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Showing 1 to 3 of 3 for “"Sparse Representation (SR)"”.
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Sparse Representation and its Application to Multivariate Time Series Classification
… signal in order to obtain meaningful outcome. Sparse representation (SR) has continued to receive great attention as one of the well-known tools in statistical theory which among others, is used to extract specific latent temporal features that can reveal salient primitive and sparsely …
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Sparse Representation and its Application to Multivariate Time Series Classification
… signal in order to obtain meaningful outcome. Sparse representation (SR) has continued to receive great attention as one of the well-known tools in statistical theory which among others, is used to extract specific latent temporal features that can reveal salient primitive and sparsely …
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Criminal data analysis based on low rank sparse representation
… segmentation which included the Low Rank Representation (LRR) and Sparse Representation (SR). The former seeks the global lowest-rank representation but restrictively assumes the independence among subspaces, whereas the latter seeks the clustering of disjoint or overlapped subspaces …