{“id”:“https://openalex.org/W2902113407“,”doi“:”https://doi.org/10.109/icpr.2018.8546239“,”title“:“通过平行坐标下降法进行在线低秩度量学习”,”display_name“:”通过平行坐标降阶法进行在线高秩度量研究“,”publication_year“:2018,”publiation_date“:”2018-08-01“,”ids“:{”openalex“:”https://openalex.org/W2902113407“,”doi“:”https://doi.org/10.109/icpr.2018.8546239“,”mag“:”2902113407“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/icpr.2018.8546239“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5031333887“,”display_name“:”Gan Sun“,”orcid“:”https://orcid.org/0000-0003-1111-6909},“机构”:[{“id”:https://openalex.org/I4210165038“,”display_name“:”中科院大学“,”ror“:”https://ror.org/05qbk4x57“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I19820366","https://openalex.org/I4210165038“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Gan Sun“,”raw _ afiliation_strings“:[“中国科学院大学”],”affiliations“:[{”raw_ afiliation _string“:”中国科学院大学“,”institution_ids“:]”https://openalex.org/I4210165038“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5006477225“,”display_name“:”杨聪“,”兽人“:”https://orcid.org/0000-0002-5102-0189},“机构”:[{“id”:https://openalex.org/I19820366“,”display_name“:”中国科学院“,”ror“:”https://ror.org/034t30j35“,”country_code“:”CN“,”type“:“政府”,”世系“:[”https://openalex.org/I19820366“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”杨聪“,”raw _ afiliation_strings“:[“中国科学院机器人国家重点实验室”],”affiliations“:[{”raw_ afiliation _string“:”中国科学院机械国家重点实验室“,”institution_ids“:[https://openalex.org/I19820366“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5030863883“,”display_name“:”Qiang Wang“,”orcid“:”https://orcid.org/0000-0001-9162-481X},“机构”:[{“id”:https://openalex.org/I4210165038“,”display_name“:”中科院大学“,”ror“:”https://ror.org/05qbk4x57“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I19820366","https://openalex.org/I4210165038“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Qiang Wang“,”raw _ afiliation_strings“:[“中国科学院大学”],”affiliations“:[{”raw_ afiliation _string“:”中国科学院大学“,”institution_ids“:[https://openalex.org/I4210165038“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5086347026“,”display_name“:”Xiaowei Xu“,”orcid“:”https://orcid.org/0000-0002-9033-7381},“机构”:[{“id”:https://openalex.org/I102401767“,”display_name“:”小石城阿肯色大学“,”ror“:”https://ror.org/04fttyv97“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I102401767“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Xiaowei Xu“,”raw _ afiliation_strings“:[“美国小石城阿肯色大学信息科学系”],”affiliations“:[{”raw_ afiliation _string“:”美国小石山阿肯色州立大学信息科学部”,“institution_ids”:[“https://openalex.org/I102401767“]}]}],”countries_distinct_count“:2,”institutions_disting_count”:3,”corresponding_author_ids“:[],”corresponding_institution_ids”:[]、“apc_list”:null,”apc_payd“:null、”has_fulltext“:true、”fulltext_origin“:”ngrams“,”cited_by_count:3,“cited_by_percentile_year”:{“min”:78,”max“:80},”biblio“:{”volume“:nul”,“issue”:null,“first_page”:null,“last_page”:null},“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T10057“,”“display_name”:“人脸识别和降维技术”,“score”:0.9988,“subfield”:{“id”:“https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10057“,”“display_name”:“人脸识别和降维技术”,“score”:0.9988,“subfield”:{“id”:“https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.9941,”subfield“:{”id“:”https://openalex.org/subfields/2206“,”display_name“:”计算力学“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T12676“,”display_name“:”极限学习机器的理论与应用“,”score“:0.9929,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/online-sequential-learning网站“,”display_name“:”在线顺序学习“,”score“:0.581695},{”id“:”https://openalex.org/keywords/dimmensionality缩减“,”display_name“:”维度缩减“,”score“:0.566423},{”id“:”https://openalex.org/keywords/incremental-learning(https://openalex.org/keywords/incremental-learning)“,”display_name“:”增量学习“,”score“:0.545927},{”id“:”https://openalex.org/keywords/dictionary-learning网站“,”display_name“:”字典学习“,”score“:0.545107},{”id“:”https://openalex.org/keywords/orthonal-matching-presture“,”display_name“:”正交匹配追踪“,”score“:0.544576}],”concepts“:[{”id“:”https://openalex.org/C157553263,“wikidata”:https://www.wikidata.org/wiki/Q5168004“,”display_name“:”坐标下降“,”level“:2,”score“:0.77892333},{”id“:”https://openalex.org/C176217482,“wikidata”:https://www.wikidata.org/wiki/Q860554“,”display_name“:”公制(单位)“,”级别“:2,”分数“:0.68187654},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198(网址:https://www.wikidata.org/wiki/Q21198)“,”display_name“:”计算机科学“,”level“:0,”score“:0.65790683},{”id“:”https://openalex.org/C164226766,“wikidata”:https://www.wikidata.org/wiki/Q7293202“,”display_name“:”等级(图论)“,”level“:2,”score“:0.55721456},{”id“:”https://openalex.org/C2776637919,“wikidata”:https://www.wikidata.org/wiki/Q624380“,”display_name“:”下降(航空)“,”等级“:2,”分数“:0.5444677},{”id“:”https://openalex.org/C206688291,“wikidata”:https://www.wikidata.org/wiki/Q7617819“,”display_name“:”随机梯度下降“,”level“:3,”score“:0.47985214},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.40616736},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.3462382},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.2834247},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.2507669},{”id“:”https://openalex.org/C114614502,“wikidata”:https://www.wikidata.org/wiki/Q76592“,”display_name“:”组合数学“,”level“:1,”score“:0.17216247},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”物理“,”等级“:0,”分数“:0.06424117},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”Engineering“,”level“:0,”score“:0.057883203},{”id“:”https://openalex.org/C153294291,“wikidata”:https://www.wikidata.org/wiki/Q25261“,”display_name“:”气象学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C21547014,“wikidata”:https://www.wikidata.org/wiki/Q1423657“,”display_name“:”Operations management“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/icpr.2018.8546239“,”pdf_url“:null,”source“:null,”license“:null,”liccense_id“:nuld,”version“:nully,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[{”score“:0.66,”id“:”https://metadata.un.org/sdg/9“,”display_name“:”工业、创新和基础设施“}],”拨款“:[],”数据集“:[[],”版本“:[',”referenced_works_count“:26,”referrenced_works“:[”https://openalex.org/W115818832","https://openalex.org/W1898424075","https://openalex.org/W1905908634","https://openalex.org/W1977193486","https://openalex.org/W2004080111","https://openalex.org/W2014987111","https://openalex.org/W2015563892","https://openalex.org/W2027922120","https://openalex.org/W2065180801","https://openalex.org/W2085120256","https://openalex.org/W2087044413","https://openalex.org/W2104752854","https://openalex.org/W2117154949","https://openalex.org/W2118840614","https://openalex.org/W2118979615","https://openalex.org/W2121667911","https://openalex.org/W2130359109","https://openalex.org/W2130556178","https://openalex.org/W2131627887网址","https://openalex.org/W2136261952","https://openalex.org/W2144935315","https://openalex.org/W2150038733","https://openalex.org/W2157911873","https://openalex.org/W2602948783","https://openalex.org/W2611669830","https://openalex.org/W4210880854“],”related_works“:[”https://openalex.org/W4294982320","https://openalex.org/W4286693783","https://openalex.org/W3175914740","https://openalex.org/W3034587794","https://openalex.org/W2953288298","https://openalex.org/W2486267010","https://openalex.org/W2484651380","https://openalex.org/W2399042127","https://openalex.org/W2356529274","https://openalex.org/W2020098476“],”ngrams_url“:”https://api.openalex.org/works/W2902113407/ngrams,“抽象已转换索引”:{1“:[2,5],”The“:[6],”responsive“:[7],”author“:[8],”is“:[9,15195],”Professor“:[10],”Yang“:[11],”Cong.“:[12],”This“:[13],”work“:%14],”supported“:[16],“by”:[17209],”Nature“:[18],“Science”:[19],“Foundation”:[20],”of“:[21188227],”China“:[22],“under”:[23],“授予”:[24],“(61722311,”:[25],“U1613214,”:[2],“61533015)”:[27],“和“:[28,61,92,98186193220],“CAS-青年”:[29],“创新”:[30],“推广”:[31],“协会”:[32],“奖学金”:[33],“(2012163)最近,”:[34],“很多”:[35,48],“机器”:[36],“学习”:[37,83,91],“问题”:[38],“依赖”:[39],“依靠”:[40105139],“a”:[41,80116132],“有价值的”:[42],“工具:“:[43],”度量“:[44,82,90168],”学习。“:[45],”“然而,”“:[46],”in“:[47,53,73119126176],”applications,“:[49],”大规模“:[50,97],”应用程序“:[51],”嵌入式“:[52],”高维“:[54,99174],”特征“:[55],”空间“:[56],”may“:[57],”诱导“:[58],”二者“:[59],”计算“:[60],”存储“:[62],”要求“:[63],”to“:[64,69,78114136164198200],“增长”:[65],“二次增长”。“:[66],”In“:[67],”order“:[68],”travel“:[70],”these“:[71],”challenges“:[72],”this“:[74145],”论文“:[75],”we“:[776130156205],”intentive“:[77],”establishment“:[79],”robust“:[81],”formulation“:[84122],”with“:[852114],”the“:[886106110120127140153166173184201221225],”expection“:[87],”that“:”:[88],“在线”:[89],“并行”:[93159],“优化“:[94],“can”:[95171],“solve”:[96],“data”:[100175],“efficiency”,“:[101],”。“:[102],”具体地说,“:[103],”基于“:[104],”矩阵“:[107],”因子分解“:[108],”策略“:[109],”第一“:[111],”步骤“:[112],”目标“:[113],”学习“:[115165],”相似性“:[117124],”函数“:[118],”目标“:[121],”用于“:[123152],”测量;“:[125],”第二“:[128],”步骤“:[129],”派生“:[131],”变分“:[133146],”跟踪“:[134],”范数“:[135],”提升“:[137],”低秩“:[138],”变换“:[141],”矩阵“:[142],”后“:[143],”转换“:[144],”正则化“:[147],”到“:[148],”其“:[149],”可分离“:[150],”形式“:[151],”“模型”:[154],“优化”:[155],“当前”:[157],“an“:[158177],”block“:[160189],”coordinate“:[161190],”descention“:[162191],”method“:[163182],”optimal“:[167202],”parameters“,”:[169],“which”:[170],“handle”:[172],“efficient”:[178],“way”。”:[179],“至关重要”:[180],“我们的”:[181207228],“份额”:[183],“效率”:[185],“灵活性”:[187],“方法”:[192],“它”:[194],“也是”:[196],“保证”:[197],“收敛”:[1999],“解决方案”。“:[203],”最终“:[204],”评估“:[206],”方法“:[208],”分析“:[210],”场景“:[211],”分类“:[212],”数据集“:[213],”十“:[215],”千“:[217],”维度“:[219],”实验“:[222],”结果“:[223],”显示“:[224],”有效性“:[226],”建议“:[229],”模型。“:[230]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2902113407“,”counts_by_year“:[{”年份“:2022,”cited_by_count“:1},{”年“:2019,”cited_by_count”:2}],”更新日期“:”2024-06-17T01:53:42.931869“,”创建日期“:“2018-12-11”}