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Volumn 30, Issue , 2003, Pages 597-600

Computer-aided morphological analysis of holter ECG recordings based on support vector learning system

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; C (PROGRAMMING LANGUAGE); CARDIOLOGY; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; COMPUTER SOFTWARE; LEARNING SYSTEMS; OPTICAL RECORDING; PATHOLOGY; PATTERN RECOGNITION;

EID: 4143127948     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cic.2003.1291226     Document Type: Conference Paper
Times cited : (19)

References (9)
  • 4
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf B, Burges CJC, Smola AJ. Cambridge: MIT Press
    • Platt J. Fast Training of Support Vector Machines Using Sequential Minimal Optimization. In: Schölkopf B, Burges CJC, Smola AJ. Advances in Kernel Methods. Cambridge: MIT Press, 1998.
    • (1998) Advances in Kernel Methods
    • Platt, J.1
  • 5
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with application to pattern recognition
    • Cover TM. Geometrical and Statistical Properties of Systems of Linear Inequalities with Application to Pattern Recognition. IEEE Trans. Electronic Computers 1965;6:326-334.
    • (1965) IEEE Trans. Electronic Computers , vol.6 , pp. 326-334
    • Cover, T.M.1
  • 7
    • 4143139155 scopus 로고    scopus 로고
    • Support vector machine for the recognition of atrial and ventricular depolarization in Holter ECG recordings
    • Jankowski S, Tijink J, Vumbaca G, Balsi M, Karpinski G. Support vector machine for the recognition of atrial and ventricular depolarization in Holter ECG recordings. IJBEM 2002;4:343-344.
    • (2002) IJBEM , vol.4 , pp. 343-344
    • Jankowski, S.1    Tijink, J.2    Vumbaca, G.3    Balsi, M.4    Karpinski, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.