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Volumn 1, Issue , 2009, Pages 299-306

Efficient classification for large-scale problems by multiple lda subspaces

Author keywords

Image classification; Large databases; Lda

Indexed keywords

CLASSIFICATION PERFORMANCE; CLASSIFICATION POWER; COMPUTATIONAL COSTS; DATA SETS; LARGE DATABASES; LARGE-SCALE PROBLEM; LDA; LINEAR DISCRIMINATIVE ANALYSIS; MIXTURE MODEL; MULTIPLE CLASS; SUB-SETS;

EID: 70349653824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (17)
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    • Hunt, M. (1979). A statistical approach to metrics for word and syllable recognition. In Meeting of the Acoustical Society of American, volume 66, pages 535-536.
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    • Hunt, M.1
  • 8
    • 0037405964 scopus 로고    scopus 로고
    • Extensions of LDA by PCA Mixture Model and Class-Wise Features
    • Kim, H., Kim, D., and Bang, S. Y. (2003). Extensions of LDA by PCA Mixture Model and Class-Wise Features. Pattern Recognition, 36(5): 1095-1105.
    • (2003) Pattern Recognition , vol.36 , Issue.5 , pp. 1095-1105
    • Kim, H.1    Kim, D.2    Bang, S.Y.3
  • 9
    • 34247568488 scopus 로고    scopus 로고
    • Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
    • Kim, T.-K., Kittler, J., and Cipolla, R. (2007). Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations. IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(6): 1005-1018.
    • (2007) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.29 , Issue.6 , pp. 1005-1018
    • Kim, T.-K.1    Kittler, J.2    Cipolla, R.3
  • 12
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    • Columbia Object Image Library (COIL-100)
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    • (1996)
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3
  • 13
    • 0001565436 scopus 로고
    • The Utilization of Multiple Measurements in Problems of Biological Classification
    • Rao, C. R. (1948). The Utilization of Multiple Measurements in Problems of Biological Classification. Royal Statistical Society - Series B, 10(2): 159-203.
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    • Rao, C.R.1
  • 16
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    • Mixtures of Probabilistic Principal Component Analyzers
    • Tipping, M. E. and Bishop, C. M. (1999). Mixtures of Probabilistic Principal Component Analyzers. Neural Computation, 11(2):443-482.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.