Sparse embedding: a framework for sparsity promoting dimensionality reduction

@inproceedings{Nguyen2012SparseEA,
  title={Sparse embedding: a framework for sparsity promoting dimensionality reduction},
  author={Hien Van Nguyen and Vishal M. Patel and Nasser M. Nasrabadi and Rama Chellappa},
  booktitle={ECCV 2012},
  year={2012}
}
We introduce a novel framework, called sparse embedding (SE), for simultaneous dimensionality reduction and dictionary learning. We formulate an optimization problem for learning a transformation from the original signal domain to a lower-dimensional one in a way that preserves the sparse structure of data. We propose an efficient optimization algorithm and present its non-linear extension based on the kernel methods. One of the key features of our method is that it is computationally efficient… CONTINUE READING
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