An initialization strategy for the dictionary learning problem

Rusu, Cristian and Dumitrescu, Bogdan (2014) An initialization strategy for the dictionary learning problem. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Florence, pp. 6731-6735. ISBN 9781479928934

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Abstract

In this paper we present an efficient initialization strategy that improves the performance of overcomplete dictionary learning algorithms. The procedure exploits incoherent structures that can be manipulated and adapted to a given dataset relatively fast. The algorithm involves an iterative adaptation of the dictionary to the dataset with pruning of the less used atoms and constructions of new atoms that fit the data better. Experimental simulations show that the proposed method improves the performance of classical and new developments in dictionary learning algorithms.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	03 Jul 2018 10:10
Last Modified:	03 Jul 2018 10:10
URI:	https://norma.ncirl.ie/id/eprint/3050

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