{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:11:43Z","timestamp":1730247103546,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9191156","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:45:18Z","timestamp":1601498718000},"page":"1546-1550","source":"Crossref","is-referenced-by-count":1,"title":["End-to-End Deep Kernel Map Design for Image Annotation"],"prefix":"10.1109","author":[{"given":"Mingyuan","family":"Jiu","sequence":"first","affiliation":[]},{"given":"Hichem","family":"Sahbi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/354384.376337"},{"key":"ref33","first-page":"1","article-title":"Deep learning using linear support vector machines","author":"tang","year":"2013","journal-title":"Workshop on Challenges in Representation Learning"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-015-0082-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.065"},{"key":"ref30","article-title":"Deep radial kernel networks: Approximating radially symmetric functions with deep networks","author":"mccane","year":"2017","journal-title":"CoRR 1703 03470"},{"journal-title":"Coarse-to-fine Support Vector Machines for Hierarchical Face Detection","year":"2003","author":"sahbi","key":"ref37"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.68"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","first-page":"1871","article-title":"Liblinear: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"JMLR"},{"key":"ref10","first-page":"909","article-title":"Two-layer multiple kernel learning","author":"zhuang","year":"2011","journal-title":"ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553510"},{"key":"ref11","first-page":"2627","article-title":"Convolutional kernel networks","author":"mairal","year":"2014","journal-title":"NIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2666038"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref14","article-title":"Overview of the imageclef 2013 scalable concept image annotation subtask","author":"villegas","year":"2013","journal-title":"CLEF 2013 Evaluation Labs and Workshop"},{"journal-title":"Statistical Learning Theory","year":"1998","author":"vapnik","key":"ref15"},{"key":"ref16","first-page":"682","article-title":"Using the nystr&#x00F6;m method to speed up kernel machines","author":"williams","year":"2001","journal-title":"NIPS"},{"key":"ref17","first-page":"1177","article-title":"Random features for large-scale kernel machines","volume":"20","author":"rahimi","year":"2007","journal-title":"NIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15986-2_27"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.153"},{"key":"ref28","first-page":"1399","article-title":"End-to-end kernel learning with supervised convolutional kernel networks","author":"mairal","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"journal-title":"Kernel methods and scale invariance using the triangular kernel","year":"2004","author":"sahbi","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-007-0247-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.05.010"},{"key":"ref5","article-title":"High order stochastic graphlet embedding for graph-based pattern recognition","volume":"1702","author":"dutta","year":"2017","journal-title":"ArXiv"},{"key":"ref8","first-page":"1889","article-title":"Deep learning with kernel regularization for visual recognition","author":"yu","year":"2008","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref7","first-page":"342","article-title":"Kernel methods for deep learning","volume":"28","author":"cho","year":"2009","journal-title":"NIPS"},{"article-title":"Scale-invariance of support vector machines based on the triangular kernel","year":"2002","author":"sahbi","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178151"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334079"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471941"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.12.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref23","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"60","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2020,10,25]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09191156.pdf?arnumber=9191156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:16:50Z","timestamp":1656375410000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9191156\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icip40778.2020.9191156","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}