Data-sparse approximation on the computation of a weakly singular Fredholm equation
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DOI: 10.1016/j.apnum.2016.08.010
Abstract: Data-sparse representation techniques are emerging on computing approximate solutions for large scale problems involving matrices with low numerical rank. This representation provides both low memory requirements and cheap computational costs.In this work we consider the… read more here.
Keywords: data sparse; sparse; representation; sparse approximation ... See more keywords
Speed Up Bilateral Filtering via Sparse Approximation on a Learned Cosine Dictionary
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DOI: 10.1109/tcsvt.2019.2893322
Abstract: The edge-preserving bilateral filter (BF) is a widely used smoothing tool in many applications. However, its brute-force implementation depends on the size of the box window. The shortcoming causes BF time-consuming for the image processing… read more here.
Keywords: cosine dictionary; cosine approximation; learned cosine; approximation ... See more keywords