{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:13:53Z","timestamp":1753600433491},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/icme46284.2020.9102713","type":"proceedings-article","created":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T21:40:07Z","timestamp":1591738807000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Learning Likelihood Estimates for Open Set Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Haiyang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Dixi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00151"},{"key":"ref12","first-page":"507","article-title":"Large-margin softmax loss for convolutional neural networks","author":"liu","year":"2016","journal-title":"ICML"},{"key":"ref13","first-page":"529","article-title":"Semi-supervised learning by entropy minimization","author":"grandvalet","year":"2005","journal-title":"NeurIPS"},{"key":"ref14","first-page":"213","article-title":"Adapting visual category models to new domains","author":"saenko","year":"2010","journal-title":"ECCV"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_26"},{"key":"ref16","first-page":"513","article-title":"A kernel method for the two-sample-problem","author":"gretton","year":"2007","journal-title":"NeurIPS"},{"key":"ref17","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"CVPR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_10"},{"key":"ref6","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","author":"hendrycks","year":"2017","journal-title":"ICLRE"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00950"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486594"},{"key":"ref7","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NeurIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00219"},{"key":"ref1","first-page":"754","article-title":"Open set domain adaptation","author":"busto","year":"2017","journal-title":"ICCV"},{"key":"ref9","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"ICML"}],"event":{"name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2020,7,6]]},"location":"London, United Kingdom","end":{"date-parts":[[2020,7,10]]}},"container-title":["2020 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9099125\/9102711\/09102713.pdf?arnumber=9102713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:15:28Z","timestamp":1656375328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9102713\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icme46284.2020.9102713","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}