Correction to “Convergence and Rate Analysis of Neural Networks for Sparse Approximation” [Sep 12 1377-1389]
Neural Networks and Learning Systems, IEEE Transactions （2014）
摘要
This document provides a correction to the proof of the theorem establishing the exponential speed of convergence of the Locally Competitive Algorithm (LCA) in the paper “Convergence and Rate Analysis of Neural Networks for Sparse Approximation.”
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关键词
Exponential convergence,Lyapunov function,global stability,locally competitive algorithm,nonsmooth objective,sparse approximation,sparse approximation.
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