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Volumn , Issue , 2008, Pages 337-340

A scalable FPGA architecture for non-linear SVM training

Author keywords

[No Author keywords available]

Indexed keywords

FIELD PROGRAMMABLE GATE ARRAYS (FPGA);

EID: 63049099725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FPT.2008.4762412     Document Type: Conference Paper
Times cited : (34)

References (7)
  • 1
    • 0002274728 scopus 로고
    • An iterative procedure for computing the minimum of a quadratic form on a convex set
    • E. G. Gilbert. An iterative procedure for computing the minimum of a quadratic form on a convex set. SIAM Journal on Control, 4(1):61-80, 1966.
    • (1966) SIAM Journal on Control , vol.4 , Issue.1 , pp. 61-80
    • Gilbert, E.G.1
  • 2
    • 54949146139 scopus 로고    scopus 로고
    • Floating point datapath synthesis for fpgas
    • M. Langhammer. Floating point datapath synthesis for fpgas. In FPL'08, 2008.
    • (2008) FPL'08
    • Langhammer, M.1
  • 4
    • 54949131399 scopus 로고    scopus 로고
    • Efficient fpga mapping of gilbert's algorithm for svm training on large-scale classification problems
    • M. Papadonikolakis and C.-S. Bouganis. Efficient fpga mapping of gilbert's algorithm for svm training on large-scale classification problems. In FPL'08, 2008.
    • (2008) FPL'08
    • Papadonikolakis, M.1    Bouganis, C.-S.2
  • 5
    • 0004322632 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • Technical report
    • J. Platt. Sequential minimal optimization: A fast algorithm for training support vector machines. Technical report, 1998.
    • (1998)
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.