{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T04:29:05Z","timestamp":1730262545004,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/ieeeconf44664.2019.9048686","type":"proceedings-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T05:10:33Z","timestamp":1585631433000},"page":"942-946","source":"Crossref","is-referenced-by-count":1,"title":["Rank-Regularized Measurement Operators for Compressive Imaging"],"prefix":"10.1109","author":[{"given":"Suhas","family":"Lohit","sequence":"first","affiliation":[]},{"given":"Rajhans","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Kuldeep","family":"Kulkarni","sequence":"additional","affiliation":[]},{"given":"Pavan","family":"Turaga","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"339","article-title":"Multi-task feature learning via efficient ?2,1norm minimization","author":"liu","year":"2009","journal-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence"},{"article-title":"Multi-task feature selection","year":"2006","author":"obozinski","key":"ref38"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref32","article-title":"Matrix rank minimization with applications","author":"fazel","year":"2002","journal-title":"Ph D Dissertation"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"article-title":"Deepbinarymask: Learning a binary mask for video compressive sensing","year":"2016","author":"iliadis","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0024-3795(92)90407-2"},{"article-title":"Trace norm regularised deep multi-task learning","year":"2016","author":"yang","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2452228"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"article-title":"Compressed learning: Universal sparse dimensionality reduction and learning in the measurement domain","year":"2009","author":"calderbank","key":"ref10"},{"key":"ref40","first-page":"1813","article-title":"Efficient and robust feature selection via joint ?2,1-norm minimization","author":"nie","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref11","first-page":"142","article-title":"The smashed filter for compressive classification and target recognition","volume":"6498","author":"davenport","year":"2007","journal-title":"Computat Image V"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532691"},{"key":"ref13","article-title":"Compressed learning: A deep neural network approach","author":"adler","year":"2017","journal-title":"Signal Processing with Adaptive Sparse Structured Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2008.07.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2146090"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-013-9576-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2040894"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2329449"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2556683"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301371"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.862083"},{"article-title":"DR2-net: Deep residual reconstruction network for image compressive sensing","year":"2017","author":"yao","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025439"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447163"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.09.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2846413"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.55"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2012.2214851"},{"article-title":"A deep learning approach to block-based compressed sensing of images","year":"2016","author":"adler","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.312577"},{"key":"ref20","first-page":"399","article-title":"Learning fast approximations of sparse coding","author":"gregor","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2016.7905837"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2548245"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.627"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref23","article-title":"Learned D-AMP: A principled CNN-based compressive image recovery algorithm","author":"metzler","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref26","article-title":"Reconstruction-free action inference from compressive imagers","volume":"pp","author":"kulkarni","year":"2015","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"}],"event":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2019,11,3]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2019,11,6]]}},"container-title":["2019 53rd Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9034466\/9048648\/09048686.pdf?arnumber=9048686","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:54:32Z","timestamp":1658094872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9048686\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf44664.2019.9048686","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}