
-
56449113208
-
On the relation between multi-instance learning and semi-supervised learning
-
Zhou, Z. and Xu, J. On the relation between multi-instance learning and semi-supervised learning. In ICML, 2007.
-
(2007)
ICML
-
-
Zhou, Z.1
Xu, J.2
|