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Volumn 3686, Issue PART I, 2005, Pages 461-468

An efficient feature selection method for object detection

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; COMPUTATIONAL METHODS; DATA ACQUISITION; DISTRIBUTED COMPUTER SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 27244456704     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11551188_50     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 3
    • 12344273544 scopus 로고    scopus 로고
    • Object detection using feature subset selection
    • Sun, Z., Bebis, G., Miller, R.: Object detection using feature subset selection. Pattern Recognition 37 (2004) 2165-2176
    • (2004) Pattern Recognition , vol.37 , pp. 2165-2176
    • Sun, Z.1    Bebis, G.2    Miller, R.3
  • 13
    • 27244452120 scopus 로고    scopus 로고
    • Fusion of local and global features for efficient object detection
    • Applications of Neural Networks and Machine Learning in Image Processing IX
    • Le, D.D., Satoh, S.: Fusion of local and global features for efficient object detection. In: Applications of Neural Networks and Machine Learning in Image Processing IX, IS&T/SPIE Symposium on Electronic Imaging. (2005)
    • (2005) IS&T/SPIE Symposium on Electronic Imaging
    • Le, D.D.1    Satoh, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.