Compressive Principal Component Pursuit

Here are two presentation of the Compressive Principal Component Pursuit and Modeling High-dimensional (Visual) Data by Yi Ma which feature in part some theoretical work that provides some grounding to PCP (  for instance SpaRCS: Recovering Low-rank and Sparse matrices from Compressive Measurements is based on CoSAMP competes with CPCP yet has little theoretical grounding) The supporting papers which provide the theoretical grounding are:  Principal Component […]