ZHANG Lihe and ZHANG Kunyu, “Weighted Discriminative Sparse Coding for Image Classification,” Chinese Journal of Electronics, vol. 23, no. 1, pp. 104-108, 2014,
Citation: ZHANG Lihe and ZHANG Kunyu, “Weighted Discriminative Sparse Coding for Image Classification,” Chinese Journal of Electronics, vol. 23, no. 1, pp. 104-108, 2014,

Weighted Discriminative Sparse Coding for Image Classification

Funds:  This work is supported by the Fundamental Research Funds for the Central Universities (DUT12JS05).
  • Received Date: 2013-01-01
  • Rev Recd Date: 2013-02-01
  • Publish Date: 2014-01-05
  • In the discriminative sparse coding, the reconstruction residual over each class-specific subdictionary can provide great discriminative and label information. In this paper, we propose a weighted discriminative sparse coding method by using the residual as the weight. For a test sample, we first compute its sparse code over each learnt sub-dictionary, and then use the reconstruction residual over each sub-dictionary to weight the corresponding sub-dictionary, thereby forming a weighted sample-specific structure dictionary, over which we compute a new sparse code for the test sample. This code carries more discriminative information about interclass difference. Our method yields a unique structure dictionary for each test sample, so that samples with the same class labels have more similar distributions of dictionary atom contributions. Experimental results demonstrate that the proposed method outperforms some state-of-the-art methods under the same learning conditions.
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  • L.C. Jiao, S.Y. Yang, F. Liu and B. Hou,"Development and prospect of compressive sensing", ACTA Electronica Sinica, Vol.39, No.7, pp.1651-1662, 2011. (in Chinese)
    S. Lazebnik and J. Ponce,"Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories", Proc. of International Conference on Computer Vision and Pattern Recognition, New York, USA, pp.2169-2178, 2006.
    J. Yang and T. Huang,"Linear spatial pyramid matching using sparse coding for image classification", Proc. of International Conference on Computer Vision and Pattern Recognition, Miami, USA, pp.1794-1801, 2009.
    J. Wang and Y. Gong,"Locality-constrained linear coding for image classification", Proc. of International Conference on Computer Vision and Pattern Recognition, San Francisco, pp.3360-3367, 2010.
    J. Wright, M. Yang, A. Ganesh, S. Sastry and Y. Ma,"Robust face recognition via sparse representation", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.31, No.2, pp.210227, 2009.
    M. Aharon, M. Elad and A. Bruckstein,"K-svd: An algorithm for designing over-complete dictionaries for sparse representation", IEEE Trans. on Signal Processing, Vol.54, No.11, pp.4311-4322, 2006.
    D.S. Pham and S. Venkatesh,"Joint learning and dictionary construction for pattern recognition", Proc. of International Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, USA, pp.1-8, 2008.
    Q. Zhang and B.X. Li,"Discriminative k-svd for dictionary learning in face recognition", Proc. of International Conference on Computer Vision and Pattern Recognition, San Francisco, pp.2691-2698, 2010.
    M. Yang, L. Zhang, J. Yang and D. Zhang,"Robust sparse coding for face recognition", Proc. of International Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, pp.625-632, 2011.
    Z.L. Jiang, Z. Lin and L.S. Davis,"Learning a discriminative dictionary for sparse coding via label consistent k-svd", Proc. of International Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, pp.1697-1704, 2011.
    D.G. Lowe,"Distinctive image features from scale-invariant keypoints", International Journal of Computer Vision, Vol.60, No.2, pp.91-110, 2004.
    H. Lee and A.Y. Ng,"Efficient sparse coding algorithms", Proc. of Advances in Neural Information Processing Systems, Vancouver, Canada, pp.801-808, 2006.
    M.A.T. Figueiredo, R.D. Nowak and S.J. Wright,"Gradient projection for sparse reconstruction application to compressed sensing and other inverse problems", IEEE Journal of Selected Topics in Signal Processing, Vol.1, No.4, pp.586-597, 2007.
    J.C. van Gemert, J.M. Geusebroek, C.J. Veenman and A.W.M. Smeulders,"Kernel codebooks for scene categorization", Proc. of European Conference on Computer Vision, Marseille, France, pp.696-709, 2008.
    L. Liu, L.Wang, and X. Liu."In defense of soft-assignment coding", Proc. of International Conference on Computer Vision, Barcelona, Spain, pp.2486-2493, 2011.
    X.C. Lian, Z.W. Li, B.L. Lu and L. Zhang,"Max-margin dictionary learning for multiclass image categorinization", Proc. of European Conference on Computer Vision, Crete, Greece, pp.157-170, 2010.
    S.H. Gao, L.T. Chia and I. Tsang,"Multi-layer group sparse coding for concurrent image classification and annotation", Proc. of International Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, pp.2809-2816, 2011.
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