{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:19:56Z","timestamp":1783181996468,"version":"3.54.6"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004177","name":"Ministry of Water Resources","doi-asserted-by":"publisher","award":["SKS2022072"],"award-info":[{"award-number":["SKS2022072"]}],"id":[{"id":"10.13039\/501100004177","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["B250201042"],"award-info":[{"award-number":["B250201042"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008048","name":"Nanjing University","doi-asserted-by":"publisher","award":["KFKT2025B04"],"award-info":[{"award-number":["KFKT2025B04"]}],"id":[{"id":"10.13039\/501100008048","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Jiangsu Province Natural Science Foundation","doi-asserted-by":"publisher","award":["BK20242050"],"award-info":[{"award-number":["BK20242050"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFB3900601"],"award-info":[{"award-number":["2021YFB3900601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC3006501"],"award-info":[{"award-number":["2023YFC3006501"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011246","name":"Nanjing University State Key Laboratory of Novel Software Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009012","name":"Hohai University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009012","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.patrec.2026.05.016","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T23:22:57Z","timestamp":1779319377000},"page":"90-96","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Representative instance selection strategy for discriminative features"],"prefix":"10.1016","volume":"206","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3390-4116","authenticated-orcid":false,"given":"Lixin","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ningyu","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yirui","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shivakumara","family":"Palaiahnakote","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5426-2618","authenticated-orcid":false,"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patrec.2026.05.016_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109896","article-title":"Learning geometric consistency and discrepancy for category-level 6D object pose estimation from point clouds","volume":"145","author":"Zou","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patrec.2026.05.016_bib0002","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.patrec.2023.02.028","article-title":"Comparing filter and wrapper approaches for feature selection in handwritten character recognition","volume":"168","author":"Cilia","year":"2023","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.05.016_bib0003","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2653","article-title":"Intra: 3D intracranial aneurysm dataset for deep learning","author":"Yang","year":"2020"},{"key":"10.1016\/j.patrec.2026.05.016_bib0004","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.patrec.2024.02.025","article-title":"A simple and efficient filter feature selection method via document-term matrix unitization","volume":"181","author":"Li","year":"2024","journal-title":"Pattern Recognit. Lett."},{"issue":"9","key":"10.1016\/j.patrec.2026.05.016_bib0005","doi-asserted-by":"crossref","first-page":"4094","DOI":"10.1109\/JSTARS.2017.2707519","article-title":"Remote sensing scene classification using a preclassification strategy and an improved structural feature","volume":"10","author":"Yuan","year":"2017","journal-title":"IEEE J. Sel. Topic. Appl. Earth Observ. Remote Sens."},{"key":"10.1016\/j.patrec.2026.05.016_bib0006","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.patrec.2023.11.021","article-title":"Hyperbolic prototypical network for few shot remote sensing scene classification","volume":"177","author":"Hamzaoui","year":"2024","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.05.016_bib0007","series-title":"Pattern classification, 2nd Edition","author":"Duda","year":"2001"},{"key":"10.1016\/j.patrec.2026.05.016_bib0008","series-title":"International Conference on Computer Vision, ICCV","first-page":"1407","article-title":"Infinite latent feature selection: a probabilistic latent graph-based ranking approach","author":"Roffo","year":"2017"},{"key":"10.1016\/j.patrec.2026.05.016_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108541","article-title":"Discriminative feature selection with directional outliers correcting for data classification","volume":"126","author":"Yuan","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patrec.2026.05.016_bib0010","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1109\/TIP.2023.3348992","article-title":"Feature selection based on intrusive outliers rather than all instances","volume":"33","author":"Yuan","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patrec.2026.05.016_bib0011","series-title":"AAAI Conference on Artificial Intelligence","first-page":"6287","article-title":"Instance selection: a bayesian decision theory perspective","author":"Chen","year":"2022"},{"key":"10.1016\/j.patrec.2026.05.016_bib0012","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.patrec.2026.05.016_bib0013","series-title":"International Symposium on Advances in Geographic Information Systems, ACM-GIS","first-page":"270","article-title":"Bag-of-visual-words and spatial extensions for land-use classification","author":"Yang","year":"2010"},{"key":"10.1016\/j.patrec.2026.05.016_bib0014","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"3","key":"10.1016\/j.patrec.2026.05.016_bib0015","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"ImageNet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patrec.2026.05.016_bib0016","unstructured":"J. Yu, C. Zhang, H. Wang, D. Zhang, Y. Song, T. Xiang, D. Liu, W. Cai, 3D Medical point transformer: introducing convolution to attention networks for medical point cloud analysis, arXiv (2021). arXiv: 2112.04863."},{"issue":"5","key":"10.1016\/j.patrec.2026.05.016_bib0017","doi-asserted-by":"crossref","first-page":"2407","DOI":"10.1109\/TIP.2016.2549360","article-title":"Compact representation of high-Dimensional feature vectors for large-scale image recognition and retrieval","volume":"25","author":"Zhang","year":"2016","journal-title":"IEEE Trans. on Image Process."},{"key":"10.1016\/j.patrec.2026.05.016_bib0018","series-title":"Annual Conference on Neural Information Processing Systems, NIPS","first-page":"1813","article-title":"Efficient and robust feature selection via joint l2,1-Norms minimization","author":"Nie","year":"2010"},{"issue":"1\u20132","key":"10.1016\/j.patrec.2026.05.016_bib0019","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1023\/A:1025667309714","article-title":"Theoretical and empirical analysis of relieff and RRelieff","volume":"53","author":"Robnik-Sikonja","year":"2003","journal-title":"Mach. Learn."},{"key":"10.1016\/j.patrec.2026.05.016_bib0020","series-title":"AAAI Conference on Artificial Intelligence","first-page":"671","article-title":"Trace ratio criterion for feature selection","author":"Nie","year":"2008"},{"key":"10.1016\/j.patrec.2026.05.016_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2021.104628","article-title":"Nonspecificity, strife and total uncertainty in supervised feature selection","volume":"109","author":"Lohrmann","year":"2022","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.patrec.2026.05.016_bib0022","series-title":"IJCAI","first-page":"1525","article-title":"Semi-supervised feature selection via rescaled linear regression","author":"Chen","year":"2017"},{"key":"10.1016\/j.patrec.2026.05.016_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110521","article-title":"Hessian-based semi-supervised feature selection using generalized uncorrelated constraint","volume":"269","author":"Sheikhpour","year":"2023","journal-title":"Knowl. Based Syst."},{"issue":"12","key":"10.1016\/j.patrec.2026.05.016_bib0024","doi-asserted-by":"crossref","first-page":"4396","DOI":"10.1109\/TPAMI.2020.3002843","article-title":"Infinite feature selection: a graph-based feature filtering approach","volume":"43","author":"Roffo","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patrec.2026.05.016_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107663","article-title":"Pairwise dependence-based unsupervised feature selection","volume":"111","author":"Lim","year":"2021","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patrec.2026.05.016_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.105462","article-title":"Robust neighborhood embedding for unsupervised feature selection","volume":"193","author":"Liu","year":"2020","journal-title":"Knowl.-Based Syst."},{"issue":"6","key":"10.1016\/j.patrec.2026.05.016_bib0027","doi-asserted-by":"crossref","first-page":"5522","DOI":"10.1109\/TCYB.2020.3034462","article-title":"Convex non-negative matrix factorization with adaptive graph for unsupervised feature selection","volume":"52","author":"Yuan","year":"2022","journal-title":"IEEE Trans. Cybern."},{"issue":"8","key":"10.1016\/j.patrec.2026.05.016_bib0028","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"Cai","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526001844?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526001844?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T15:53:41Z","timestamp":1783180421000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865526001844"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":28,"alternative-id":["S0167865526001844"],"URL":"https:\/\/doi.org\/10.1016\/j.patrec.2026.05.016","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Representative instance selection strategy for discriminative features","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patrec.2026.05.016","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}