The European UNLocX and SMALL projects are organizing a public joint workshop on Sparsity, Localization and Dictionary Learning. The event was held at the Queen Mary University of London, on June 26 & 27, 2012.
Sparse signal models centred around a learned sparsifying dictionary, have proved to yield flexible and efficient approaches that can tackle some modern applications, where scalability and efficiency are paramount. However, some complex applications for instance in the life sciences or audio signal processing still cannot be solved appropriately with existing algorithms. An alternative is to find signal representations that allow the derivation of ultra-efficient algorithms, based on localisation measures that allow the construction of minimising waveforms.
In this workshop, we present existing work on sparsity, dictionary leaning methods, and localisation. We consider how they address the need to develop algorithms that can meet modern challenges, and discuss future directions in this field.
Programme and Invited Speakers
Centre for Digital Music
Queen Mary University of London
Mile End Road, London E1 4NS, UK
Tel: +44 (0)20 7882 7986
Fax: +44 (0)20 7882 7997