Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization

  title={Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization},
  author={Hua Wang and Feiping Nie and Tom Weidong Cai and Heng Huang},
  journal={2013 IEEE International Conference on Computer Vision},
Representing the raw input of a data set by a set of relevant codes is crucial to many computer vision applications. Due to the intrinsic sparse property of real-world data, dictionary learning, in which the linear decomposition of a data point uses a set of learned dictionary bases, i.e., codes, has demonstrated state-of-the-art performance. However, traditional dictionary learning methods suffer from three weaknesses: sensitivity to noisy and outlier samples, difficulty to determine the… CONTINUE READING
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Publications referenced by this paper.
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Discriminative learned dictionaries for local image analysis

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008
View 5 Excerpts
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Decoding by linear programming

IEEE Transactions on Information Theory • 2005
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