{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:54:05Z","timestamp":1773777245275,"version":"3.50.1"},"reference-count":39,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.2999211","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T21:34:11Z","timestamp":1591652051000},"page":"7166-7175","source":"Crossref","is-referenced-by-count":23,"title":["Constrained Design of Deep Iris Networks"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3466-9218","authenticated-orcid":false,"given":"Kien","family":"Nguyen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8515-6324","authenticated-orcid":false,"given":"Clinton","family":"Fookes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4316-9001","authenticated-orcid":false,"given":"Sridha","family":"Sridharan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref38","first-page":"1","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2712906"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.411"},{"key":"ref36","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_18"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532769"},{"key":"ref11","first-page":"1","article-title":"Deepirisnet2: Learning deep-IrisCodes from scratch for segmentation-robust visible wavelength and near infrared iris recognition","volume":"abs 1902 5390","author":"gangwar","year":"2019","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00171"},{"key":"ref13","first-page":"1","article-title":"Gradient-based optimization of neural network architecture","author":"grathwohl","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.89"},{"key":"ref16","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2033427"},{"key":"ref18","first-page":"1","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2019","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.09.016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref4","year":"2017","journal-title":"CASIA Iris Image Database"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6784-6_16"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/2200000050"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2007.903540"},{"key":"ref29","first-page":"2902","article-title":"Large-scale evolution of image classifiers","author":"real","year":"2017","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.818350"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2015.0071"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2500196"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-61657-5"},{"key":"ref9","first-page":"1","article-title":"Bilevel programming for hyperparameter optimization and meta-learning","author":"franceschi","year":"2018","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ifs.2009.0267"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2784352"},{"key":"ref21","first-page":"7816","article-title":"Neural architecture optimization","author":"luo","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.59"},{"key":"ref23","first-page":"1","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref26","first-page":"6747","article-title":"IRINA: Iris recognition (even) in inaccurately segmented data","author":"proenca","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.66"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09110777.pdf?arnumber=9110777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:38:57Z","timestamp":1651070337000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9110777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.2999211","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}