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dc.contributor.authorBelous, G
dc.contributor.authorBusch, A
dc.contributor.authorGao, Y
dc.date.accessioned2020-12-21T01:19:42Z
dc.date.available2020-12-21T01:19:42Z
dc.date.issued2021
dc.identifier.issn0031-3203
dc.identifier.doi10.1016/j.patcog.2020.107581
dc.identifier.urihttp://hdl.handle.net/10072/400429
dc.description.abstractIn this paper, we propose a dual subspace discriminative projection learning (DSDPL) framework for multi-category image classification. Our approach reflects the notion that images are composed of class-shared information, class-specific information, and sparse noise. Unlike traditional subspace learning methods, DSDPL serves to decompose original high dimensional data, via learned projection matrices, into class-shared and class-specific subspaces. The learned projection matrices are jointly constrained with l2,1 sparse norm and LDA terms while the reconstructive properties of DSDPL reduce information loss, leading to greater stability within low dimensional subspaces. Regression-based terms are also included to facilitate a more robust classification approach, using extracted class-specific features for better classification. Our approach is examined on five different datasets for face, object and scene classifications. Experimental results demonstrate not only the superiority and versatility of DSDPL over current benchmark approaches, but also a more robust classification approach with low sample size training data.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom107581
dc.relation.ispartofjournalPattern Recognition
dc.relation.ispartofvolume111
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchComputer vision and multimedia computation
dc.subject.fieldofresearchData management and data science
dc.subject.fieldofresearchMachine learning
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4603
dc.subject.fieldofresearchcode4605
dc.subject.fieldofresearchcode4611
dc.titleDual subspace discriminative projection learning
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationBelous, G; Busch, A; Gao, Y, Dual subspace discriminative projection learning, Pattern Recognition, 2021, 111, pp. 107581
dc.date.updated2020-12-18T04:54:43Z
gro.hasfulltextNo Full Text
gro.griffith.authorBusch, Andrew W.
gro.griffith.authorGao, Yongsheng


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