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Learning incoherent dictionaries for sparse approximation using iterative projections and rotations

dc.contributor.authorBarchiesi, Daniele
dc.contributor.authorPlumbley, Mark
dc.date.accessioned2013-12-30T11:33:06Z
dc.date.available2013-12-30T11:33:06Z
dc.date.issued2013-12-30
dc.identifier.issn2043-0167
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/5014
dc.description.sponsorshipThis 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.isoenen_US
dc.relation.ispartofseriesSchool of Electronic Engineering and Computer Science Research Reports;EECSRR-12-02 - April 2012
dc.subjectSparse approximationen_US
dc.subjectdictionary learningen_US
dc.subjectiterative projectionsen_US
dc.subjectLie group methodsen_US
dc.titleLearning incoherent dictionaries for sparse approximation using iterative projections and rotationsen_US
dc.typeTechnical Reporten_US


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