Multi-class Image Classification - Sparsity does it Better

@inproceedings{Fanello2013MulticlassIC,
  title={Multi-class Image Classification - Sparsity does it Better},
  author={Sean Ryan Fanello and Nicoletta Noceti and Giorgio Metta and Francesca Odone},
  booktitle={VISAPP},
  year={2013}
}
It is well assessed that sparse representations improve the overall accuracy and the systems performances of many image classification problems. This paper deals with the problem of finding sparse and discriminative representations of images in multi-class settings. We propose a new regularized functional, which is a modification of the standard dictionary learning problem, designed to learn one dictionary per class. With this new formulation, while positive examples are constrained to have… CONTINUE READING

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