{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:13:08Z","timestamp":1730200388130,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622438","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"4906-4914","source":"Crossref","is-referenced-by-count":0,"title":["MCDD: Multi-class Distribution Model for Large Scale Classification"],"prefix":"10.1109","author":[{"given":"Mayanka","family":"Chandrashekar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yugyung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1866","article-title":"Splitnet: Learning to semantically split deep networks for parameter reduction and model parallelization","author":"kim","year":"2017","journal-title":"International Conference on Machine Learning"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/TIP.2015.2438548"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1016\/j.patcog.2013.07.016"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1016\/j.patcog.2012.10.029"},{"key":"ref31","first-page":"2072","article-title":"Discriminative learning of relaxed hierarchy for large-scale visual recognition","author":"gao","year":"2011","journal-title":"Computer Vision (ICCV) 2011 IEEE International Conference on"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/CVPR.2013.114"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/TIP.2015.2457337"},{"key":"ref36","first-page":"567","article-title":"Fast and balanced: Efficient label tree learning for large scale object recognition","author":"deng","year":"2011","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/TPAMI.2013.189"},{"key":"ref34","first-page":"479","article-title":"Constructing category hierarchies for visual recognition","author":"marsza?ek","year":"2008","journal-title":"European Conference on Computer Vision"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","article-title":"Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories","volume":"106","author":"fei-fei","year":"2007","journal-title":"Computer Vision and Image Understanding"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref11","article-title":"Cifar-10 and cifar-100 datasets","volume":"6","author":"krizhevsky","year":"2009"},{"key":"ref12","first-page":"86","article-title":"Taxonomy-regularized semantic deep convolutional neural networks","author":"goo","year":"2016","journal-title":"European Conference on Computer Vision"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2015.7299017"},{"key":"ref14","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"European Conference on Computer Vision"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/ICCV.2013.8"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/ICASSP.2016.7472093"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.24963\/ijcai.2017\/275"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/CVPR.2011.5995720"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1145\/1015330.1015374"},{"key":"ref28","first-page":"163","article-title":"Label embedding trees for large multi-class tasks","author":"bengio","year":"2010","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/ICCV.2015.314"},{"year":"2014","author":"simonyan","article-title":"Very deep convolutional networks for large-scale image recognition","key":"ref3"},{"key":"ref6","first-page":"12","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"2017","journal-title":"AAAI"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/CVPR.2008.4587410"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1080\/02664763.2018.1441383"},{"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","first-page":"546","article-title":"An empirical evaluation of bagging and boosting","volume":"1997","author":"maclin","year":"1997","journal-title":"AAAI\/IAAI"},{"year":"2016","author":"canziani","article-title":"An analysis of deep neural network models for practical applications","key":"ref1"},{"key":"ref20","first-page":"2411","article-title":"Bayesian models for large-scale hierarchical classification","author":"gopal","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"621","article-title":"Learning a tree of metrics with disjoint visual features","author":"grauman","year":"2011","journal-title":"Advances in neural information processing systems"},{"year":"2011","author":"zhou","article-title":"Hierarchical classification via orthogonal transfer","key":"ref21"},{"key":"ref42","first-page":"1597","article-title":"Using dependent regions for object categorization in a generative framework","volume":"2","author":"wang","year":"2006","journal-title":"Computer Vision and Pattern Recognition 2006 IEEE Computer Society Conference on"},{"key":"ref24","first-page":"31","article-title":"Incremental algorithms for hierarchical classification","volume":"7","author":"cesa-bianchi","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref41","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref23","first-page":"71","article-title":"What does classifying more than 10,000 image categories tell us?","author":"deng","year":"2010","journal-title":"European Conference on Computer Vision"},{"year":"2014","author":"warde-farley","article-title":"Self-informed neural network structure learning","key":"ref26"},{"key":"ref25","first-page":"1251","article-title":"Large-scale category structure aware image categorization","author":"zhao","year":"2011","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2018,12,10]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622438.pdf?arnumber=8622438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:14:33Z","timestamp":1643238873000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622438","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}