{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期部分”:[[2024,1,25]],“日期时间”:“2024-01-25T00:04:57Z”,“时间戳”:1706141097458},“引用计数”:48,“发布者”:“SPIE-Intl Soc Optical Eng”,“问题”:“06”,“内容域”:{-“域”:[],“交叉标记限制”:false},”short集装箱运输”:[“J。电子。图像。“],”published-print“:{”date-parts“:[[2018,12,19]]},”DOI“:”10.1117\/1.jei.27.6.063027“,”type“:”journal-article“,”created“:{”date-parts“:[2018,12,19],”date-time“:”2018-12-19T15:14:41Z“,”timestamp“:1545232481000},“page”:“1”,“source”:”Crossref“,”is-referenced-by-count“:0,”title“:[”改进的分类方法,用于Hadoop集群环境中的大规模场景图像“],”前缀“:”10.1117“,”卷“:”27“,”作者“:[{”给定“:”建房“,”家庭“:”曹“,“序列”:“第一”,“隶属关系”:[{“名称”:“忻州师范大学计算机科学与技术系,忻州”}]},{“给定”:“燕飞”,“家庭”:“李”,“序列:“附加”,“隶属关系”:[{“名称”:“太原科技大学计算机科学与技术学院,太原”}]},{“给定”:“严”,“家族”:“王”,“序列”:“附加”,“隶属关系”:[{“名称”:“新州师范大学计算机科学与技术系,新州”}]},{“给定”:“红岩”,“家族”:“崔”sequence“:”additional“,”affiliation“:[{”name“:”太原科技大学计算机科学与技术学院“}]},{”given“:”Yun“,”family“:”Tian“,”sequence”:“additional”,“affiliation:”[{“name”:“忻州师范大学计算机科学技术系,忻州”}]],“member”:“189”,“reference”:key“:”r1“,”doi-asserted-by“:”publisher“,”doi“:”10.1016\/j.ins.2015.08.030“},{“key”:“r2”,“doi-assert-by”:“publisher”,“doi”:“10.1016\/j.patcog.2015.02.003”},}“key”:”r3“,”doi-asserted-by“”:“publisher”,“doi”:doi-asserted-by“:”publisher“,”doi“:”10.1080\/0143116.2018.1430403“},{”key“:”r5“,”doi-asserted-by“:”publisher“,”doi“:”10.1016\/j.ijar.2015.05.002“},{“key”:“r6”,“doi-assert-by”:“publisher”,“doi”:“10.3724\/SP.j.1087.2011.00501”},“key“:”r7“,”doi-assered-by“:”publisher“,”doi“::“10.1111\/mices.2012.27.issue-4”},{“key”:“r9”,“first page”:”1942“,“article-title”:“粒子群优化,“author”:“Kennedy”,“year”:“1995”},{“key”:“r10”,“article-title”:“基于蜜蜂群的数值优化思想”,“auther”:“Karaboga”,“年份”:“2005”}10.1016\/j.epsr.2011.05.015“},{“key”:“r13”,“author”:“White”,“year”:“2012”},}“key:”r14“,”doi-asserted-by“:”publisher“,”doi“:”10.1023\/B:VISI.0002964.99615.94 6“,”doi-asserted-by“:”publisher“,”doi“:”10.1016\/j.ijar.2013.06.003“},{”key“:”r17“,”doi-asserted-by“:”publisher“,”doi“:”10.1109\/TWC.2012.060412.110460“},{“key”:“r18”,“doi-assert-by”:“publisher”,“doi”:“10.1016\/j.eswa.2011.11.126”},“key“:”r19“,”doi-asseted-by“:”publisher“,”doi“:“10.1080\/18756891.2013.816162”}“,”doi“:”10.1049\/el.2015.0436“},{”key“:”r21“,”doi-asserted-by“:”publisher“,”DOI“:”10.1016\/j.cageo.2013.03.024“},{“key”:“r22”,“DOI-asserted-by”:“publisher”,“DOI”:“10.1038\/srep38201”},}“key”:”r23“,”DOI-assert-by“:”publisher“,”DOI“:”10.3778\/j.issn.1673-9418.1503036“}j.inffus.2017.10.006“},{“key”:“r25”,“DOI-asserted-by”:“publisher”,“DOI”:“10.1162\/neco.2006.18.7.1527“},{“key”:“r26”,“首页”:“1097”,“article-title”:“深度卷积神经网络的Imagenet分类”,“author”:“Krizhevsky”,“year”:“2012”},}“key:”r27“,”doi-asserted-by“:”publisher“,”doi“:”10.1016\/j.neucom.2015.09.116“}I“:”10.1145\/1327452“},{“键”:“r29”,“doi-asserted-by“:”publisher“,”doi“:”10.1145\/2503009“},{“key”:“r30”,“doi-assert-by”:“publisher”,“doi”:“10.1016\/j.camwa.2011.07.046”},“key“:”r31“,”doi-assetd-by“:”publisher“,”doi“:10.1016\/j.ins.2014.04.019“},{“key”:“r33”,“doi-asserted-by”:“publisher”,“doi”:“10.1186\/1756-0381-7-22“},{“键”:“r34”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TITS.2012.2205144”},}“键“:”r35“,”doi-assert-by“:”publisher“,”doi“:”10.1007\/s10766-016-0401-1“:”10.3390\/e19010006“},{”key“:”r38“,”doi-asserted-by“:”publisher“,”doi“:”10.1109 \/JSEN.2016.2532218“},{“key”:“r39”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.ijepes.2011.12.007”},}“密钥”:“r 40”,“doi-asserte-by”:“publisher”,“多巴哥”:“101155\/2016\/3593975”}“},{”key“:”r42“,”article-title“:”Caltech-256对象类别数据集“,”author“:”Griffin“,”year“:”2007“},{“key”:“r43”,“article-title”:“The PASCAL visual object classes challenge 2012(VOC 2012)results”,“author”:“Everingham”},“key“:”r44“,”doi-asserted-by“:”publisher“,“doi”:“10.1109\/TEVC.2017.2657556”}},{“key”:“r46”,“doi-asserted-by”:“publisher”,“DOI“:”10.2166\/hydro.2013.134“},{“key”:“r47”,“DOI-asserted-by”:“publisher”,“DOI”:“10.1016\/j.is.2016.02.007”},“key“:”r48“,”DOI-assert-by“:”publisher“,”DOI“:”10.1162\/neco.2006.18.7.1527“}],“container-title”:[“Journal of Electronic Imaging”],“original title”:[],“link”:[{“URL”:“https:\/\/www.spedigitallibrary.org\/journalArticle\/下载?urlId=10.1117%2F1.JEI.27.6063027“,”content-type“:”unspecified“,”content-version“:”vor“,”intended-application“:”similarity-checking“}],”deposed“:{”date-parts“:[[2024,1,24]],”date-time“:“2024-01-24T22:12:00Z”,”timestamp“:170613432000},”score“:1,”resource“:”{“primary”:{“URL”:“https:\/\/www.spiedigitallibrary.org\/journal-of-electronic-imaging\/volume-27\/issue-06\/063027\/Improvedd-classification-approach-for-use-with-large-scale-scene-images\/10.117\/1.JEI.27.63027.full“}},”subtittle“:[],”shorttitle“:[[],”issued“:{”date-parts“:[[2018,12,19]]},“references-count”:48,“journal-issue”:{“issue”:“06”},“URL”:“http:\/\/dx.doi.org\/10.1117\/1.jei.27.6.063027“,”关系“:{},”ISSN“:[”1017-9909“],”ISSN-type“:[{”值“:”1017-9009“,”类型“:”打印“}],”主题“:[],”发布“:{”日期部分“:[2018,12,19]}}}}