Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis
Gabrielson B, Yang H, Vu T, Calhoun V, Adali T. Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis. IEEE Access 2024, 12: 192356-192376. DOI: 10.1109/access.2024.3517338.Peer-Reviewed Original ResearchTensor decompositionSize of modern datasetsRank-1 tensorsComputational complexity scalesCore tensorTucker decompositionFeature selectionComputational complexitySelection schemeData tensorMultidimensional arraysRank-1CoresetTensor dataMatrix decompositionModern datasetsMassive sizeMyriad of applicationsMethod efficiencyDatasetSelection abilityComplexity scalesMeasure of discrepancyWell-approximatedDecomposition method
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