21 posters,  3 sessions,  58 authors,  17 institutions

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High Order Tensor Formulation for Convolutional Sparse Coding

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•Convolutional Sparse Coding (CSC) has gained attention for its successful role as a reconstruction and a classification tool.
•Current CSC method scan only reconstruct single feature 2D images independently.
•However, examining correlations among all the data jointly is very important and should be considered for reconstruction applications.
•In this paper, we propose a generic and novel formulation for the CSC problem that can handle an arbitrary order tensor of data.

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