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Volumn 2006, Issue , 2006, Pages

Strangeness based feature selection for part based recognition

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COST; DECISION BOUNDARY; FEATURE SELECTION; NEAREST NEIGHBOR METHODS;

EID: 33845519511     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.199     Document Type: Conference Paper
Times cited : (11)

References (16)
  • 2
    • 0345414043 scopus 로고    scopus 로고
    • Selection of scale-invariant parts for object class recognition
    • G. Dorko and C. Schmid. Selection of scale-invariant parts for object class recognition. In ICCV, Nice, France, 2003.
    • (2003) ICCV, Nice, France
    • Dorko, G.1    Schmid, C.2
  • 3
    • 0344983284 scopus 로고    scopus 로고
    • A bayesian approach to unsupervised one-shot learning of object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. A bayesian approach to unsupervised one-shot learning of object categories. In ICCV, Nice, France, 2003.
    • (2003) ICCV, Nice, France
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 6
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature selection
    • R. Kohavi and G. John. Wrappers for feature selection. Artificial Intelligence, 97:273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 9
    • 33845517200 scopus 로고    scopus 로고
    • Object recognition with informative features and linear
    • M. V. Naquet and S. Ullman. Object recognition with informative features and linear. In ICCV, Nice, France, 2003.
    • (2003) ICCV, Nice, France
    • Naquet, M.V.1    Ullman, S.2
  • 12
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and exmpirical analysis of ReliefF and RReliefF
    • M. Robnik-Sikonja and I. Kononenko. Theoretical and exmpirical analysis of ReliefF and RReliefF. Machine Learning Journal, 53:23-69, 2003.
    • (2003) Machine Learning Journal , vol.53 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 15
    • 17644439883 scopus 로고    scopus 로고
    • Feature selection by maximum marginal diversity: Optimality and implications for visual recognition
    • N. Vasconcelos. Feature selection by maximum marginal diversity: Optimality and implications for visual recognition. In CVPR, Madison, Wisconsin, 2003.
    • (2003) CVPR, Madison, Wisconsin
    • Vasconcelos, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.