Joint learning and dictionary construction for pattern recognition

@article{Pham2008JointLA,
  title={Joint learning and dictionary construction for pattern recognition},
  author={Duc-Son Pham and Svetha Venkatesh},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier parameters. Formulating an optimization problem that combines the objective function of the classification with the representation error of both labeled and unlabeled data, constrained by sparsity, we propose an algorithm that alternates between solving for subsets of parameters, whilst preserving the sparsity. The… CONTINUE READING
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Codes and datasets for subspace learning. Available online at www.cs.uiuc.edu/homes/dengcai2/Data/data.html

  • D. Cai
  • As retrieved on October
  • 2007
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