{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T22:33:22Z","timestamp":1729636402649,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/icmew.2016.7574664","type":"proceedings-article","created":{"date-parts":[[2016,9,26]],"date-time":"2016-09-26T22:06:31Z","timestamp":1474927591000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Ensemble deep neural networks for domain-specific Image Recognition"],"prefix":"10.1109","author":[{"family":"Wenbo Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Chuan Ke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Computer Vision and Pattern Recognition 2009 CVPR 2009 IEEE Conference on"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_13"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref6","article-title":"Novel datasets for fine-grained image categorization","author":"dataset","year":"2011","journal-title":"First Workshop on Fine Grained Visual Categorization CVPR Citeseer Citeseer"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref5","article-title":"The unreasonable effectiveness of noisy data for fine-grained recognition","author":"krause","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref8","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":"ref7","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.neunet.2012.02.023","article-title":"Multi-column deep neural network for traffic sign classification","volume":"32","author":"dan","year":"2012","journal-title":"Neural Networks"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref9","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 01032"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1007\/978-3-319-10590-1_54","article-title":"Part-based r-cnns for fine-grained category de-tection","author":"zhang","year":"2014","journal-title":"Computer Vision-ECCV 2014"}],"event":{"name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","start":{"date-parts":[[2016,7,11]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2016,7,15]]}},"container-title":["2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7569794\/7574653\/07574664.pdf?arnumber=7574664","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T01:06:17Z","timestamp":1568423177000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7574664\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/icmew.2016.7574664","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}