TRAP@NCI

Fast design of efficient dictionaries for sparse representations

Rusu, Cristian (2012) Fast design of efficient dictionaries for sparse representations. In: 2012 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, Santander, pp. 1-5. ISBN 9781467310260

Full text not available from this repository.

Abstract

One of the central issues in the field of sparse representations is the design of overcomplete dictionaries with a fixed sparsity level from a given dataset. This article describes a fast and efficient procedure for the design of such dictionaries. The method implements the following ideas: a reduction technique is applied to the initial dataset to speed up the upcoming procedure; the actual training procedure runs a more sophisticated iterative expanding procedure based on K-SVD steps. Numerical experiments on image data show the effectiveness of the proposed design strategy.

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 NI MHAICIN
Date Deposited: 03 Jul 2018 11:36
Last Modified: 03 Jul 2018 11:36
URI: http://trap.ncirl.ie/id/eprint/3058

Actions (login required)

View Item View Item