dc.contributor.author | Barchiesi, Daniele | |
dc.contributor.author | Plumbley, Mark | |
dc.date.accessioned | 2013-12-30T11:33:06Z | |
dc.date.available | 2013-12-30T11:33:06Z | |
dc.date.issued | 2013-12-30 | |
dc.identifier.issn | 2043-0167 | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/5014 | |
dc.description.sponsorship | This work was supported by the Queen Mary University of London School Studentship, the EU FET-Open project FP7-
ICT-225913-SMALL. Sparse Models, Algorithms and Learning for Large-scale data and a Leadership Fellowship from the UK
Engineering and Physical Sciences Research Council (EPSRC). | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | School of Electronic Engineering and Computer Science Research Reports;EECSRR-12-02 - April 2012 | |
dc.subject | Sparse approximation | en_US |
dc.subject | dictionary learning | en_US |
dc.subject | iterative projections | en_US |
dc.subject | Lie group methods | en_US |
dc.title | Learning incoherent dictionaries for sparse approximation using iterative projections and rotations | en_US |
dc.type | Technical Report | en_US |