DocumentCode
14769
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
Volume
25
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
1595
Lastpage
1596
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.;
fLanguage
English
Journal_Title
Neural Networks and Learning Systems, IEEE Transactions on
Publisher
ieee
ISSN
2162-237X
Type
jour
DOI
10.1109/TNNLS.2013.2292700
Filename
6679215
Link To Document