{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:20:47Z","timestamp":1763202047936,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007245","name":"C-SPIN, one of the six centers of StarNet, a Semiconductor Research Corporation Program through MARCO and DARPA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002418","name":"Intel Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Vannevar Bush Faculty Fellowship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/tcad.2017.2681075","type":"journal-article","created":{"date-parts":[[2017,3,11]],"date-time":"2017-03-11T02:23:40Z","timestamp":1489199020000},"page":"2017-2029","source":"Crossref","is-referenced-by-count":16,"title":["FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4167-6782","authenticated-orcid":false,"given":"Priyadarshini","family":"Panda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aayush","family":"Ankit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Parami","family":"Wijesinghe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushik","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2015","author":"karpathy","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref33","first-page":"322","article-title":"Fast image segmentation based on K-Means clustering with histograms in HSV color space","author":"chen","year":"2008","journal-title":"Proc IEEE 10th Workshop Multimedia Signal Process"},{"key":"ref32","first-page":"45","article-title":"Gabor filtering of complex hue\/saturation images for color texture classification","volume":"2","author":"palm","year":"2000","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00068-4"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1006\/cgip.1993.1019"},{"key":"ref37","article-title":"Convolutional deep belief networks on CIFAR-10","volume":"40","author":"krizhevsky","year":"2010","journal-title":"Unpublished manuscript"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2005.09.012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40246-3_55"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/11492429_41"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.04.045"},{"key":"ref40","article-title":"Wide residual networks","author":"zagoruyko","year":"2016","journal-title":"arXiv preprint arXiv 1605 01584"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.895972"},{"key":"ref12","first-page":"113","article-title":"Reducing multiclass to binary: A unifying approach for margin classifiers","volume":"1","author":"allwein","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315241"},{"key":"ref14","first-page":"163","article-title":"Label embedding trees for large multi-class tasks","author":"bengio","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","first-page":"567","article-title":"Fast and balanced: Efficient label tree learning for large scale object recognition","author":"deng","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","first-page":"51","article-title":"Conditional probability tree estimation analysis and algorithms","author":"beygelzimer","year":"2009","journal-title":"Proc 25th Conf Uncertainty Artif Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_63"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409064"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2905009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2013.6629282"},{"key":"ref4","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/nl904092h"},{"key":"ref3","first-page":"5","article-title":"Reading digits in natural images with unsupervised feature learning","volume":"2011","author":"netzer","year":"2011","journal-title":"Proc NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2009.01.047"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5121\/sipij.2012.3104"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2627369.2627625"},{"key":"ref8","first-page":"1915","article-title":"Ensemble deep learning for speech recognition","author":"deng","year":"2014","journal-title":"Proc INTERSPEECH"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1146\/annurev.neuro.23.1.315","article-title":"Mechanisms of visual attention in the human cortex","volume":"23","author":"kastner","year":"2000","journal-title":"Annu Rev Neurosci"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/505146a"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.446"},{"key":"ref1","first-page":"1","article-title":"Recognition, mining and synthesis moves computers to the era of tera","volume":"9","author":"dubey","year":"2005","journal-title":"Technol Intel Mag"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2627369.2627613"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3007192"},{"key":"ref21","article-title":"Object detection using semantic decomposition for energy-efficient neural computing","author":"panda","year":"2015","journal-title":"arXiv preprint arXiv 1509 08970"},{"article-title":"Torch: A modular machine learning software library","year":"2002","author":"collobert","key":"ref42"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2016.7418007"},{"key":"ref41","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1816038.1815993"},{"key":"ref44","first-page":"2072","article-title":"Discriminative learning of relaxed hierarchy for large-scale visual recognition","author":"gao","year":"2011","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2012.2227969"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.313037"},{"key":"ref25","first-page":"265","article-title":"On optimization methods for deep learning","author":"ngiam","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/ielaam\/43\/8114692\/7875411-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/43\/8114692\/07875411.pdf?arnumber=7875411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:47:49Z","timestamp":1649443669000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7875411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":44,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2017.2681075","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"type":"print","value":"0278-0070"},{"type":"electronic","value":"1937-4151"}],"subject":[],"published":{"date-parts":[[2017,12]]}}}