-
1
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez, " Solving the Multiple Instance Problem with Axis-Parallel Rectangles," Artificial Intelligence, vol. 89, no. 1-2, pp. 31-71, 1997.
-
(1997)
Artificial Intelligence
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Pérez, T.3
-
2
-
-
84866376560
-
Sparse coding and classifier ensemble based multi-instance learning for image categorization
-
X.-F. Song, L.-C. Jiao, S.-Y. Yang, X.-R. Zhang, and F.-H. Shang, " Sparse Coding and Classifier Ensemble based Multi-Instance Learning for Image Categorization," Signal Processing, vol. 93, pp. 1-11, 2013.
-
(2013)
Signal Processing
, vol.93
, pp. 1-11
-
-
Song, X.-F.1
Jiao, L.-C.2
Yang, S.-Y.3
Zhang, X.-R.4
Shang, F.-H.5
-
3
-
-
84898946229
-
Support vector machines for multiple-instance learning
-
Cambridge, MA: MIT Press
-
S. Andrews, I. Tsochantaridis, and T. Hofmann, "Support Vector Machines for Multiple-Instance Learning, " in Advances in Neural Information Proce ssing Systems 15. Cambridge, MA: MIT Press, 2003, pp. 561-568.
-
(2003)
Advances in Neural Information Proce Ssing Systems
, vol.15
, pp. 561-568
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
4
-
-
85161981564
-
Multi-instance learning pruning for learning efficient cascade detectors
-
Cambridge, MA: MIT Press
-
C. Zhang and P. Viola, "Multi-Instance Learning Pruning for Learning Efficient Cascade Detectors, " in Advances in Neural Information Pro cessing Systems 20. Cambridge, MA: MIT Press, 2008, pp. 1681-1688.
-
(2008)
Advances in Neural Information Pro Cessing Systems
, vol.20
, pp. 1681-1688
-
-
Zhang, C.1
Viola, P.2
-
5
-
-
84864047275
-
Multiple instance learning for computer aided diagnosis
-
Cambridge, MA: MIT Press
-
G. Fung, M. Dundar, B. Krishnapuram, and R. B. Rao, " Multiple Instance Learning for Computer Aided Diagnosis," in Advances in Neural Information Processing Systems 19. Cambridge, MA: MIT Press, 2007, pp. 425-432.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 425-432
-
-
Fung, G.1
Dundar, M.2
Krishnapuram, B.3
Rao, R.B.4
-
6
-
-
84863131267
-
Web horror image recognition based on context-Aware multi-instance learning
-
Vancouver, Canada
-
B. Li, W. Xiong, and W. Hu, "Web Horror Image Recognition based on Context-Aware Multi-Instance Learning, " in Proc. IEEE 11th Int'l Conf. Data Mining, Vancouver, Canada, 2011, pp. 1158-1163.
-
(2011)
Proc. IEEE 11th Int'l Conf. Data Mining
, pp. 1158-1163
-
-
Li, B.1
Xiong, W.2
Hu, W.3
-
7
-
-
84879815802
-
Multiple instance classification: Review, taxonomy and comparative study
-
J. Amores, "Multiple Instance Classification: Review, Taxonomy and Comparative Study, " Artificial Intelligence, vol. 201, pp. 81-105, 2013.
-
(2013)
Artificial Intelligence
, vol.201
, pp. 81-105
-
-
Amores, J.1
-
8
-
-
33947396751
-
Solving multi-instance problems with classifier ensemble based on constructive clustering
-
Z.-H. Zhou and M.-L. Zhang, "Solving Multi-Instance Problems with Classifier Ensemble based on Constructive Clustering, " Knowledge and Information Systems, vol. 11, pp. 155-170, 2007.
-
(2007)
Knowledge and Information Systems
, vol.11
, pp. 155-170
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
-
9
-
-
33947180489
-
Miles: Multiple-instance learning via embedded instance selection
-
Y. Chen, J. Bi, and J.-Z. Wang, "MILES: Multiple-Instance Learning via Embedded Instance Selection, " IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 1931-1947, 2006.
-
(2006)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.28
, Issue.12
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.-Z.3
-
10
-
-
7444219637
-
Logistic regression and boosting for labeled bags of instances
-
Sydney, Australia
-
X. Xu and E. Frank, "Logistic Regression and Boosting for Labeled Bags of Instances, " in Proc. 8th Pacific-Asia Conf. Knowledge Discovery and Data Mining, Sydney, Australia, 2004, pp. 272-281.
-
(2004)
Proc. 8th Pacific-Asia Conf. Knowledge Discovery and Data Mining
, pp. 272-281
-
-
Xu, X.1
Frank, E.2
-
11
-
-
71149085943
-
Multi-instance learning by treating instances as non-i.i.d. Samples
-
Montreal, Canada
-
Z.-H. Zhou, Y.-Y. Sun, and Y.-F. Li, "Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples, " in Proc. 26th Int'l Conf. Machine Learning, Montreal, Canada, 2009, pp. 1249-1256.
-
(2009)
Proc. 26th Int'l Conf. Machine Learning
, pp. 1249-1256
-
-
Zhou, Z.-H.1
Sun, Y.-Y.2
Li, Y.-F.3
-
12
-
-
84863161940
-
Image categorization by learning and reasoning with regions
-
Y.-X. Chen and J. Z. Wang, "Image Categorization by Learning and Reasoning with Regions, " J. Machine Learning Rese arch, vol. 5, pp. 913-939, 2004.
-
(2004)
J. Machine Learning Rese Arch
, vol.5
, pp. 913-939
-
-
Chen, Y.-X.1
Wang, J.Z.2
-
13
-
-
34547984757
-
On the relation between multi-instance learning and semi-supervised learning
-
Corvallis, OR
-
Z.-H. Zhou and J.-M. Xu, "On the Relation between Multi-Instance Learning and Semi-Supervised Learning, " in Proc. 24th Int'l Conf. Machine Learning, Corvallis, OR, 2007, pp. 1167-1174.
-
(2007)
Proc. 24th Int'l Conf. Machine Learning
, pp. 1167-1174
-
-
Zhou, Z.-H.1
Xu, J.-M.2
-
14
-
-
84883487458
-
Image classification with the fisher vector: Theory and practice
-
J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek, " Image Classification with the Fisher Vector: Theory and Practice," Int'l J. Computer Vision, vol. 105, no. 3, pp. 222-245, 2013.
-
(2013)
Int'l J. Computer Vision
, vol.105
, Issue.3
, pp. 222-245
-
-
Sánchez, J.1
Perronnin, F.2
Mensink, T.3
Verbeek, J.4
-
15
-
-
84898982939
-
Exploiting generative models in discriminative classifiers
-
Cambridge, MA: MIT Press
-
T. Jaakkola and D. Haussler, "Exploiting Generative Models in Discriminative Classifiers, " in Advances in Neural Information Processing Systems 11. Cambridge, MA: MIT Press, 1999, pp. 487-493.
-
(1999)
Advances in Neural Information Processing Systems
, vol.11
, pp. 487-493
-
-
Jaakkola, T.1
Haussler, D.2
-
16
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
Minneapolis, Minnesota
-
F. Perronnin and C. Dance, "Fisher Kernels on Visual Vocabularies for Image Categorization, " in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Minneapolis, Minnesota, 2007, pp. 1-8.
-
(2007)
Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition
, pp. 1-8
-
-
Perronnin, F.1
Dance, C.2
-
17
-
-
58349091391
-
-
University of Waikato, Department of Computer Science, University of Waikato, Hamilton, NZ, Tech. Rep
-
E. T. Frank and X. Xu, "Applying propositional learning algorithms to multi-inst ance data," University of Waikato, Department of Computer Science, University of Waikato, Hamilton, NZ, Tech. Rep., 2003.
-
(2003)
Applying Propositional Learning Algorithms to Multi-Inst Ance Data
-
-
Frank, E.T.1
Xu, X.2
-
18
-
-
84990208062
-
Em-dd: An improved multiple-instance learning technique
-
San Diego, California, USA
-
Q. Zhang and S. A. Goldman, "EM-DD: An Improved Multiple-Instance Learning Technique, " in Proc. 16th IEEE Int'l Conf. Data Eng., San Diego, California, USA, 2000, pp. 233-243.
-
(2000)
Proc. 16th IEEE Int'l Conf. Data Eng
, pp. 233-243
-
-
Zhang, Q.1
Goldman, S.A.2
-
19
-
-
85014560717
-
Mi2ls: Multi-instance learning from multiple information sources
-
Chicago, Illinois
-
D. Zhang,J. He,R. Lawrence MI2LS: Multi-Instance Learning from Multiple Information Sources," in Proc. 19th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, Chicago, Illinois 2013 149-157.
-
(2013)
Proc. 19th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 149-157
-
-
Zhang, D.1
He, J.2
Lawrence, R.3
-
20
-
-
84990191709
-
Multiple-instance learning for natural scene classification
-
Williamstown, MA
-
O. Maron and A. L. Ratan, "Multiple-Instance Learning for Natural Scene Classification, " in Proc. 18th Int'l Conf. Machine Learning, Williamstown, MA, 2001, pp. 425-432.
-
(2001)
Proc. 18th Int'l Conf. Machine Learning
, pp. 425-432
-
-
Maron, O.1
Ratan, A.L.2
|