Two Dimensional Compressive Classifier for Sparse Images
Conventional random projection scheme is first extended to the image domain and the key notion of concentration of measure is closely studied to develop a 2D compressive classifier (2D-CC) for sparse images. The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements …
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