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Volumn 4729 LNCS, Issue , 2007, Pages 214-223

Incremental subspace learning for cognitive visual processes

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; CYBERNETICS; EDUCATION; LEARNING SYSTEMS;

EID: 49949087059     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75555-5_20     Document Type: Conference Paper
Times cited : (1)

References (15)
  • 1
    • 0043111365 scopus 로고    scopus 로고
    • Incremental PCA for on-line visual learning and recognition
    • Québec, Canada
    • Artač, M., Jogan, M., Leonardis, A.: Incremental PCA for on-line visual learning and recognition. In: Proc. of 16th Intl. Conf. Pattern Recognition, Québec, Canada, vol. 3, pp. 781-784 (2002)
    • (2002) Proc. of 16th Intl. Conf. Pattern Recognition , vol.3 , pp. 781-784
    • Artač, M.1    Jogan, M.2    Leonardis, A.3
  • 5
  • 7
    • 0035319038 scopus 로고    scopus 로고
    • Beyond Localisation: A Dynamical Dual Route Account of Face Recognition
    • de Gelder, B., Rouw, R.: Beyond Localisation: A Dynamical Dual Route Account of Face Recognition. Acta Psychologica 107, 183-207 (2001)
    • (2001) Acta Psychologica , vol.107 , pp. 183-207
    • de Gelder, B.1    Rouw, R.2
  • 11
    • 28344445092 scopus 로고    scopus 로고
    • An Ensemble-based Method for Linear Feature Extraction for two-class problems
    • Masip, D., Kuncheva, L.I., Vitrià, J.: An Ensemble-based Method for Linear Feature Extraction for two-class problems. Patterns Analysis and Applications 8, 227-237 (2005)
    • (2005) Patterns Analysis and Applications , vol.8 , pp. 227-237
    • Masip, D.1    Kuncheva, L.I.2    Vitrià, J.3
  • 12
    • 24944505636 scopus 로고    scopus 로고
    • Pang, S., Ozawa, S., Kasabov, N.: Chunk Incremental LDA Computing on Data Streams. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, 3497, pp. 51-56. Springer, Heidelberg (2005)
    • Pang, S., Ozawa, S., Kasabov, N.: Chunk Incremental LDA Computing on Data Streams. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol. 3497, pp. 51-56. Springer, Heidelberg (2005)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.