{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T01:58:42Z","timestamp":1771552722704,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41571401"],"award-info":[{"award-number":["41571401"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971365"],"award-info":[{"award-number":["41971365"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing, China","doi-asserted-by":"publisher","award":["cstc2019jcyj-msxm1096"],"award-info":[{"award-number":["cstc2019jcyj-msxm1096"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3026110","type":"journal-article","created":{"date-parts":[[2020,9,23]],"date-time":"2020-09-23T20:35:33Z","timestamp":1600893333000},"page":"173918-173932","source":"Crossref","is-referenced-by-count":8,"title":["Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5293-9656","authenticated-orcid":false,"given":"Sichong","family":"Lu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7407-6126","authenticated-orcid":false,"given":"Ying","family":"Xia","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1179\/sre.1975.23.176.88"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-38452-7_1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/15472450903287781"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/0020294020918324"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s18113741"},{"key":"ref30","first-page":"3760","article-title":"Trajectory clustering and classification for characterization of air traffic flows","author":"murca","year":"2016","journal-title":"Proc AIAA Aviation Technol Integr Oper Conf"},{"key":"ref37","article-title":"Spatially encoding temporal correlations to classify temporal data using convolutional neural networks","author":"wang","year":"2015","journal-title":"arXiv 1509 07481"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105916"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2019.0017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102644"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2014.07.011"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/11853565_13"},{"key":"ref29","article-title":"Video trajectory classification and anomaly detection using hybrid CNN-VAE","author":"kumaran","year":"2018","journal-title":"arXiv 1812 07203"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2016EDL8252"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2483669.2483678"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367532"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409677"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref26","article-title":"A classification supervised auto-encoder based on predefined evenly-distributed class centroids","author":"zhu","year":"2019","journal-title":"arXiv 1902 00220"},{"key":"ref25","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","author":"xie","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526816"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858933"},{"key":"ref58","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.106861"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.45.3403"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.33.1134"},{"key":"ref53","first-page":"2229","article-title":"Evaluation: From precision, recall and f-measure to ROC, informedness, markedness and correlation","volume":"2","author":"powers","year":"2011","journal-title":"J Mach Learn Technol"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2890793"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463317000546"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/su10072327"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1142\/9789812833709_0030"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966366"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2866364"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.09.029"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2018.03.002"},{"key":"ref16","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"yu","year":"2017","journal-title":"arXiv 1709 04875"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0487-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CEWIT.2012.6606979"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14778\/1453856.1453972"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1658373.1658374"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1504\/IJES.2018.090569"},{"key":"ref6","article-title":"Transportation modes classification using feature engineering","author":"etemad","year":"2018","journal-title":"arXiv 1807 10876"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE.2017.8258799"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2012.06.001"},{"key":"ref49","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31750-2_5"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref45","first-page":"318","author":"rumelhart","year":"1986","journal-title":"Learning Internal Representations by Error Propagation"},{"key":"ref48","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Proces Syst"},{"key":"ref47","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1063\/1.166372"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.45.712"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2006.11.001"},{"key":"ref43","first-page":"366","article-title":"Detecting strange attractors in turbulence","author":"takens","year":"1981","journal-title":"Dynamical Systems and Turbulence Warwick"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09204708.pdf?arnumber=9204708","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:08Z","timestamp":1639770968000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9204708\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3026110","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}