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Showing 1 to 2 of 2 for “"Low Rank Modeling"”.
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A Supervised Low-Rank Matrix Decomposition for Matching
… rely on techniques such as sparse coding and low-rank matrix decomposition. Those build a generative representation of the data that on the one hand, attempts capturing all the information descriptive of an identity; on the other hand, training and testing are complex to allow those algorithms …
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Spatio-temporal tomographic imaging
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms