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Volumn , Issue , 2010, Pages 535-542

Gaussian processes multiple instance learning

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DETERMINISTIC ANNEALING; GAUSSIAN PROCESS; GAUSSIAN PROCESSES; INDICATOR VARIABLES; LATENT VARIABLE; LEARNING KERNELS; MULTIPLE-INSTANCE LEARNING; PREDICTION PROBLEM; PROBABILISTIC INTERPRETATION;

EID: 77956555614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (14)
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  • 2
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    • 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 scopus 로고    scopus 로고
    • 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
  • 5
    • 58049100940 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • Multiple instance boosting for object detection
    • Viola, Paul A., Piatt, John C., and Zhang, Cha. Multiple instance boosting for object detection, 2005. NIPS.
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    • Viola, P.A.1    Piatt, J.C.2    Zhang, C.3
  • 13
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    • 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.
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    • Wang, J.1    Zucker, J.-D.2
  • 14
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    • 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.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.