메뉴 건너뛰기




Volumn 16, Issue 3, 2002, Pages 331-334

KMOD - A two-parameter SVM kernel for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATABASE SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; BENCHMARKING; CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); SUPPORT VECTOR MACHINES;

EID: 15944378365     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (8)
  • 1
    • 84951865382 scopus 로고    scopus 로고
    • Kmod- A new support vector machine kernel for pattern recognition. Application to digit image recognition
    • Seattle,USA, Sept.
    • N.E. Ayat, M. Cheriet, and C.Y. Suen. Kmod- a new support vector machine kernel for pattern recognition. Application to digit image recognition. In ICDAR, pages 1215-1219, Seattle,USA, Sept. 2001.
    • (2001) ICDAR , pp. 1215-1219
    • Ayat, N.E.1    Cheriet, M.2    Suen, C.Y.3
  • 2
    • 84893518733 scopus 로고    scopus 로고
    • Empirical error based optimization of SVM kernels. Application to digit image recognition
    • Niagara-on-the-lake
    • th IWFHR, Niagara-on-the-lake, 2002.
    • (2002) th IWFHR
    • Ayat, N.E.1    Cheriet, M.2    Suen, C.Y.3
  • 4
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise classification and support vector machines
    • B. Schlkopf, C. Burges, and A. Smola, editors, chapter 15
    • U. Kreßel. Pairwise classification and support vector machines. In B. Schlkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, chapter 15, pages 255-268, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 255-268
    • Kreßel, U.1
  • 6
    • 0004094721 scopus 로고    scopus 로고
    • PhD thesis, GMD First, Berlin, Germany
    • A. Smola. Learning with Kernels. PhD thesis, GMD First, Berlin, Germany, 1998.
    • (1998) Learning with Kernels
    • Smola, A.1
  • 8
    • 0008201734 scopus 로고    scopus 로고
    • Entropy numbers, operators and support vector kernels
    • B. Schikopf, C. Burges, and A. Smola, editors, chapter 9
    • R. C. Williamson, A. J. Smola, and B. Scholkopf. Entropy numbers, operators and support vector kernels. In B. Schikopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, chapter 9, pages 127-144, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 127-144
    • Williamson, R.C.1    Smola, A.J.2    Scholkopf, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.