{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T21:52:46Z","timestamp":1730238766926,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/icdew.2018.00035","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T22:02:25Z","timestamp":1530828145000},"page":"169-174","source":"Crossref","is-referenced-by-count":2,"title":["Images and Recipes: Retrieval in the Cooking Context"],"prefix":"10.1109","author":[{"given":"Micael","family":"Carvalho","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Remi","family":"Cadene","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Picard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laure","family":"Soulier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthieu","family":"Cord","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"584","author":"farinella","year":"2015","journal-title":"A Benchmark Dataset to Study the Representation of Food Images"},{"key":"ref11","article-title":"Food-101 ? mining discriminative components with random forests","author":"bossard","year":"2014","journal-title":"ECCV"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2015.117"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref13"},{"key":"ref14","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref16","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"weinberger","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref17","article-title":"Unifying visual-semantic embeddings with multimodal neural language models","author":"kiros","year":"2015","journal-title":"TACL"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"journal-title":"Deep residual learning for image recognition","year":"2015","author":"he","key":"ref19"},{"key":"ref4","first-page":"1","article-title":"Recipe recognition with large multimodal food dataset","author":"wang","year":"2015","journal-title":"In ICME"},{"key":"ref3","first-page":"32","author":"chen","year":"2016","journal-title":"Deep-based ingredient recognition for cooking recipe retrieval"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.327"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133137"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5413511"},{"journal-title":"Proceedings of the 9th workshop on Multimedia for Cooking and Eating Activities in Conjunction with The 2017 International Joint Conference on Artificial Intelligence","year":"2017","key":"ref7"},{"key":"ref2","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/00437956.1954.11659520"},{"key":"ref9","article-title":"Foodcam: A real-time mobile food recognition system employing fisher vector","author":"kawano","year":"2014","journal-title":"MMM"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/2333955"},{"key":"ref21","article-title":"Skip-thought vectors","author":"kiros","year":"2015","journal-title":"NIPS"}],"event":{"name":"2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)","start":{"date-parts":[[2018,4,16]]},"location":"Paris","end":{"date-parts":[[2018,4,20]]}},"container-title":["2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8401307\/8402003\/08402038.pdf?arnumber=8402038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T16:45:21Z","timestamp":1643215521000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8402038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icdew.2018.00035","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}