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dc.contributor.authorRong, Y
dc.contributor.authorXiong, S
dc.contributor.authorGao, Y
dc.date.accessioned2020-09-09T23:45:28Z
dc.date.available2020-09-09T23:45:28Z
dc.date.issued2020
dc.identifier.issn1057-7149
dc.identifier.doi10.1109/TIP.2020.3004246
dc.identifier.urihttp://hdl.handle.net/10072/397272
dc.description.abstractIn this paper, we present a novel double graph regularized double dictionary learning (DGRDDL) method for image classification. The proposed method jointly constructs a number of class-specific sub-dictionaries to capture the most discriminative features (class-specific information) of each class, and a class-shared dictionary to model the common patterns (class-shared information) shared by the images from different classes. A novel double graph regularization is proposed to correctly represent and differentiate these two types of information. Specifically, an intra-class similarity graph constraint is imposed on the representation coefficients over the class-specific dictionaries, and an inter-class similarity graph constraint is applied on the representation coefficients over the class-shared dictionary. In this way, the representations learned by the proposed DGRDDL method can correctly model the local similarity relationships of the class-specific and the class-shared information in images, respectively. Moreover, due to the differences between the intra-class and inter-class similarity graphs, the two types of information can be appropriately separated and captured by the learned dictionaries. We evaluate the performance of the proposed method on six public datasets and compared against those of seven benchmark methods. The experimental results demonstrate the effectiveness and superiority of the proposed method in image classification over the benchmark dictionary learning methods.
dc.description.peerreviewedYes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofpagefrom7707
dc.relation.ispartofpageto7721
dc.relation.ispartofjournalIEEE Transactions on Image Processing
dc.relation.ispartofvolume29
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode5204
dc.titleDouble Graph Regularized Double Dictionary Learning for Image Classification
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationRong, Y; Xiong, S; Gao, Y, Double Graph Regularized Double Dictionary Learning for Image Classification, IEEE Transactions on Image Processing, 2020, 29, pp. 7707-7721
dc.date.updated2020-09-09T23:43:31Z
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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