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Volumn , Issue , 2011, Pages 874-883

Multi-instance metric learning

Author keywords

Metric learning; Multi instance learning; Weighting scheme

Indexed keywords

ACTIVITY RECOGNITION; APPROPRIATE DISTANCES; CLASSIFICATION ACCURACY; COMPUTING COST; DATA MINING TASKS; DATA SETS; DISTANCE BASED ALGORITHM; DISTANCE METRICS; GAUSSIANS; KERNEL METHODS; KL-DIVERGENCE; MAHALANOBIS DISTANCES; METRIC LEARNING; MULTI-INSTANCE LEARNING; NON-PARAMETRIC; WEIGHTING SCHEME;

EID: 84863128677     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.106     Document Type: Conference Paper
Times cited : (22)

References (44)
  • 1
    • 84898946229 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In NIPS'03, pages 561-568, 2003.
    • (2003) NIPS'03 , pp. 561-568
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 2
    • 70450188146 scopus 로고    scopus 로고
    • Visual tracking with online Multiple Instance Learning
    • B. Babenko, M.-H. Yang, and S. Belongie. Visual tracking with online Multiple Instance Learning. In CVPR'09, pages 983-990, 2009.
    • (2009) CVPR'09 , pp. 983-990
    • Babenko, B.1    Yang, M.-H.2    Belongie, S.3
  • 3
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • M. Bilenko, S. Basu and R. J. Mooney. Integrating constraints and metric learning in semi-supervised clustering. In ICML'04, pages 81-88, 2004.
    • (2004) ICML'04 , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.J.3
  • 6
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Y. Chen and J. Z. Wang. Image categorization by learning and reasoning with regions. JMLR, 5:913-939, 2004.
    • (2004) JMLR , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.Z.2
  • 7
    • 33947180489 scopus 로고    scopus 로고
    • Miles: Multiple-instance learning via embedded instance selection
    • Y. Chen, J. Bi and J. Z. Wang. Miles: Multiple-instance learning via embedded instance selection. TPAMI, 28(12):1931-1947, 2006.
    • (2006) TPAMI , vol.28 , Issue.12 , pp. 1931-1947
    • Chen, Y.1    Bi, J.2    Wang, J.Z.3
  • 9
    • 77956554104 scopus 로고    scopus 로고
    • Differential entropic clustering of multivariate gaussians
    • J. V. Davis and I. Dhillon. Differential entropic clustering of multivariate gaussians. In NIPS'06, pages 337-344, 2006.
    • (2006) NIPS'06 , pp. 337-344
    • Davis, J.V.1    Dhillon, I.2
  • 11
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple-instance problem with axis-parallel retangles
    • T. G. Dietterich, R. H. Lathrop and T. Lozano-Perez. Solving the multiple-instance problem with axis-parallel retangles. Artificial Intelligence, 89(1):31-71, 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 12
    • 62549089105 scopus 로고    scopus 로고
    • Efficient duration and hierarchical modeling for human activity recognition
    • T. Duong, D. Phung, H. Bui and S. Venkatesh. Efficient duration and hierarchical modeling for human activity recognition. Artificial Intelligence, 173(7):830-856, 2009.
    • (2009) Artificial Intelligence , vol.173 , Issue.7 , pp. 830-856
    • Duong, T.1    Phung, D.2    Bui, H.3    Venkatesh, S.4
  • 13
    • 84864047275 scopus 로고    scopus 로고
    • Multiple instance learning for computer aided diagnosis
    • G. Fung, M. Dundar, B. Krishnappuram, and R. B. Rao. Multiple instance learning for computer aided diagnosis. In NIPS'07, pages 425-432, 2007.
    • (2007) NIPS'07 , pp. 425-432
    • Fung, G.1    Dundar, M.2    Krishnappuram, B.3    Rao, R.B.4
  • 15
    • 78149341381 scopus 로고    scopus 로고
    • Multiple Instance metric learning from automatically labeled bags of faces
    • M. Guillaumin, J. Verbeek, and C. Schmid. Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. In ECCV'10, pages 634-647, 2010.
    • (2010) ECCV'10 , pp. 634-647
    • Guillaumin, M.1    Verbeek, J.2    Schmid, C.3
  • 16
    • 8644228268 scopus 로고    scopus 로고
    • Locality preserving projections
    • X. He and P. Niyogi. Locality preserving projections. In NIPS'03, 2003.
    • (2003) NIPS'03
    • He, X.1    Niyogi, P.2
  • 17
    • 70450164149 scopus 로고    scopus 로고
    • Learning a distance metric from multi-instance multi-label data
    • R. Jin, S. Wang and Z.-H. Zhou. Learning a distance metric from multi-instance multi-label data. In CVPR'09, pages 896-902, 2009.
    • (2009) CVPR'09 , pp. 896-902
    • Jin, R.1    Wang, S.2    Zhou, Z.-H.3
  • 18
    • 34250754976 scopus 로고    scopus 로고
    • Learning low-rank kernel matrices
    • B. Kulis, M. Sustik and I. Dhillon. Learning low-rank kernel matrices. In ICML'06, pages 505-512, 2006.
    • (2006) ICML'06 , pp. 505-512
    • Kulis, B.1    Sustik, M.2    Dhillon, I.3
  • 19
    • 84880884345 scopus 로고    scopus 로고
    • Marginalized multi-instance kernels
    • J. T. Kwok and P.-M. Cheung. Marginalized multi-instance kernels. In IJCAI'07, pages 901-906, 2007.
    • (2007) IJCAI'07 , pp. 901-906
    • Kwok, J.T.1    Cheung, P.-M.2
  • 20
    • 80054061029 scopus 로고    scopus 로고
    • Enabling large-scale human activity inference on smartphones using Community Similarity Networks (CSN)
    • N. D. Lane, Y. Xu, H. Lu, S. Hu, T. Choudhury, A. T. Campbell, and F. Zhao. Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN). In Ubicomp'11, pages 355-364, 2011.
    • (2011) Ubicomp'11 , pp. 355-364
    • Lane, N.D.1    Xu, Y.2    Lu, H.3    Hu, S.4    Choudhury, T.5    Campbell, A.T.6    Zhao, F.7
  • 21
  • 22
    • 77954396558 scopus 로고    scopus 로고
    • Improving activity classification for health applications on mobile devices using active and semi-supervised learning
    • B. Longstaff, S. Reddy, and D. Estrin. Improving Activity Classification for Health Applications on Mobile Devices using Active and Semi-Supervised Learning. In Pervasive Health'10, pages 1-7, 2010.
    • (2010) Pervasive Health'10 , pp. 1-7
    • Longstaff, B.1    Reddy, S.2    Estrin, D.3
  • 23
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • O. Maron and A. Ratan. Multiple-instance learning for natural scene classification. In ICML'98, pages 341-349, 1998.
    • (1998) ICML'98 , pp. 341-349
    • Maron, O.1    Ratan, A.2
  • 24
    • 84898935332 scopus 로고    scopus 로고
    • A framework for multipleinstance learning
    • O. Maron, and T. Lozano-Perez. A framework for multipleinstance learning. In NIPS'98, pages 570-576, 1998.
    • (1998) NIPS'98 , pp. 570-576
    • Maron, O.1    Lozano-Perez, T.2
  • 25
    • 77958553299 scopus 로고    scopus 로고
    • Noni. I.D. multi-instance dimensionality reduction by learning a maximum bag margin subspace
    • W. Ping, Y. Xu, K. Ren, C.-H. Chi and F. Shen. Noni. i.d. multi-instance dimensionality reduction by learning a maximum bag margin subspace. In AAAI'10, pages 551-556, 2010.
    • (2010) AAAI'10 , pp. 551-556
    • Ping, W.1    Xu, Y.2    Ren, K.3    Chi, C.-H.4    Shen, F.5
  • 26
    • 84863169184 scopus 로고    scopus 로고
    • FAMER: Making multi-instance learning better and faster
    • W. Ping, Y. Xu, J. Wang and X.-S. Hua. FAMER: Making Multi-Instance Learning Better and Faster. In SDM'11, pages 594-605, 2011.
    • (2011) SDM'11 , pp. 594-605
    • Ping, W.1    Xu, Y.2    Wang, J.3    Hua, X.-S.4
  • 27
    • 84898997673 scopus 로고    scopus 로고
    • Learning a distance metric from relative comparisons
    • M. Schultz and T. Joachims. Learning a distance metric from relative comparisons. In NIPS'03, 2003.
    • (2003) NIPS'03
    • Schultz, M.1    Joachims, T.2
  • 28
    • 85162065706 scopus 로고    scopus 로고
    • Multiple-instance active learning
    • B. Settles, M. Craven and S. Ray. Multiple-instance active learning. In NIPS'08, pages 1289-1296, 2008.
    • (2008) NIPS'08 , pp. 1289-1296
    • Settles, B.1    Craven, M.2    Ray, S.3
  • 29
    • 68149103370 scopus 로고    scopus 로고
    • Activity recognition from sparsely labeled data using multi-instance learning
    • M. Stikic and B. Schiele. Activity recognition from sparsely labeled data using multi-instance learning. In LoCA'09, Workshop of Pervasive09, pages 156-173, 2009.
    • (2009) LoCA'09, Workshop of Pervasive09 , pp. 156-173
    • Stikic, M.1    Schiele, B.2
  • 30
    • 77958555954 scopus 로고    scopus 로고
    • Multi-instance dimensionality reduction
    • Y.-Y. Sun, M. Ng, and Z.-H. Zhou. Multi-instance dimensionality reduction. In AAAI'10, pages 587-592, 2010.
    • (2010) AAAI'10 , pp. 587-592
    • Sun, Y.-Y.1    Ng, M.2    Zhou, Z.-H.3
  • 32
    • 84864049528 scopus 로고    scopus 로고
    • Multiple instance boosting for object detection
    • P. Viola, J. C. Platt and C. Zhang. Multiple instance boosting for object detection. In NIPS'06, pages 1417-1424, 2006.
    • (2006) NIPS'06 , pp. 1417-1424
    • Viola, P.1    Platt, J.C.2    Zhang, C.3
  • 33
    • 56449086489 scopus 로고    scopus 로고
    • Adaptive p-posterior mixture-model kernels for multiple instance learning
    • H.-Y. Wang, Q. Yang, and H. Zha. Adaptive p-posterior mixture-model kernels for multiple instance learning. In ICML'08, pages 1136-1143, 2008.
    • (2008) ICML'08 , pp. 1136-1143
    • Wang, H.-Y.1    Yang, Q.2    Zha, H.3
  • 34
    • 0141596676 scopus 로고    scopus 로고
    • Solving the multiple-instance problem: A lazy learning approach
    • J. Wang and J.-D. Zucker. Solving the multiple-instance problem: a lazy learning approach. In ICML'00, pages 1119-1125, 2000.
    • (2000) ICML'00 , pp. 1119-1125
    • Wang, J.1    Zucker, J.-D.2
  • 35
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Q. Weinberger, J. Blitzer and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. JMLR, 10:207-244, 2009.
    • (2009) JMLR , vol.10 , pp. 207-244
    • Weinberger, K.Q.1    Blitzer, J.2    Saul, L.K.3
  • 36
    • 79951732169 scopus 로고    scopus 로고
    • Adaptive distances on sets of vectors
    • A. Woznica and A. Kalousis. Adaptive distances on sets of vectors. In ICDM'10, pages 579-588, 2010.
    • (2010) ICDM'10 , pp. 579-588
    • Woznica, A.1    Kalousis, A.2
  • 37
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • E. P. Xing, A. Y. Ng, M. I. Jordan and S. J. Russell. Distance metric learning with application to clustering with side-information. In NIPS'02, pages 505-512, 2002.
    • (2002) NIPS'02 , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.J.4
  • 38
    • 0033884407 scopus 로고    scopus 로고
    • Image database retrieval with multiple-instance learning techniques
    • C. Yang and T. Lozano-Perez. Image database retrieval with multiple-instance learning techniques. In ICDE'00, pages 233-243, 2000.
    • (2000) ICDE'00 , pp. 233-243
    • Yang, C.1    Lozano-Perez, T.2
  • 40
    • 0344425673 scopus 로고    scopus 로고
    • Content-based image retrieval using multiple-instance learning
    • Q. Zhang and S. A. Goldman, W. Yu, and J. E. Fritts. Content-Based Image Retrieval Using Multiple-Instance Learning. In ICML'02, pages 682-689, 2002.
    • (2002) ICML'02 , pp. 682-689
    • Zhang, Q.1    Goldman, S.A.2    Yu, W.3    Fritts, J.E.4
  • 41
    • 84898999828 scopus 로고    scopus 로고
    • EM-DD: An improved multipleinstance learning technique
    • Q. Zhang and S. A. Goldman. EM-DD: an improved multipleinstance learning technique. In NIPS'01, pages 1073-1080, 2001.
    • (2001) NIPS'01 , pp. 1073-1080
    • Zhang, Q.1    Goldman, S.A.2
  • 42
    • 84865656232 scopus 로고    scopus 로고
    • Mining interesting locations and travel sequences from GPS trajectories
    • Y. Zheng, L. Zhang, X. Xie, and W.-Y. Ma. Mining interesting locations and travel sequences from GPS trajectories. In WWW'09, pages 791-800, 2009.
    • (2009) WWW'09 , pp. 791-800
    • Zheng, Y.1    Zhang, L.2    Xie, X.3    Ma, W.-Y.4
  • 43
    • 71149085943 scopus 로고    scopus 로고
    • Multi-instance learning by treating instances as non-I.I.D. samples
    • Z.-H. Zhou, Y.-Y. Sun, and Y.-F. Li. Multi-instance learning by treating instances as non-i.i.d. samples. In ICML'09, pages 1249-1256, 2009.
    • (2009) ICML'09 , pp. 1249-1256
    • Zhou, Z.-H.1    Sun, Y.-Y.2    Li, Y.-F.3
  • 44
    • 34547984757 scopus 로고    scopus 로고
    • On the relation between multiinstance learning and semi-supervised learning
    • Z.-H. Zhou and J.-M. Xu. On the relation between multiinstance learning and semi-supervised learning. In ICML'07, pages 1167-1174, 2007.
    • (2007) ICML'07 , pp. 1167-1174
    • Zhou, Z.-H.1    Xu, J.-M.2


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