{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:08:25Z","timestamp":1775146105813,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/100005156","name":"Alexander von Humboldt Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005156","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61303151"],"award-info":[{"award-number":["61303151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100001641","name":"GRF","doi-asserted-by":"publisher","award":["16211615"],"award-info":[{"award-number":["16211615"]}],"id":[{"id":"10.13039\/100001641","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/tmm.2016.2598140","type":"journal-article","created":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T18:06:32Z","timestamp":1470247592000},"page":"2407-2416","source":"Crossref","is-referenced-by-count":113,"title":["Deep Learning for Surface Material Classification Using Haptic and Visual Information"],"prefix":"10.1109","volume":"18","author":[{"given":"Haitian","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Lu","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Mengqi","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Matti","family":"Strese","sequence":"additional","affiliation":[]},{"given":"Yigitcan","family":"Ozer","sequence":"additional","affiliation":[]},{"given":"Eckehard","family":"Steinbach","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854953"},{"key":"ref38","article-title":"Music genre\n classification using convolutional neural network","author":"kong","year":"0","journal-title":"Proc Int Symp Music Inform Retriev (ISMIR)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288864"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2483370"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477040"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2478068"},{"key":"ref36","first-page":"3366","article-title":"Exploring\n convolutional neural network structures and optimization techniques for speech recognition","author":"abdel-hamid","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref35","first-page":"172","article-title":"Convolutional neural networks for distant speech recognition","author":"swietojanski","year":"2014","journal-title":"Proc Joint Workshop Hands-Free Speech Commun Microphone Arrays"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14075-4_12"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref11","first-page":"1","article-title":"Preprocessing-free surface material classification using convolutional neural\n networks pretrained by sparse autoencoder (ACNN)","author":"ji","year":"2015","journal-title":"Proc Mach Learn Signal Process"},{"key":"ref12","first-page":"214","article-title":"Surface\n classification using acceleration signals recorded during human free hand movement","author":"strese","year":"2015","journal-title":"Proc IEEE World Haptics Conf"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/HAPTICS.2014.6775432"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2012.00004"},{"key":"ref15","article-title":"Deep learning for tactile understanding\n from visual and haptic data","author":"gao","year":"2015","journal-title":"CoRR"},{"key":"ref16","first-page":"1097","article-title":"ImageNet\n classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref18","article-title":"Going deeper with convolutions","author":"szegedy","year":"2014","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2683405.2683414"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.08.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.145"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2003.1211534"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.07.071"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5566\/ias.v23.p63-72"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WHC.2013.6548424"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HAVE.2014.6954342"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2476660"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TOH.2011.38"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2476655"},{"key":"ref46","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with\n region proposal networks","author":"ren","year":"2015","journal-title":"Proc Conf Adv Neural Inf Process Syst"},{"key":"ref20","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2006.343944"},{"key":"ref21","first-page":"351","article-title":"Dropout\n training as adaptive regularization","author":"wager","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24673-2_21"},{"key":"ref41","article-title":"DeCAF: A deep convolutional activation feature\n for generic visual recognition","author":"donahue","year":"2013","journal-title":"CoRR"},{"key":"ref23","article-title":"Kylberg Texture Dataset v. 1.0","volume":"35","author":"kylberg","year":"2011","journal-title":"Centre for Image Analysis"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"CoRR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299007"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref25","article-title":"An analysis of deep neural networks for texture classification","author":"hafemann","year":"2014"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/7744637\/07530831.pdf?arnumber=7530831","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:13:28Z","timestamp":1642004008000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7530831\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":46,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2016.2598140","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12]]}}}