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Volumn 5, Issue , 2006, Pages 2414-2417

Solving large margin estimation of HMMS via semidefinite programming

Author keywords

CDHMM; Discriminative training; Large margin estimation; Semidefinite programming; Speech recognition

Indexed keywords

DEEP NEURAL NETWORKS; HIDDEN MARKOV MODELS; MARKOV PROCESSES; OPTIMIZATION;

EID: 34547552138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (7)
  • 1
    • 33646799820 scopus 로고    scopus 로고
    • Large Margin HMMs for Speech Recognition
    • Pennsylvania, Mar
    • X. Li, H. Jiang and C. Liu, "Large Margin HMMs for Speech Recognition," Proc. of IEEE ICASSP'2005, Pennsylvania, Mar. 2005.
    • (2005) Proc. of IEEE ICASSP
    • Li, X.1    Jiang, H.2    Liu, C.3
  • 2
    • 33646781227 scopus 로고    scopus 로고
    • Discriminative Training of CDHMMS for Maximum Relative Separation Margin
    • Pennsylvania, Mar
    • C. Liu, H. Jiang and X. Li, "Discriminative Training of CDHMMS for Maximum Relative Separation Margin," Proc. of IEEE ICASSP'2005, Pennsylvania, Mar. 2005.
    • (2005) Proc. of IEEE ICASSP
    • Liu, C.1    Jiang, H.2    Li, X.3
  • 5
    • 0039772219 scopus 로고    scopus 로고
    • Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization
    • S. J. Benson, Y. Ye and X. Zhang, "Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization," SIAM Journal on Optimization, 10(2), 2000, pp. 443-461.
    • (2000) SIAM Journal on Optimization , vol.10 , Issue.2 , pp. 443-461
    • Benson, S.J.1    Ye, Y.2    Zhang, X.3
  • 7
    • 85022114810 scopus 로고    scopus 로고
    • Large Margin Hidden Markov Models for Speech Recognition,
    • M.S. thesis, Department of Computer Science and Engineering, York University, Canada
    • X. Li, "Large Margin Hidden Markov Models for Speech Recognition," M.S. thesis, Department of Computer Science and Engineering, York University, Canada, 2005.
    • (2005)
    • Li, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.