{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:11:53Z","timestamp":1740175913327,"version":"3.37.3"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["267581"],"award-info":[{"award-number":["267581"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"name":"D2I SHOK project"},{"name":"Digile Oy"},{"name":"Nokia Technologies"},{"name":"Tampere"},{"name":"Finland"},{"name":"CSC-IT Center for Science"},{"name":"Finland for generous computational resources"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2017,3,1]]},"DOI":"10.1109\/tbdata.2016.2602231","type":"journal-article","created":{"date-parts":[[2016,8,25]],"date-time":"2016-08-25T14:20:14Z","timestamp":1472134814000},"page":"37-43","source":"Crossref","is-referenced-by-count":5,"title":["Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment"],"prefix":"10.1109","volume":"3","author":[{"given":"Ke","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoxiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.47"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.799"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2009.06.042"},{"article-title":"Efficient estimation of word representations in vector space","year":"2013","author":"mikolov","key":"ref31"},{"key":"ref30","first-page":"584","article-title":"Transductive multi-view embedding for zero-shot recognition and annotation","author":"fu","year":"2014","journal-title":"Proc 13th Eur Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref36","first-page":"1095","article-title":"One-sided support vector regression for multiclass cost-sensitive classification","author":"tu","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref35","first-page":"1894","article-title":"On the theory of learnining with privileged information","author":"pechyony","year":"2010","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.02.002"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.215"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref61","article-title":"Return of the devil in the details: Delving deep into convolutional nets","author":"chatfield","year":"2014","journal-title":"Proc British Mach Vis Conf"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref63"},{"key":"ref28","first-page":"48","article-title":"Large-scale object classification using label relation graphs","author":"deng","year":"2014","journal-title":"Proc 13th Eur Conf Comput Vis"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_18"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.212"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248092"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.96"},{"key":"ref20","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neur Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.258"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.257"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref26","first-page":"1727","article-title":"Semantic kernel forests from multiple taxonomies","author":"hwang","year":"2012","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587503"},{"key":"ref50","first-page":"520","article-title":"Soft modeling by latent variables: The nonlinear iterative partial least squares approach","author":"wold","year":"1975","journal-title":"Perspectives in Probability and Statistics Papers in Honour of M S Bartlett"},{"key":"ref51","first-page":"97","article-title":"Kernel partial least squares regression in reproducing kernel Hilbert space","volume":"2","author":"rosipal","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/2671188.2749289","article-title":"Image classification and retrieval are ONE","author":"xie","year":"2015","journal-title":"Proc 5th ACM Int Conf Multimedia Retrieval"},{"key":"ref58","article-title":"The Caltech-UCSD birds-200–2011 dataset","author":"wah","year":"2011","journal-title":"Tech Rep CNS-TR-2011-001"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014056"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2010.00358.x"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4929-3_5"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.21"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.319"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.236"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298911"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0741-5"},{"key":"ref12","first-page":"3474","article-title":"Discovering localized attributes for fine-grained recognition","author":"duan","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995368"},{"key":"ref14","first-page":"3466","article-title":"A codebook-free and annotation-free approach for fine-grained image categorization","author":"yao","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref15","first-page":"3131","article-title":"Unsupervised template learning for fine-grained object recognition","author":"yang","year":"2012","journal-title":"Proc Adv Neur Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.128"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299194"},{"key":"ref19","article-title":"Bird species categorization using pose normalized deep convolutional nets","author":"branson","year":"2014","journal-title":"Proc British Mach Vis Conf"},{"key":"ref4","first-page":"438","article-title":"Visual recognition with humans in the loop","author":"branson","year":"2010","journal-title":"Proc 11th Eur Conf Comput Vis"},{"key":"ref3","first-page":"172","article-title":"Dog breed classification using part localization","author":"liu","year":"2012","journal-title":"Proc 12th Eur Conf Comput Vis"},{"key":"ref6","article-title":"Novel dataset for fine-grained image categorization","author":"khosla","year":"2011","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit Workshop Fine-Grained Visual Categorization"},{"key":"ref5","first-page":"2579","article-title":"BiCoS: a bi-level co-segmentation method for image classification","author":"chai","year":"2011","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref8","first-page":"1","article-title":"Visual categorization with bags of keypoints","author":"csurka","year":"2004","journal-title":"Proc Eur Conf Comput Vis Workshop Statistical Learn Comput Vis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(93)85002-X"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247979"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(86)80028-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995404"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-8483-7_14"},{"key":"ref42","first-page":"1","article-title":"Privileged information-based conditional regression forest for facial feature detection","author":"yang","year":"2013","journal-title":"Proc IEEE Int Conf Automat Face Gesture Recog"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.206"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref43","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Advances Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/7865879\/07552556.pdf?arnumber=7552556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:39:29Z","timestamp":1641987569000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7552556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,1]]},"references-count":63,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2016.2602231","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"type":"electronic","value":"2332-7790"},{"type":"electronic","value":"2372-2096"}],"subject":[],"published":{"date-parts":[[2017,3,1]]}}}