메뉴 건너뛰기




Volumn 2, Issue , 2011, Pages 47-52

Incremental learning based on growing Gaussian mixture models

Author keywords

evolving system; Gaussian mixture models; Incremental learning; online learning

Indexed keywords

DATA-DRIVEN; EMPIRICAL EVALUATIONS; EVOLVING SYSTEMS; GAUSSIAN MIXTURE MODEL; INCREMENTAL LEARNING; LABELED AND UNLABELED DATA; LOW COMPLEXITY; ON-LINE SETTING; ONLINE LEARNING; SELF-ADAPTATION MECHANISMS; SELF-MONITORING;

EID: 84857821993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2011.79     Document Type: Conference Paper
Times cited : (27)

References (16)
  • 4
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian Clustering
    • J. Banfield and A. Raftery, "Model-based Gaussian and non-Gaussian Clustering," Biometrics, vol. 49, pp. 803-821, 1993.
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.1    Raftery, A.2
  • 6
    • 27544498086 scopus 로고    scopus 로고
    • Highly efficient incremental estimation of Gaussian mixture models for online data stream clustering
    • SPIE
    • M. Song and H. Wang, "Highly efficient incremental estimation of Gaussian mixture models for online data stream clustering," in Intelligent Computing: Theory and Applications. SPIE, 2005, pp. 174-183.
    • (2005) Intelligent Computing: Theory and Applications , pp. 174-183
    • Song, M.1    Wang, H.2
  • 11
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • MIT Press, ch.
    • N. Radford and G. Hinton, Learning in graphical models. MIT Press, 1999, ch. A view of the EM algorithm that justifies incremental, sparse, and other variants, pp. 355-368.
    • (1999) Learning in Graphical Models , pp. 355-368
    • Radford, N.1    Hinton, G.2
  • 12
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using realtime tracking
    • C. Stauffer and W. Grimson, "Learning patterns of activity using realtime tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 747-757, 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.2
  • 13
    • 18144412408 scopus 로고    scopus 로고
    • Effective Gaussian mixture learning for video background subtraction
    • DOI 10.1109/TPAMI.2005.102
    • D. Lee, "Effective Gaussian mixture learning for video background subtraction," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 5, pp. 827-832, 2005. (Pubitemid 40608416)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.5 , pp. 827-832
    • Lee, D.-S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.