{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T01:32:23Z","timestamp":1783647143419,"version":"3.55.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61771496"],"award-info":[{"award-number":["61771496"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61571195"],"award-info":[{"award-number":["61571195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61901208"],"award-info":[{"award-number":["61901208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2017YFB0502900"],"award-info":[{"award-number":["2017YFB0502900"]}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2016A030313254"],"award-info":[{"award-number":["2016A030313254"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2016A030313516"],"award-info":[{"award-number":["2016A030313516"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2017A030313382"],"award-info":[{"award-number":["2017A030313382"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi China","doi-asserted-by":"publisher","award":["20192BAB217003"],"award-info":[{"award-number":["20192BAB217003"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/tnnls.2020.2978760","type":"journal-article","created":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T22:03:24Z","timestamp":1585087404000},"page":"376-390","source":"Crossref","is-referenced-by-count":62,"title":["Naive Gabor Networks for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9172-3586","authenticated-orcid":false,"given":"Chenying","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1613-9448","authenticated-orcid":false,"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3801-7257","authenticated-orcid":false,"given":"Lin","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9613-1659","authenticated-orcid":false,"given":"Antonio","family":"Plaza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0585-9848","authenticated-orcid":false,"given":"Shutao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5980-4861","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2853620"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2764915"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2046494"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2005.848363"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1992.202090"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"2488","DOI":"10.1016\/j.procs.2017.05.157","article-title":"Gabor filter and texture based features for palmprint recognition","volume":"108","author":"younesi","year":"2017","journal-title":"Procedia Comput Sci"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CoDIT.2016.7593635"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1117\/12.2304587"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICISCE.2016.91"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IWAIT.2018.8369721"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2018.5063"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80010-3"},{"key":"ref12","first-page":"1","article-title":"Gradient descent learns one-hidden-layer CNN: Don’t be afraid of spurious local minima","author":"du","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn (ICML)"},{"key":"ref13","article-title":"Distribution-specific hardness of learning neural networks","author":"shamir","year":"2016","journal-title":"arXiv 1609 01037"},{"key":"ref14","first-page":"3404","article-title":"An analytical formula of population gradient for two-layered ReLU network and its applications in convergence and critical point analysis","author":"tian","year":"2017","journal-title":"Proc 5th Int Conf Learn Representations (ICLR)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2831792"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.758"},{"key":"ref17","first-page":"257","article-title":"Theory of communication","volume":"93","author":"gabor","year":"1946","journal-title":"J Inst Electr Eng"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1965.28.2.229"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1987.58.6.1233"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(02)00056-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref27","first-page":"751","article-title":"A review on texture, shape and color based classification of satellite images using glcm & Gabor filter, fuzzy c means and SVM","volume":"5","author":"arya","year":"2018","journal-title":"Int Res J Eng Technol"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2682846"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2017.8228031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2623742"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2829819"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2847309"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765364"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860125"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2907932"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1983.6313086"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5018-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451298"},{"key":"ref21","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":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769673"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2017.8009202"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref23","first-page":"1","article-title":"Handwritten digit recognition using convolutional neural networks and Gabor filters","author":"calderon","year":"2003","journal-title":"Proc Int Congr Comput Intell (CIIC)"},{"key":"ref44","article-title":"Logistic regression via variable splitting and augmented Lagrangian tools","author":"bioucas-dias","year":"2009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2835143"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616355"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-226"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9312808\/09046246.pdf?arnumber=9046246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:01Z","timestamp":1652194381000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9046246\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.2978760","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}