dc.contributor.author | Huang, Shaoguang | |
dc.contributor.author | Zhang, Hongyan | |
dc.contributor.author | Xue, Jize | |
dc.contributor.author | Pizurica, Marija | |
dc.date.accessioned | 2024-04-22T13:28:31Z | |
dc.date.available | 2022-03-27T02:07:21Z | |
dc.date.available | 2024-04-22T13:28:31Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2162-237X | |
dc.identifier.other | WOS:000770595900001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/39538.2 | |
dc.source | WOS | |
dc.title | Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection | |
dc.type | Journal article | |
dc.contributor.imecauthor | Xue, Jize | |
dc.contributor.imecauthor | Pizurica, Marija | |
dc.contributor.orcidimec | Pizurica, Marija::0000-0002-6653-4094 | |
dc.identifier.doi | 10.1109/TNNLS.2022.3157711 | |
dc.source.numberofpages | 15 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 9259 | |
dc.source.endpage | 9273 | |
dc.source.journal | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | |
dc.identifier.pmid | MEDLINE:35294365 | |
dc.source.issue | 11 | |
dc.source.volume | 34 | |
imec.availability | Published - imec | |
dc.description.wosFundingText | This 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. | |