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Volumn , Issue , 2008, Pages 1700-1703

Complex discriminant features for object classification

Author keywords

Complex feature; Feature selection; Visual recognition

Indexed keywords

CLASSIFICATION TASKS; COMPLEX FEATURE; DISCRIMINANT POWER; FEATURE SELECTION; FEATURE SETS; LOWER COMPLEXITY; OBJECT CLASSIFICATION; VISUAL RECOGNITION;

EID: 69949143096     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712101     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Vasconcelos, N.1
  • 2
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    • Multiclass object recognition with sparse, localized features
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  • 3
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    • Hierarchical part-based visual object categorization
    • G. Bouchard and B. Triggs, "Hierarchical part-based visual object categorization," in Proc. IEEE Conf. CVPR, 2006.
    • (2006) Proc. IEEE Conf. CVPR
    • Bouchard, G.1    Triggs, B.2
  • 5
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus and P. Perona and A. Zisserman, "Object class recognition by unsupervised scale-invariant learning," in Proc. IEEE Conf CVPR, 2003.
    • (2003) Proc. IEEE Conf CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 6
    • 12844249589 scopus 로고    scopus 로고
    • S. Agarwal and A. Awan and Dan Roth, Learning to detect objects in images via a sparse, part-based representation, IEEE Trans. Pattern Analysis and Machine Intelligence, 26, no. 11, pp. 1475-1490, 2004.
    • S. Agarwal and A. Awan and Dan Roth, "Learning to detect objects in images via a sparse, part-based representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 11, pp. 1475-1490, 2004.
  • 8
    • 0024053929 scopus 로고
    • Complete discrete 2-d gabor transform by neural networks for image analysis and compression
    • J.G. Daugman, "Complete discrete 2-d gabor transform by neural networks for image analysis and compression," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, no. 7, pp. 1169-1179, 1988.
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    • Daugman, J.G.1
  • 9
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • S. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, 1989.
    • (1989) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.1
  • 10
    • 24644509218 scopus 로고    scopus 로고
    • Discriminant saliency for visual recognition from cluttered scenes
    • D. Gao and N. Vasconcelos, "Discriminant saliency for visual recognition from cluttered scenes," in Proc. NIPS, pp., 481-488.
    • Proc. NIPS , pp. 481-488
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  • 12
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    • Feature selection by maximum marginal diversity
    • Vancouver, Canada
    • N. Vasconcelos, "Feature selection by maximum marginal diversity," in Proc. NIPS, Vancouver, Canada, 2002.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.