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Global hard thresholding algorithms for joint sparse image representation and denoising
In this work we propose a new framework for joint sparse representation and recovery of all image patches simultaneously.
Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization
Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method.
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