Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries

@inproceedings{Xiang2011LearningSR,
  title={Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries},
  author={Zhen James Xiang and Hao Xu and Peter J. Ramadge},
  booktitle={NIPS},
  year={2011}
}
Learning sparse representations on data adaptive dictionaries is a state-of-the-art method for modeling data. But when the dictionary is large and the data dimension is high, it is a computationally challenging problem. We explore three aspects of the problem. First, we derive new, greatly improved screening tests that quickly identify codewords that are guaranteed to have zero weights. Second, we study the properties of random projections in the context of learning sparse representations… CONTINUE READING
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