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l21-norm
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PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".
pytorchtensor-factorizationrobust-optimizationnonnegativity-constraintsnon-negative-matrix-factorizationparafacbeta-divergencemajorize-minimizationl21-normnon-negative-tensor-factorization
- Updated
Nov 12, 2023 - Jupyter Notebook
Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
pythonnlpdata-sciencemachine-learningdeep-learningmatrix-factorizationimage-classificationnoisefactorizationnmfl2-regularizationrobustnessnon-negative-matrix-factorizationl1-norml2-norml21-norm
- Updated
Jun 7, 2021 - Jupyter Notebook
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