Tensor Sparse Coding for Region Covariances

  title={Tensor Sparse Coding for Region Covariances},
  author={Ravishankar Sivalingam and Daniel Boley and Vassilios Morellas and Nikolaos Papanikolopoulos},
Sparse representation of signals has been the focus of much research in the recent years. A vast majority of existing algorithms deal with vectors, and higher–order data like images are dealt with by vectorization. However, the structure of the data may be lost in the process, leading to a poorer representation and overall performance degradation. In this paper we propose a novel approach for sparse representation of positive definite matrices, where vectorization will destroy the inherent… CONTINUE READING
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