Sparse principal component analysis (SPCA) extends classical principal component analysis to settings where the number of variables greatly exceeds the number of observations. By imposing sparsity ...
Incoherent structured illumination microscopy based on principal component analysis (PCA-iSIM) (IMAGE) Smart Computational Imaging Laboratory (SCILab), Nanjing University of Science and Technology ...
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