{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T09:36:40Z","timestamp":1773049000435,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/wacv.2017.83","type":"proceedings-article","created":{"date-parts":[[2017,5,15]],"date-time":"2017-05-15T16:33:43Z","timestamp":1494866023000},"page":"697-704","source":"Crossref","is-referenced-by-count":31,"title":["X-Ray Scattering Image Classification Using Deep Learning"],"prefix":"10.1109","author":[{"given":"Boyu","family":"Wang","sequence":"first","affiliation":[]},{"given":"Kevin","family":"Yager","sequence":"additional","affiliation":[]},{"given":"Dantong","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Minh","family":"Hoai","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011126920638"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"ref15","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1107\/S160057671302832X"},{"key":"ref4","author":"he","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref3","article-title":"X-ray diffraction in crystals, imperfect crystals, and amorphous bodies","author":"guinier","year":"1994","journal-title":"Courier Corporation"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836004"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref7","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref2","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"}],"event":{"name":"2017 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Santa Rosa, CA, USA","start":{"date-parts":[[2017,3,24]]},"end":{"date-parts":[[2017,3,31]]}},"container-title":["2017 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7925475\/7926583\/07926666.pdf?arnumber=7926666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T13:36:55Z","timestamp":1569332215000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7926666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/wacv.2017.83","relation":{},"subject":[],"published":{"date-parts":[[2017,3]]}}}