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Volumn , Issue , 2010, Pages 2054-2057

A training algorithm for sparse LS-SVM using compressive sampling

Author keywords

Compressive sampling; Least Squares Support Vector Machine (LS SVM); Model selection; Orthogonal Matching Pursuit (OMP); Sparse approximation

Indexed keywords

APPROXIMATION ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; VECTORS;

EID: 78049364222     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495015     Document Type: Conference Paper
Times cited : (32)

References (12)
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  • 5
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  • 6
    • 0037507242 scopus 로고    scopus 로고
    • Pruning error minimization in least squares support vector machines
    • B. J. de Kruif and T. J. deVries, "Pruning error minimization in least squares support vector machines," IEEE Trans. Neural Nets., vol. 14, pp 696-702, 2003.
    • (2003) IEEE Trans. Neural Nets. , vol.14
    • De Kruif, B.J.1    DeVries, T.J.2
  • 7
    • 34047118751 scopus 로고    scopus 로고
    • Comments on "Pruning Error Minimization in Least Squares Support Vector Machines,"
    • A. Kuh and P. De Wilde, "Comments on "Pruning Error Minimization in Least Squares Support Vector Machines," IEEE Trans. Neural Networks, vol. 18, no. 2, pp 606-609, 2007.
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  • 10
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    • Signal Recovery from Random Measurements Via Orthogonal Matching Pursuit
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  • 11
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    • Cotter, S.F.1
  • 12
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    • On the Exponential Convergence of Matching Pursuits in Quasi-Incoherent Dictionaries
    • R. Gribonval and P. Vandergheynst, "On the Exponential Convergence of Matching Pursuits in Quasi-Incoherent Dictionaries," IEEE Trans. Information Theory, vol. 52, pp 255-261, 2006.
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    • Gribonval, R.1    Vandergheynst, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.