{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T06:46:25Z","timestamp":1749105985030,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852022","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":14,"title":["Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression"],"prefix":"10.1109","author":[{"given":"Jingtao","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"En","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinwang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967279"},{"article-title":"Detecting abnormal events in video using narrowed motion clusters","year":"2018","author":"ionescu","key":"ref33"},{"key":"ref32","first-page":"351","article-title":"Convergence of alternating opti-mization","volume":"11","author":"bezdek","year":"2003","journal-title":"Neural Parallel & Scientific Computations"},{"key":"ref31","first-page":"682","article-title":"Using the nystr&#x00F6;m method to speed up kernel machines","author":"williams","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","author":"scholkopf","year":"2001","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2011.09.009"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70825"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.45"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900159"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2008.4634317"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995434"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206569"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.5244\/C.29.8","article-title":"Learning deep representations of appearance and motion for anomalous event detection","author":"xu","year":"2015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.139"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206641"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296547"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref4","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning"},{"article-title":"Future frame prediction for anomaly detection&#x2013;a new baseline","year":"2017","author":"liu","key":"ref27"},{"key":"ref3","first-page":"806","article-title":"C-nn features off-the-shelf: an astounding baseline for recognition","author":"sharif razavian","year":"2014","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref6","first-page":"487","article-title":"Learning deep features for scene recognition using places database","author":"zhou","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref29","article-title":"Outlier detection: A survey","author":"chandola","year":"2007","journal-title":"ACM Computing Surveys"},{"key":"ref5","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.49"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.10.022"},{"key":"ref2","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/6979.880968"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6515-6"},{"key":"ref21","first-page":"2895","article-title":"Unmasking the abnormal events in video","author":"tudor ionescu","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.86"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TPAMI.2013.111","article-title":"Anomaly detection and localization in crowded scenes","volume":"36","author":"li","year":"2014","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.45"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123451"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852022.pdf?arnumber=8852022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T08:55:58Z","timestamp":1721811358000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852022","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}