-
1
-
-
84898946229
-
Support vector machines for multiple-instance learning
-
Andrews, Stuart, Tsochantaridis, Ioannis, and Hofmann, Thomas. Support vector machines for multiple-instance learning, 2003. NIPS.
-
(2003)
NIPS
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
2
-
-
0030649484
-
Solving the multiple-instance problem with axis-parallel rectangles
-
Dietterich, Thomas G., Lathrop, Richard H., and Lozano-Perez, Tomas. Solving the multiple-instance 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
Lozano-Perez, T.3
-
3
-
-
0003591748
-
Greedy function approximation: A grar dient boosting machine
-
Stanford University
-
Friedman, J. Greedy function approximation: a grar dient boosting machine, 1999. Technical Report, Dept. of Statistics, Stanford University.
-
(1999)
Technical Report, Dept. of Statistics
-
-
Friedman, J.1
-
4
-
-
4444252785
-
Multi-instance kernels
-
Gärtner, Thomas, Flach, Peter A., Kowalczyk, Adam, and Smola, Alex J. Multi-instance kernels, 2002. ICML.
-
(2002)
ICML
-
-
Gärtner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
5
-
-
58049100940
-
Deterministic annealing for multiple-instance learning
-
Gehler, Peter V. and Chapelle, Olivier. Deterministic annealing for multiple-instance learning, 2007. AIS-TATS.
-
(2007)
AIS-TATS
-
-
Gehler, P.V.1
Chapelle, O.2
-
7
-
-
84898935332
-
A framework for multiple-instance learning
-
Maron, Oded and Lozano-Perez, Tomas. A framework for multiple-instance learning, 1998. NIPS.
-
(1998)
NIPS
-
-
Maron, O.1
Lozano-Perez, T.2
-
8
-
-
77953182042
-
Weakly supervised discriminative localization and classification: A joint learning process
-
Nguyen, N. H., Torresani, L., de la Torre, F., and Rother, C. Weakly supervised discriminative localization and classification: a joint learning process, 2009. ICCV.
-
(2009)
ICCV
-
-
Nguyen, N.H.1
Torresani, L.2
De La Torre, F.3
Rother, C.4
-
10
-
-
56449092895
-
Bayesian multiple instance learning: Automatic feature selection and inductive transfer
-
Raykar, Vikas C., Krishnapuram, Balaji, Bi, Jinbo, Dundar, Murat, and Rao, R. Bharat. Bayesian multiple instance learning: Automatic feature selection and inductive transfer, 2008. ICML.
-
(2008)
ICML
-
-
Raykar, V.C.1
Krishnapuram, B.2
Bi, J.3
Dundar, M.4
Rao, R.B.5
-
11
-
-
14344261849
-
SVM-based generalized multiple-instance learning via approximate box counting
-
Tao, Qingping, Scott, Stephen, Vinodchandran, N. V., and Osugi, Thomas Takeo. SVM-based generalized multiple-instance learning via approximate box counting, 2004. ICML.
-
(2004)
ICML
-
-
Tao, Q.1
Scott, S.2
Vinodchandran, N.V.3
Osugi, T.T.4
-
12
-
-
84864049528
-
Multiple instance boosting for object detection
-
Viola, Paul A., Piatt, John C., and Zhang, Cha. Multiple instance boosting for object detection, 2005. NIPS.
-
(2005)
NIPS
-
-
Viola, P.A.1
Piatt, J.C.2
Zhang, C.3
-
13
-
-
0141596676
-
Solving the multiple-instance problem: A lazy learning approach
-
Wang, Jun and Zucker, Jean-Daniel. Solving the multiple-instance problem: A lazy learning ap-proach, 2000. ICML.
-
(2000)
ICML
-
-
Wang, J.1
Zucker, J.-D.2
-
14
-
-
0344425673
-
Content-based image retrieval using multiple-instance learning
-
Zhang, Qi, Goldman, Sally A., Yu, Wei, and Fritts, Jason E. Content-based image retrieval using multiple- instance learning, 2002. ICML.
-
(2002)
ICML
-
-
Zhang, Q.1
Goldman, S.A.2
Yu, W.3
Fritts, J.E.4
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