{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:08:16Z","timestamp":1730282896554,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1109\/mlsp.2016.7738850","type":"proceedings-article","created":{"date-parts":[[2016,11,10]],"date-time":"2016-11-10T21:40:41Z","timestamp":1478814041000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing"],"prefix":"10.1109","author":[{"given":"M.","family":"Saleh","sequence":"first","affiliation":[]},{"given":"A.","family":"Karfoul","sequence":"additional","affiliation":[]},{"given":"L.","family":"Albera","sequence":"additional","affiliation":[]},{"given":"A.","family":"Kachenoura","sequence":"additional","affiliation":[]},{"given":"H.","family":"Becker","sequence":"additional","affiliation":[]},{"given":"I.","family":"Merlet","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.08.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/58253"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.07.044"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4959592"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.05.062"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-139"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/06065577"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/0898-1221(76)90003-1"},{"key":"ref18","first-page":"41","article-title":"Sur l'approximation, par &#x00E9;l&#x00E9;ments finis d'ordre un, et la resolution, par p&#x00E9;nalisation-dualit&#x00E9;, d'une classe de problemes de Dirichlet non lin&#x00E9;aires","volume":"9","author":"glowinski","year":"1975","journal-title":"Revue Fran&#x00E7;aise d'Automatique Informatique et Recherche Op&#x00E9;rationelle"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.03.043"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.07.044"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm210"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7320002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2011.10.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/0301-0511(88)90020-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2015.7383766"},{"key":"ref2","first-page":"41","article-title":"Fast, variation-based methods for the analysis of extended brain sources","author":"becker","year":"2014","journal-title":"EUSIPCO 14 XXII European Signal Processing Conference"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854729"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.03.039"},{"key":"ref20","article-title":"Standardized low resolution brain electromagnetic tomography (sLORETA): technical details","author":"pascual-marqui","year":"2002","journal-title":"Methods and Findings in Experimental and Clinical Pharmacology"},{"journal-title":"Mapping timing and tracking cortical activations with MEG and EEG Methods and application to human vision","year":"2009","author":"gramfort","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0701-9"},{"key":"ref23","article-title":"On the linear convergence of the alternating direction method of multipliers","author":"hong","year":"2013","journal-title":"ArXiv e-prints"}],"event":{"name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2016,9,13]]},"location":"Vietri sul Mare, Salerno, Italy","end":{"date-parts":[[2016,9,16]]}},"container-title":["2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7605057\/7738802\/07738850.pdf?arnumber=7738850","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,11,30]],"date-time":"2016-11-30T12:11:16Z","timestamp":1480507876000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7738850\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2016.7738850","relation":{},"subject":[],"published":{"date-parts":[[2016,9]]}}}