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Volumn , Issue , 2008, Pages

Object categorization based on kernel principal component analysis of visual words

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COMPUTER VISION; FINANCIAL DATA PROCESSING; IMAGE PROCESSING; SUPPORT VECTOR MACHINES;

EID: 50949085049     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2008.4543993     Document Type: Conference Paper
Times cited : (19)

References (32)
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    • Learning generative visual models from few training examples: An incremental baysian approach tested on 101 object categories
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    • (2004) Proc. CVPR Workshop of Generative Model Based Vision
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    • A framework for 3d object recognition using the kernel constrained mutual subspace method
    • K. Fukui, B. Stenger, and O. Yamaguchi. A framework for 3d object recognition using the kernel constrained mutual subspace method. In Proc. Asian Conference on Computer Vision, volume I, pages 315-324, 2006.
    • (2006) Proc. Asian Conference on Computer Vision , vol.1 , pp. 315-324
    • Fukui, K.1    Stenger, B.2    Yamaguchi, O.3
  • 13
    • 33749242435 scopus 로고    scopus 로고
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    • Hotta, K.1
  • 14
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • C.-W. Hsu and C.-J. Lin. A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks, 13(2):415-425, 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 18
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    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
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    • S. Obdržálek and J. Matas. Object recognition using local affine frames on distigushed regions. In Proc. British Machine Vision Conference, 1, pages 113-122, 2002.
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    • Sparse kernel feature analysis
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    • A discriminant method of similar characters with nonlinear compound discriminant function
    • in Japanese
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.