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Volumn , Issue , 2013, Pages 2794-2801

From local similarity to global coding: An application to image classification

Author keywords

Bag of Words; Global Coding; Image Classification; Manifold Learning

Indexed keywords

BAG OF WORDS; BAG-OF-WORDS MODELS; CLASSIFICATION DATASETS; GLOBAL CODING; LOCAL SIMILARITY MEASURE; MANIFOLD LEARNING; MANIFOLD STRUCTURES; NONLINEAR STRUCTURE;

EID: 84887354036     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.360     Document Type: Conference Paper
Times cited : (35)

References (26)
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    • (2006) Inthe Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 7
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
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    • (2007) Computer Vision and Image Understanding , vol.106 , Issue.1 , pp. 59-70
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 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
  • 19
    • 78149348137 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Sánchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. Computer Vision-ECCV 2010, pages 143-156, 2010.
    • (2010) Computer Vision-ECCV 2010 , pp. 143-156
    • Perronnin, F.1    Sánchez, J.2    Mensink, T.3
  • 26
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    • Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
    • ACM
    • X. Zhu and J. Lafferty. Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. In Proceedings of the 22nd international conference on Machine learning, pages 1052-1059. ACM, 2005.
    • (2005) Proceedings of the 22nd International Conference on Machine Learning , pp. 1052-1059
    • Zhu, X.1    Lafferty, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.