Title :
Correction to “Convergence and Rate Analysis of Neural Networks for Sparse Approximation” [Sep 12 1377-1389]
Author :
Balavoine, Aurele ; Romberg, Justin ; Rozell, Christopher J.
Author_Institution :
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Abstract :
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.”
Keywords :
Algorithm design and analysis; Approximation algorithms; Approximation methods; Convergence; Lyapunov methods; Neural networks; Exponential convergence; Lyapunov function; global stability; locally competitive algorithm; nonsmooth objective; sparse approximation; sparse approximation.;
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
DOI :
10.1109/TNNLS.2013.2292700
