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04/16/2018
Binary Matrix Factorization via Dictionary Learning
Matrix factorization is a key tool in data analysis; its applications in...
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An MDL framework for sparse coding and dictionary learning
The power of sparse signal modeling with learned over-complete dictionar...
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Low-rank data modeling via the Minimum Description Length principle
Robust low-rank matrix estimation is a topic of increasing interest, wit...
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Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling
A collaborative framework for detecting the different sources in mixed s...
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