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Volumn 5, Issue 6, 2001, Pages 477-490

Improvement of the Parzen classifier in small training sample size situations

Author keywords

bootstrap sample; high dimensional feature space; parzen classifier; small training sample size; Toeplitz estimator

Indexed keywords

GENERALIZATION ABILITY; HIGH DIMENSIONAL SPACES; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL FEATURE SPACE; SMALL SAMPLES; SMALL TRAINING; TOEPLITZ;

EID: 77954438466     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2001-5604     Document Type: Article
Times cited : (12)

References (11)
  • 2
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • S.J. Raudys and A.K. Jain, Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners, IEEE Trans. PAMI 13(3) (1991), 252-264.
    • (1991) IEEE Trans. PAMI , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 5
    • 0030853030 scopus 로고    scopus 로고
    • A bootstrap technique for nearest neighbor classifier design
    • Y. Hamamoto, S. Uchimura and S. Tomita, A Bootstrap Technique for Nearest Neighbor Classifier Design, IEEE Trans. PAMI 19(1) (1997), 73-79.
    • (1997) IEEE Trans. PAMI , vol.19 , Issue.1 , pp. 73-79
    • Hamamoto, Y.1    Uchimura, S.2    Tomita, S.3
  • 6
    • 0030270491 scopus 로고    scopus 로고
    • On the estimation of a covariance matrix in designing parzen classifiers
    • Y. Hamamoto, Y. Fujimoto and S. Tomita, On the Estimation of a Covariance Matrix in Designing Parzen Classifiers, Pattern Recognition 29(10) (1996), 1751-1759.
    • (1996) Pattern Recognition , vol.29 , Issue.10 , pp. 1751-1759
    • Hamamoto, Y.1    Fujimoto, Y.2    Tomita, S.3
  • 7
    • 85012675241 scopus 로고
    • Classifier design with parzen windows
    • E.S. Gelsema and L.N. Kanal, eds, Elsevier Science Publishers B.V North-Holland
    • A.K. Jain and M.D. Ramaswami, Classifier Design with Parzen Windows, in: Pattern Recognition and Artificial Intelligence, E.S. Gelsema and L.N. Kanal, eds, Elsevier Science Publishers B.V., North-Holland, 1988, pp. 211-228.
    • (1988) Pattern Recognition and Artificial Intelligence , pp. 211-228
    • Jain, A.K.1    Ramaswami, M.D.2
  • 8
    • 0019226255 scopus 로고
    • On the dominance of non-parametric bayes rule discriminant algorithms in high dimensions
    • J. Van Ness, On the Dominance of Non-parametric Bayes Rule Discriminant Algorithms in High Dimensions, Pattern Recognition 12 (1980), 355-368.
    • (1980) Pattern Recognition , vol.12 , pp. 355-368
    • Van Ness, J.1
  • 10
    • 0038786067 scopus 로고
    • An analysis of hand-printed character data base III
    • T. Saito, H. Yamada and S. Mori, An Analysis of Hand-Printed Character Data Base III, Bul. Electrotech. Lab 42(5) (1978), 385-434.
    • (1978) Bul. Electrotech. Lab , vol.42 , Issue.5 , pp. 385-434
    • Saito, T.1    Yamada, H.2    Mori, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.