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Dec 30, 2017 · Given actionlets and their temporal relationship, we precede here to present a sparse coding approach which is based on the temporal ...
We propose a new temporal relationship representation, called action graphs based on Laplacian matrices and Allen's temporal relationships. Recognition ...
We propose a new temporal relationship representation, called action graphs based on Laplacian matrices and Allen's temporal relationships. Recognition ...
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Nov 15, 2018 · We present a sparse coding-based framework for motion style de- composition and synthesis. Dynamic Time Warping is firstly used to synchronized ...
Aug 27, 2015 · However, if your graphs are really very dense, their complements might be sparse. Thus, it might be worth considering solving CLIQUE in the ...
Missing: Coding. | Show results with:Coding.
Structured sparse coding exploits the structure sparsity for a certain purpose such as group sparsity [23], hierarchical sparsity [24] and latent space [25].
A novel theoretical analysis of the graph regularized sparse coding problem, providing worst-case guarantees for the stability of the obtained solution.
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A novel theoretical analysis of the graph regularized sparse coding problem, providing worst-case guarantees for the stability of the obtained solution.
Missing: Decomposition | Show results with:Decomposition
Experiments have shown that modelling a signal with such a sparse decomposition (sparse coding) is very effective in many signal processing applications (Chen ...