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Volumn 7335, Issue , 2009, Pages

Comparison of kernel based PDF estimation methods

Author keywords

Anomaly detection; Compression; Kernel methods; Parzen; PDF estimation; RVM; SVDD; SVM

Indexed keywords

AUTOMATIC TARGET RECOGNITION; DISTRIBUTION FUNCTIONS; IMAGE SEGMENTATION; MODAL ANALYSIS; PROBABILITY DENSITY FUNCTION; SUPPORT VECTOR MACHINES;

EID: 69649095329     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.819115     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 2
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M., "Sparse Bayesian learning and the relevance vector machine," J. M. Learn. Res., 1:211-244 (2001).
    • (2001) J. M. Learn. Res. , Issue.1 , pp. 211-244
    • Tipping, M.1
  • 6
    • 0001986205 scopus 로고    scopus 로고
    • Data domain description using support vectors
    • M. Verleysen, editor, Brussels, Belgium April
    • Tax, D.M.J. and Duin, R.P.W., "Data domain description using support vectors," Proc. European Symposium on Artificial Neural Networks, M. Verleysen, editor, 251-256, Brussels, Belgium (April 1999).
    • (1999) Proc. European Symposium on Artificial Neural Networks , pp. 251-256
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 10
    • 84896413160 scopus 로고    scopus 로고
    • Relevance-vector-machine quantization and density function estimation: Application to HMM-based multi-aspect classification
    • Dasgupta, N. D., Carin, L. and Couchman, L., "Relevance-vector- machine quantization and density function estimation: Application to HMM-based multi-aspect classification," Duke U. internal report.
    • Duke U. Internal Report
    • Dasgupta, N.D.1    Carin, L.2    Couchman, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.