{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:37:23Z","timestamp":1730198243202,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/apsipaasc47483.2019.9023037","type":"proceedings-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T12:03:54Z","timestamp":1583496234000},"page":"91-95","source":"Crossref","is-referenced-by-count":3,"title":["Small-Sample Image Classification Method of Combining Prototype and Margin Learning"],"prefix":"10.1109","author":[{"given":"Xiaoxu","family":"Li","sequence":"first","affiliation":[]},{"given":"Liyun","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Dongliang","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Zhanyu","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Nian","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"6065","article-title":"Early stopping for kernel boosting algorithms: A general analysis with localized complexities","author":"wei","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"2013","journal-title":"2013 International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015178"},{"key":"ref14","first-page":"24","article-title":"Boosted convolutional neural networks","author":"moghimi","year":"2016","journal-title":"BMVC"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/b12207"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/497"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2200299"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"journal-title":"Snapshot ensembles Train 1 get M for free","year":"2017","author":"huang","key":"ref19"},{"key":"ref4","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2403231"},{"key":"ref5","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":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/S0036144597321909"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.631"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.200"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.262"},{"journal-title":"Temporal ensembling for semi-supervised learning","year":"2016","author":"laine","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2005.09.012"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1023\/A:1011139631724","article-title":"Modeling the shape of the scene: A holistic representation of the spatial envelope","volume":"42","author":"oliva","year":"2001","journal-title":"International Journal of Computer Vision"}],"event":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2019,11,18]]},"location":"Lanzhou, China","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8989870\/9023008\/09023037.pdf?arnumber=9023037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:52:55Z","timestamp":1658080375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9023037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/apsipaasc47483.2019.9023037","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}