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

@article{Wang2013SemisupervisedRD,
  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},
  year={2013},
  pages={1145-1152}
}
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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