-
1
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
T.G. Dietterich, R.H. Lathrop, and T. Lozano-Perez Solving the multiple instance problem with axis-parallel rectangles Artif. Intell. 89 1 1997 31 71
-
(1997)
Artif. Intell.
, vol.89
, Issue.1
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Perez, T.3
-
3
-
-
78149323480
-
MIForests: Multiple-instance learning with randomized trees
-
C. Leistner, A. Saffari, H. Bischof, MIForests: multiple-instance learning with randomized trees, in: Proceedings of the 11th European Conference on Computer Vision, 2010, pp. 29-42.
-
(2010)
Proceedings of the 11th European Conference on Computer Vision
, pp. 29-42
-
-
Leistner, C.1
Saffari, A.2
Bischof, H.3
-
4
-
-
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 Anal. Mach. Intell. 28 12 2006 1931 1947
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, Issue.12
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.Z.3
-
5
-
-
84864028262
-
Multi-instance multi-label learning with application to scene classification
-
Z.H. Zhou, and M.L. Zhang Multi-instance multi-label learning with application to scene classification Adv. Neural Inf. Process. Syst. 2007 1609 1616
-
(2007)
Adv. Neural Inf. Process. Syst.
, pp. 1609-1616
-
-
Zhou, Z.H.1
Zhang, M.L.2
-
6
-
-
0344425673
-
Content-based image retrieval using multiple-instance learning
-
Q. Zhang, S.A. Goldman, W. Yu, J. Fritts, Content-based image retrieval using multiple-instance learning, in: Proceedings of the 19th International Conference on Machine Learning, 2002, pp. 682-689.
-
(2002)
Proceedings of the 19th International Conference on Machine Learning
, pp. 682-689
-
-
Zhang, Q.1
Goldman, S.A.2
Yu, W.3
Fritts, J.4
-
7
-
-
84863161940
-
Image categorization by learning and reasoning with regions
-
Y. Chen, and J.Z. Wang Image categorization by learning and reasoning with regions J. Mach. Learn. Res. 5 2004 913 939
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 913-939
-
-
Chen, Y.1
Wang, J.Z.2
-
8
-
-
72949121319
-
MILD: Multiple-instance learning via disambiguation
-
W.J. Li, and D.Y. Yeung MILD: multiple-instance learning via disambiguation IEEE Trans. Knowl. Data Eng. 22 1 2010 76 89
-
(2010)
IEEE Trans. Knowl. Data Eng.
, vol.22
, Issue.1
, pp. 76-89
-
-
Li, W.J.1
Yeung, D.Y.2
-
9
-
-
51649099436
-
Multiple-instance content-based image retrieval employing isometric embedded similarity measure
-
J.Y. Chiang, and S.R. Cheng Multiple-instance content-based image retrieval employing isometric embedded similarity measure Pattern Recognit. 42 1 2009 158 166
-
(2009)
Pattern Recognit.
, vol.42
, Issue.1
, pp. 158-166
-
-
Chiang, J.Y.1
Cheng, S.R.2
-
13
-
-
14344261849
-
SVM-based generalized multiple-instance learning via approximate box counting
-
Q. Tao, S. Scott, N.V. Vinodchandran, T.T. Osugi, SVM-based generalized multiple-instance learning via approximate box counting, in: Proceedings of the 21st International Conference on Machine Learning, 2004, pp. 799-806.
-
(2004)
Proceedings of the 21st International Conference on Machine Learning
, pp. 799-806
-
-
Tao, Q.1
Scott, S.2
Vinodchandran, N.V.3
Osugi, T.T.4
-
17
-
-
33745609124
-
-
AI Lab, Department of Computer Science and Technology, Nanjing University, Technical Report
-
Z.H. Zhou, Multi-instance Learning: A Survey, AI Lab, Department of Computer Science and Technology, Nanjing University, Technical Report, 2004.
-
(2004)
Multi-instance Learning: A Survey
-
-
Zhou, Z.H.1
-
18
-
-
84898999828
-
EM-DD: An improved multiple-instance learning technique
-
Q. Zhang, and S.A. Goldman EM-DD: an improved multiple-instance learning technique Adv. Neural Inf. Process. Syst. 2002 1073 1080
-
(2002)
Adv. Neural Inf. Process. Syst.
, pp. 1073-1080
-
-
Zhang, Q.1
Goldman, S.A.2
-
20
-
-
4444252785
-
Multi-instance kernels
-
T. Gartner, P.A. Flach, A. Kowalczyk, A.J. Smola, Multi-instance kernels, in: Proceedings of the 19th International Conference on Machine Learning, 2002, pp. 179-186.
-
(2002)
Proceedings of the 19th International Conference on Machine Learning
, pp. 179-186
-
-
Gartner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
21
-
-
71149085943
-
Multi-instance learning by treating instances as non-I.I.D. Samples
-
Z.H. Zhou, Y.Y. Sun, Y.F. Li, Multi-instance learning by treating instances as non-i.i.d. samples, in: Proceedings of the 26th International Conference on Machine Learning, 2009, pp. 1249-1256.
-
(2009)
Proceedings of the 26th International Conference on Machine Learning
, pp. 1249-1256
-
-
Zhou, Z.H.1
Sun, Y.Y.2
Li, Y.F.3
-
22
-
-
82455210904
-
ReliefF-MI: An extension of ReliefF to multiple-instance learning
-
A. Zafra, M. Pechenizkiy, and S. Ventura ReliefF-MI: an extension of ReliefF to multiple-instance learning Neurocomputing 75 1 2012 210 218
-
(2012)
Neurocomputing
, vol.75
, Issue.1
, pp. 210-218
-
-
Zafra, A.1
Pechenizkiy, M.2
Ventura, S.3
-
24
-
-
84870251236
-
Multiple-instance learning as a classifier combining problem
-
Y. Li, D.M.J. Tax, R.P.W. Duin, and M. Loog Multiple-instance learning as a classifier combining problem Pattern Recognit. 46 3 2013 865 874
-
(2013)
Pattern Recognit.
, vol.46
, Issue.3
, pp. 865-874
-
-
Li, Y.1
Tax, D.M.J.2
Duin, R.P.W.3
Loog, M.4
-
25
-
-
84878013212
-
4L: Maximum margin multi-instance multi-cluster learning for scene modeling
-
4L: maximum margin multi-instance multi-cluster learning for scene modeling Pattern Recognit. 46 10 2013 2711 2723
-
(2013)
Pattern Recognit.
, vol.46
, Issue.10
, pp. 2711-2723
-
-
Zhang, T.Z.1
Liu, S.2
Xu, C.S.3
Lu, H.Q.4
-
26
-
-
77958555954
-
Multi-instance dimensionality reduction
-
Y.Y. Sun, M.K. Ng, Z.H. Zhou, Multi-instance dimensionality reduction, in: Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010, pp. 587-592.
-
(2010)
Proceedings of the 24th AAAI Conference on Artificial Intelligence
, pp. 587-592
-
-
Sun, Y.Y.1
Ng, M.K.2
Zhou, Z.H.3
-
27
-
-
77958553299
-
Non-I.I.D. Multi-instance dimensionality reduction by learning a maximum bag margin subspace
-
W. Ping, Y. Xu, K.X. Ren, C.H. Chi, F.R. Shen, Non-i.i.d. multi-instance dimensionality reduction by learning a maximum bag margin subspace, in: Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010, pp. 551-556.
-
(2010)
Proceedings of the 24th AAAI Conference on Artificial Intelligence
, pp. 551-556
-
-
Ping, W.1
Xu, Y.2
Ren, K.X.3
Chi, C.H.4
Shen, F.R.5
-
31
-
-
0346034995
-
A generalized Foley-Sammon transform based on generalized fisher discriminant criterion and its application to face recognition
-
Y. Guo, S. Li, J. Yang, T. Shu, and L. Wu A generalized Foley-Sammon transform based on generalized fisher discriminant criterion and its application to face recognition Pattern Recogn. Lett. 24 1-3 2003 147 158
-
(2003)
Pattern Recogn. Lett.
, vol.24
, Issue.13
, pp. 147-158
-
-
Guo, Y.1
Li, S.2
Yang, J.3
Shu, T.4
Wu, L.5
-
32
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
-
M. Sugiyama Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis J. Mach. Learn. Res. 8 2007 1027 1061
-
(2007)
J. Mach. Learn. Res.
, vol.8
, pp. 1027-1061
-
-
Sugiyama, M.1
-
33
-
-
67649419071
-
Feature extraction based on Laplacian bidirectional maximum margin criterion
-
W.K. Yang, J.G. Wang, M.W. Ren, and J.Y. Yang Feature extraction based on Laplacian bidirectional maximum margin criterion Pattern Recognit. 42 11 2009 2327 2334
-
(2009)
Pattern Recognit.
, vol.42
, Issue.11
, pp. 2327-2334
-
-
Yang, W.K.1
Wang, J.G.2
Ren, M.W.3
Yang, J.Y.4
-
34
-
-
79953045567
-
A multi-manifold discriminant analysis method for image feature extraction
-
W.K. Yang, C.Y. Sun, and L. Zhang A multi-manifold discriminant analysis method for image feature extraction Pattern Recognit. 44 8 2011 1649 1657
-
(2011)
Pattern Recognit.
, vol.44
, Issue.8
, pp. 1649-1657
-
-
Yang, W.K.1
Sun, C.Y.2
Zhang, L.3
-
35
-
-
77953610380
-
Generalized re-weighting local sampling mean discriminant analysis
-
J. Chai, H.W. Liu, and Z. Bao Generalized re-weighting local sampling mean discriminant analysis Pattern Recognit. 43 10 2010 3422 3432
-
(2010)
Pattern Recognit.
, vol.43
, Issue.10
, pp. 3422-3432
-
-
Chai, J.1
Liu, H.W.2
Bao, Z.3
-
39
-
-
21144472623
-
Variable kernel density estimation
-
G.R. Terrell, and D.W. Scott Variable kernel density estimation Ann Stat 20 3 1992 1236 1265
-
(1992)
Ann Stat
, vol.20
, Issue.3
, pp. 1236-1265
-
-
Terrell, G.R.1
Scott, D.W.2
-
40
-
-
79958782071
-
Multivariate online kernel density estimation with Gaussian kernels
-
M. Kristan, A. Leonardis, and D. Skočaj Multivariate online kernel density estimation with Gaussian kernels Pattern Recognit. 44 10 2011 2630 2642
-
(2011)
Pattern Recognit.
, vol.44
, Issue.10
, pp. 2630-2642
-
-
Kristan, M.1
Leonardis, A.2
Skočaj, D.3
-
42
-
-
0142081413
-
Multiple-instance learning of real-valued data
-
R.A. Amar, D.R. Dooly, S.A. Goldman, Q. Zhang, Multiple-instance learning of real-valued data, in: Proceedings of the 18th International Conference on Machine Learning, 2001, pp. 3-10.
-
(2001)
Proceedings of the 18th International Conference on Machine Learning
, pp. 3-10
-
-
Amar, R.A.1
Dooly, D.R.2
Goldman, S.A.3
Zhang, Q.4
-
43
-
-
15544389390
-
Multi-instance learning based web mining
-
Z.H. Zhou, K. Jiang, and M. Li Multi-instance learning based web mining Appl. Intell. 22 2 2005 135 147
-
(2005)
Appl. Intell.
, vol.22
, Issue.2
, pp. 135-147
-
-
Zhou, Z.H.1
Jiang, K.2
Li, M.3
-
45
-
-
24644524200
-
Visual categorization with bags of keypoints
-
G. Csurka, C. Bray, C. Dance, L. Fan, Visual categorization with bags of keypoints, in: ECCV Workshop on Statistical Learning in Computer Vision, 2004, pp. 59-74.
-
(2004)
ECCV Workshop on Statistical Learning in Computer Vision
, pp. 59-74
-
-
Csurka, G.1
Bray, C.2
Dance, C.3
Fan, L.4
|