Joint learning and dictionary construction for pattern recognition
dc.contributor.author | Pham, DucSon | |
dc.contributor.author | Venkatesh, Svetha | |
dc.contributor.editor | Not known | |
dc.date.accessioned | 2017-01-30T11:01:39Z | |
dc.date.available | 2017-01-30T11:01:39Z | |
dc.date.created | 2014-10-28T02:23:21Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Pham, D. and Venkatesh, S. 2008. Joint learning and dictionary construction for pattern recognition, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 23-28 2008. Anchorage, Alaska: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/7656 | |
dc.identifier.doi | 10.1109/CVPR.2008.4587408 | |
dc.description.abstract |
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier parameters. Formulating an optimization problem that combines the objective function of the classification with the representation error of both labeled and unlabeled data, constrained by sparsity, we propose an algorithm that alternates between solving for subsets of parameters, whilst preserving the sparsity. The method is then evaluated over two important classification problems in computer vision: object categorization of natural images using the Caltech 101 database and face recognition using the Extended Yale B face database. The results show that the proposed method is competitive against other recently proposed sparse overcomplete counterparts and considerably outperforms many recently proposed face recognition techniques when the number training samples is small. | |
dc.publisher | IEEE | |
dc.title | Joint learning and dictionary construction for pattern recognition | |
dc.type | Conference Paper | |
dcterms.source.title | IEEE Computer Society Conference on Computer Vision and Pattern Recognition | |
dcterms.source.series | IEEE Computer Society Conference on Computer Vision and Pattern Recognition | |
dcterms.source.isbn | 9781424422432 | |
dcterms.source.conference | CVPR 2008 | |
dcterms.source.conference-start-date | Jun 22 2008 | |
dcterms.source.conferencelocation | Alaska | |
dcterms.source.place | USA | |
curtin.department | Department of Computing | |
curtin.accessStatus | Fulltext not available |