乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:15:37Z","timestamp":1735586137071,"version":"3.28.0"},"reference-count":51,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1016\/j.inffus.2023.101974","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T15:40:29Z","timestamp":1692718829000},"page":"101974","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Multi-view Instance Attention Fusion Network for classification"],"prefix":"10.1016","volume":"101","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-5156-0305","authenticated-orcid":false,"given":"Jinxing","family":"Li","sequence":"first","affiliation":[]},{"given":"Chuhao","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xiaoqiang","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Mu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guangming","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Xu","sequence":"additional","affiliation":[]},{"given":"David","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.inffus.2023.101974_b1","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","article-title":"Face recognition using laplacianfaces","volume":"27","author":"He","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"F. Schroff, D. Kalenichenko, J. Philbin, Facenet: A unified embedding for face recognition and clustering, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 815\u2013823.","key":"10.1016\/j.inffus.2023.101974_b2","DOI":"10.1109\/CVPR.2015.7298682"},{"issue":"12","key":"10.1016\/j.inffus.2023.101974_b3","doi-asserted-by":"crossref","first-page":"2128","DOI":"10.1109\/TPAMI.2010.52","article-title":"Minutia cylinder-code: A new representation and matching technique for fingerprint recognition","volume":"32","author":"Cappelli","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.inffus.2023.101974_b4","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1109\/TIM.2010.2062610","article-title":"Selecting a reference high resolution for fingerprint recognition using minutiae and pores","volume":"60","author":"Zhang","year":"2010","journal-title":"IEEE Trans. Instrum. Meas."},{"doi-asserted-by":"crossref","unstructured":"H. Shao, D. Zhong, X. Du, Efficient deep palmprint recognition via distilled hashing coding, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.","key":"10.1016\/j.inffus.2023.101974_b5","DOI":"10.1109\/CVPRW.2019.00098"},{"key":"10.1016\/j.inffus.2023.101974_b6","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.inffus.2022.03.005","article-title":"Double-cohesion learning based multiview and discriminant palmprint recognition","volume":"83","author":"Zhao","year":"2022","journal-title":"Inf. Fusion"},{"doi-asserted-by":"crossref","unstructured":"J. Li, H. Yong, B. Zhang, M. Li, L. Zhang, D. Zhang, A probabilistic hierarchical model for multi-view and multi-feature classification, in: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32. No. 1, 2018.","key":"10.1016\/j.inffus.2023.101974_b7","DOI":"10.1609\/aaai.v32i1.11611"},{"issue":"9","key":"10.1016\/j.inffus.2023.101974_b8","doi-asserted-by":"crossref","first-page":"4272","DOI":"10.1109\/TNNLS.2017.2761401","article-title":"Shared autoencoder Gaussian process latent variable model for visual classification","volume":"29","author":"Li","year":"2017","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.inffus.2023.101974_b9","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.inffus.2018.02.005","article-title":"Generative multi-view and multi-feature learning for classification","volume":"45","author":"Li","year":"2019","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.inffus.2023.101974_b10","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.inffus.2022.08.014","article-title":"Comprehensive multi-view representation learning","volume":"89","author":"Zheng","year":"2023","journal-title":"Inf. Fusion"},{"issue":"99","key":"10.1016\/j.inffus.2023.101974_b11","first-page":"1","article-title":"Shared Gaussian process latent variable model for incomplete multiview clustering","author":"Li","year":"2018","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"10.1016\/j.inffus.2023.101974_b12","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1109\/TCYB.2019.2915789","article-title":"Shared linear encoder-based multikernel Gaussian process latent variable model for visual classification","volume":"51","author":"Li","year":"2019","journal-title":"IEEE Trans. Cybern."},{"issue":"7","key":"10.1016\/j.inffus.2023.101974_b13","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/JAS.2022.105686","article-title":"SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer","volume":"9","author":"Ma","year":"2022","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"12","key":"10.1016\/j.inffus.2023.101974_b14","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1109\/JAS.2022.106082","article-title":"SuperFusion: A versatile image registration and fusion network with semantic awareness","volume":"9","author":"Tang","year":"2022","journal-title":"IEEE\/CAA J. Autom. Sin."},{"key":"10.1016\/j.inffus.2023.101974_b15","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.inffus.2023.02.013","article-title":"Learnable graph convolutional network and feature fusion for multi-view learning","volume":"95","author":"Chen","year":"2023","journal-title":"Inf. Fusion"},{"issue":"12","key":"10.1016\/j.inffus.2023.101974_b16","doi-asserted-by":"crossref","first-page":"2639","DOI":"10.1162\/0899766042321814","article-title":"Canonical correlation analysis: An overview with application to learning methods","volume":"16","author":"Hardoon","year":"2004","journal-title":"Neural Comput."},{"issue":"05","key":"10.1016\/j.inffus.2023.101974_b17","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1142\/S012906570000034X","article-title":"Kernel and nonlinear canonical correlation analysis","volume":"10","author":"Lai","year":"2000","journal-title":"Int. J. Neural Syst."},{"unstructured":"G. Andrew, R. Arora, J. Bilmes, K. Livescu, Deep canonical correlation analysis, in: International Conference on Machine Learning, 2013, pp. 1247\u20131255.","key":"10.1016\/j.inffus.2023.101974_b18"},{"key":"10.1016\/j.inffus.2023.101974_b19","series-title":"AAAI","first-page":"6494","article-title":"Deep embedded complementary and interactive information for multi-view classification","author":"Xu","year":"2020"},{"year":"2020","author":"Su","series-title":"MSAF: Multimodal split attention fusion","key":"10.1016\/j.inffus.2023.101974_b20"},{"key":"10.1016\/j.inffus.2023.101974_b21","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1109\/TASLP.2021.3133196","article-title":"Multi-view speech emotion recognition via collective relation construction","volume":"30","author":"Hou","year":"2021","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.inffus.2023.101974_b22","article-title":"Trusted multi-view classification with dynamic evidential fusion","author":"Han","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.inffus.2023.101974_b23","series-title":"ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"4318","article-title":"Multi-view information bottleneck without variational approximation","author":"Zhang","year":"2022"},{"key":"10.1016\/j.inffus.2023.101974_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110590","article-title":"Learning enhanced specific representations for multi-view feature learning","author":"Hao","year":"2023","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"10.1016\/j.inffus.2023.101974_b25","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/BF00153759","article-title":"Instance-based learning algorithms","volume":"6","author":"Aha","year":"1991","journal-title":"Mach. Learn."},{"issue":"2","key":"10.1016\/j.inffus.2023.101974_b26","doi-asserted-by":"crossref","first-page":"1883","DOI":"10.4249\/scholarpedia.1883","article-title":"K-nearest neighbor","volume":"4","author":"Peterson","year":"2009","journal-title":"Scholarpedia"},{"issue":"10","key":"10.1016\/j.inffus.2023.101974_b27","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1109\/TKDE.2018.2872063","article-title":"A survey of multi-view representation learning","volume":"31","author":"Li","year":"2018","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"10.1016\/j.inffus.2023.101974_b28","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1109\/TPAMI.2015.2435740","article-title":"Multi-view discriminant analysis","volume":"38","author":"Kan","year":"2015","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.inffus.2023.101974_b29","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","article-title":"Nearest neighbor pattern classification","volume":"13","author":"Cover","year":"1967","journal-title":"IEEE Trans. Inf. Theory"},{"year":"2020","author":"Ouchi","series-title":"Instance-based learning of span representations: A case study through named entity recognition","key":"10.1016\/j.inffus.2023.101974_b30"},{"key":"10.1016\/j.inffus.2023.101974_b31","series-title":"2020 IEEE International Conference on Systems, Man, and Cybernetics","first-page":"147","article-title":"Instance-based learning for human action recognition","author":"Haddad","year":"2020"},{"key":"10.1016\/j.inffus.2023.101974_b32","first-page":"2423","article-title":"Sparse semi-supervised learning using conjugate functions","volume":"11","author":"Sun","year":"2010","journal-title":"J. Mach. Learn. Res."},{"issue":"12","key":"10.1016\/j.inffus.2023.101974_b33","doi-asserted-by":"crossref","first-page":"4453","DOI":"10.1109\/TPAMI.2020.3001433","article-title":"Multi-view representation learning with deep gaussian processes","volume":"43","author":"Sun","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"54","key":"10.1016\/j.inffus.2023.101974_b34","first-page":"1","article-title":"How deep are deep Gaussian processes?","volume":"19","author":"Dunlop","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.inffus.2023.101974_b35","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.ins.2015.05.019","article-title":"Feature selection for clustering using instance-based learning by exploring the nearest and farthest neighbors","volume":"318","author":"Chen","year":"2015","journal-title":"Inform. Sci."},{"issue":"4","key":"10.1016\/j.inffus.2023.101974_b36","doi-asserted-by":"crossref","first-page":"4981","DOI":"10.1109\/TPAMI.2022.3198411","article-title":"Multiview unsupervised shapelet learning for multivariate time series clustering","volume":"45","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.inffus.2023.101974_b37","series-title":"Advances in Neural Information Processing Systems. Vol. 27","article-title":"Recurrent models of visual attention","author":"Mnih","year":"2014"},{"unstructured":"D. Bahdanau, K.H. Cho, Y. Bengio, Neural machine translation by jointly learning to align and translate, in: 3rd International Conference on Learning Representations, ICLR 2015, 2015.","key":"10.1016\/j.inffus.2023.101974_b38"},{"key":"10.1016\/j.inffus.2023.101974_b39","series-title":"Advances in Neural Information Processing Systems. Vol. 30","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"key":"10.1016\/j.inffus.2023.101974_b40","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.inffus.2022.09.025","article-title":"Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions","volume":"91","author":"Gandhi","year":"2023","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.inffus.2023.101974_b41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.inffus.2021.02.022","article-title":"Multimodal feature-wise co-attention method for visual question answering","volume":"73","author":"Zhang","year":"2021","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.inffus.2023.101974_b42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.inffus.2021.12.008","article-title":"Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data","volume":"82","author":"Wang","year":"2022","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.inffus.2023.101974_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2019.07.004","article-title":"Instance selection based on boosting for instance-based learners","volume":"96","author":"de Haro-Garc\u00eda","year":"2019","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.inffus.2023.101974_b44","series-title":"KDD. Vol. 96. No. 34","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"Ester","year":"1996"},{"key":"10.1016\/j.inffus.2023.101974_b45","series-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"951","article-title":"Learning to detect unseen object classes by between-class attribute transfer","author":"Lampert","year":"2009"},{"key":"10.1016\/j.inffus.2023.101974_b46","series-title":"AAAI. Vol. 3","first-page":"5","article-title":"Learning systems of concepts with an infinite relational model","author":"Kemp","year":"2006"},{"doi-asserted-by":"crossref","unstructured":"T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y.-T. Zheng, NUS-WIDE: A Real-World Web Image Database from National University of Singapore, in: Proc. ACM Conf. Image Video Retrieval, CIVR\u201909, Santorini, Greece, July 8-10, 2009.","key":"10.1016\/j.inffus.2023.101974_b47","DOI":"10.1145\/1646396.1646452"},{"key":"10.1016\/j.inffus.2023.101974_b48","series-title":"2004 Conference on Computer Vision and Pattern Recognition Workshop","first-page":"178","article-title":"Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories","author":"Fei-Fei","year":"2004"},{"year":"2017","author":"Dheeru","series-title":"UCI Machine Learning Repository","key":"10.1016\/j.inffus.2023.101974_b49"},{"key":"10.1016\/j.inffus.2023.101974_b50","series-title":"Advances in Neural Information Processing Systems","first-page":"28","article-title":"Learning from multiple partially observed views-an application to multilingual text categorization","author":"Amini","year":"2009"},{"unstructured":"A. Zadeh, P. Pu, Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph, in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Long Papers, 2018.","key":"10.1016\/j.inffus.2023.101974_b51"}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253523002907?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253523002907?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T15:39:02Z","timestamp":1729957142000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253523002907"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":51,"alternative-id":["S1566253523002907"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2023.101974","relation":{},"ISSN":["1566-2535"],"issn-type":[{"type":"print","value":"1566-2535"}],"subject":[],"published":{"date-parts":[[2024,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-view Instance Attention Fusion Network for classification","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2023.101974","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101974"}}