Learning-Based Image Reconstruction via Parallel Proximal Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2833812
Abstract: In the past decade, sparsity-driven regularization has led to the advancement of image reconstruction algorithms. Traditionally, such regularizers rely on analytical models of sparsity [e.g., total variation (TV)]. However, more recent methods are increasingly centered around… read more here.
Keywords: reconstruction; parallel proximal; image reconstruction; proximal algorithm ... See more keywords
A Second-Order Proximal Algorithm for Consensus Optimization
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DOI: 10.1109/tac.2020.2996205
Abstract: We develop a distributed second-order proximal algorithm, referred to as SoPro, to address in-network consensus optimization. The proposed SoPro algorithm converges linearly to the exact optimal solution, provided that the global cost function is locally… read more here.
Keywords: optimization; proximal algorithm; order proximal; order ... See more keywords