{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:02:45Z","timestamp":1742958165554,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030873547"},{"type":"electronic","value":"9783030873554"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87355-4_41","type":"book-chapter","created":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T01:41:04Z","timestamp":1632966064000},"page":"491-501","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Hypergraph Regularized Broad Learning System for Image Classification"],"prefix":"10.1007","author":[{"given":"Xiaoxiao","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peilin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"41_CR1","doi-asserted-by":"publisher","unstructured":"Cai, S., Zhang, L., Zuo, W., Feng, X.: A probabilistic collaborative representation based approach for pattern classification. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.322","DOI":"10.1109\/CVPR.2016.322"},{"key":"41_CR2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science (2006). https:\/\/doi.org\/10.1126\/science.1127647","journal-title":"Science"},{"key":"41_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/0925-2312(94)90053-1","author":"YH Pao","year":"1994","unstructured":"Pao, Y.H., Park, G.H., Sobajic, D.J.: Learning and generalization characteristics of the random vector functional-link net. Neurocomputing (1994). https:\/\/doi.org\/10.1016\/0925-2312(94)90053-1","journal-title":"Neurocomputing"},{"key":"41_CR4","doi-asserted-by":"publisher","unstructured":"Klassen, M., Pao, Y.H., Chen, V.: Characteristics of the functional link net: a higher order delta rule net (1988). https:\/\/doi.org\/10.1109\/icnn.1988.23885","DOI":"10.1109\/icnn.1988.23885"},{"issue":"1","key":"41_CR5","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/TNNLS.2017.2716952","volume":"29","author":"CL Chen","year":"2018","unstructured":"Chen, C.L., Liu, Z.: Broad learning system: an effective and efficient incremental learning system without the need for deep architecture. IEEE Trans. Neural Netw. Learn. Syst. 29(1), 10\u201324 (2018). https:\/\/doi.org\/10.1109\/TNNLS.2017.2716952","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"41_CR6","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.neucom.2018.09.028","volume":"322","author":"JW Jin","year":"2018","unstructured":"Jin, J.W., Philip Chen, C.L.: Regularized robust Broad Learning System for uncertain data modeling. Neurocomputing 322, 58\u201369 (2018). https:\/\/doi.org\/10.1016\/j.neucom.2018.09.028","journal-title":"Neurocomputing"},{"key":"41_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943188","author":"B Liu","year":"2019","unstructured":"Liu, B., Zeng, X., Tian, F., Zhang, S., Zhao, L.: Domain transfer broad learning system for long-term drift compensation in electronic nose systems. IEEE Access (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2943188","journal-title":"IEEE Access"},{"key":"41_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.3009417","author":"Y Zheng","year":"2020","unstructured":"Zheng, Y., Chen, B., Wang, S., Wang, W.: Broad learning system based on maximum correntropy criterion. IEEE Trans. Neural Netw. Learn. Syst. (2020). https:\/\/doi.org\/10.1109\/tnnls.2020.3009417","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"41_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2032939","author":"D Song","year":"2010","unstructured":"Song, D., Tao, D.: Biologically inspired feature manifold for scene classification. IEEE Trans. Image Process. (2010). https:\/\/doi.org\/10.1109\/TIP.2009.2032939","journal-title":"IEEE Trans. Image Process."},{"key":"41_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2650943","author":"H Li","year":"2018","unstructured":"Li, H., Liu, D., Wang, D.: Manifold Regularized Reinforcement Learning. IEEE Trans. Neural Netw. Learn. Syst. (2018). https:\/\/doi.org\/10.1109\/TNNLS.2017.2650943","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"41_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2789932","author":"C Luo","year":"2018","unstructured":"Luo, C., Ma, L.: Manifold regularized distribution adaptation for classification of remote sensing images. IEEE Access (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2789932","journal-title":"IEEE Access"},{"key":"41_CR12","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0205","author":"D Zhou","year":"2007","unstructured":"Zhou, D., Huang, J., Sch\u00f6lkopf, B.: Learning with hypergraphs: clustering, classification, and embedding. Adv. Neural. Inf. Process. Syst. (2007). https:\/\/doi.org\/10.7551\/mitpress\/7503.003.0205","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"41_CR13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2190083","author":"J Yu","year":"2012","unstructured":"Yu, J., Tao, D., Wang, M.: Adaptive hypergraph learning and its application in image classification. IEEE Trans. Image Process. (2012). https:\/\/doi.org\/10.1109\/TIP.2012.2190083","journal-title":"IEEE Trans. Image Process."},{"key":"41_CR14","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Lin, H., Gao, Y.: Dynamic hypergraph structure learning. In: IJCAI International Joint Conference on Artificial Intelligence (2018). https:\/\/doi.org\/10.24963\/ijcai.2018\/439","DOI":"10.24963\/ijcai.2018\/439"},{"key":"41_CR15","doi-asserted-by":"publisher","unstructured":"Samaria, F.S., Harter, A.C.: Parameterisation of a stochastic model for human face identification. In: IEEE Workshop on Applications of Computer Vision - Proceedings (1994). https:\/\/doi.org\/10.1109\/acv.1994.341300","DOI":"10.1109\/acv.1994.341300"},{"key":"41_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-72201-1_25","author":"DB Graham","year":"1998","unstructured":"Graham, D.B., Allinson, N.M.: Characterising virtual eigen signatures for general purpose face recognition. Face Recogn. (1998). https:\/\/doi.org\/10.1007\/978-3-642-72201-1_25","journal-title":"Face Recogn."},{"key":"41_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE (1998). https:\/\/doi.org\/10.1109\/5.726791","journal-title":"Proc. IEEE"},{"key":"41_CR18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79","author":"J Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. (2009). https:\/\/doi.org\/10.1109\/TPAMI.2008.79","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"41_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.128","author":"I Naseem","year":"2010","unstructured":"Naseem, I., Togneri, R., Bennamoun, M.: Linear regression for face recognition. IEEE Trans. Pattern Anal. Mach. Intell. (2010). https:\/\/doi.org\/10.1109\/TPAMI.2010.128","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"41_CR20","doi-asserted-by":"publisher","DOI":"10.2307\/1271368","author":"Y Wu","year":"1999","unstructured":"Wu, Y., Vapnik, V.N.: Statistical learning theory. Technometrics (1999). https:\/\/doi.org\/10.2307\/1271368","journal-title":"Technometrics"},{"key":"41_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.011714.130846","author":"OE Ayach","year":"2014","unstructured":"Ayach, O.E., Rajagopal, S., Abu-Surra, S., Pi, Z., Heath, R.W.: Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans. Wireless Commun. (2014). https:\/\/doi.org\/10.1109\/TWC.2014.011714.130846","journal-title":"IEEE Trans. Wireless Commun."}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87355-4_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T01:41:22Z","timestamp":1632966082000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87355-4_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030873547","9783030873554"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87355-4_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icig2021.csig.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"421","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"198","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was postponed due to the COVID19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}