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Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection

 
dc.contributor.authorHuang, Shaoguang
dc.contributor.authorZhang, Hongyan
dc.contributor.authorXue, Jize
dc.contributor.authorPizurica, Marija
dc.contributor.imecauthorXue, Jize
dc.contributor.imecauthorPizurica, Marija
dc.contributor.orcidimecPizurica, Marija::0000-0002-6653-4094
dc.date.accessioned2024-04-22T13:28:31Z
dc.date.available2022-03-27T02:07:21Z
dc.date.available2024-04-22T13:28:31Z
dc.date.issued2023
dc.description.wosFundingTextThis work was supported in part by the Flanders AI Research Programme under Grant 174B09119, in part by the Bijzonder Onderzoeksfonds (BOF) under Grant BOF.24Y.2021.0049.01, and in part by the National Natural Science Foundation of China under Grant 61871298 and Grant 42071322.
dc.identifier.doi10.1109/TNNLS.2022.3157711
dc.identifier.issn2162-237X
dc.identifier.pmidMEDLINE:35294365
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39538
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage9259
dc.source.endpage9273
dc.source.issue11
dc.source.journalIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
dc.source.numberofpages15
dc.source.volume34
dc.subject.keywordsDIMENSIONALITY REDUCTION
dc.subject.keywordsSPARSE TENSOR
dc.subject.keywordsCLASSIFICATION
dc.subject.keywordsIMAGES
dc.subject.keywordsDECOMPOSITION
dc.subject.keywordsINFORMATION
dc.title

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection

dc.typeJournal article
dspace.entity.typePublication
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