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On learning matrices with orthogonal columns or disjoint supports

Archive ouverte | Vervier, Kevin | CCSD

16 pages. We investigate new matrix penalties to jointly learn linear models with orthogonality constraints, generalizing the work of Xiao et al. [24] who proposed a strictly convex matrix norm for orthogonal trans-...

Large-scale machine learning for metagenomics sequence classification

Archive ouverte | Vervier, Kevin | CCSD

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Large-scale Machine Learning for Metagenomics Sequence Classification

Archive ouverte | Vervier, Kévin | CCSD

Metagenomics characterizes the taxonomic diversity of microbial communities by sequencing DNA directly from an environmental sample. One of the main challenges in metagenomics data analysis is the binning step, where each sequence...

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