{“id”:“https://openalex.org/W80102357“,”doi“:”https://doi.org/10.1007/978-3319-10578-9_19“,”title“:”百万图像上带凸正则化器的光谱聚类“,”display_name“:”数百万图像上带凸集正则器的光谱簇“,”publication_year“:2014,”publiation_date“:”2014-01-01“,”ids“:{”openalex“:”https://openalex.org/W80102357“,”doi“:”https://doi.org/10.1007/978-3319-10578-9_19“,”mag“:”80102357“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1007/978-3319-10578-9_19,“pdf_url”:https://link.springer.com/content/pdf/10.1007%2F978-3-319-10578-9_19.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”book-chapter“,”type_crossref“:美国“:”铜牌“,”oaurl“:”https://link.springer.com/content/pdf/10.1007%2F978-3-319-10578-9_19.pdf“,”any_repository_has_fulltext“:true},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5002967684“,”display_name“:”Maxwell D.Collins“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I135310074“,”display_name“:”威斯康星大学\u2013Madison“,”ror“:”https://ror.org/01y2jtd41“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I135310074“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Maxwell D.Collins“,”raw _ afiliation_strings“:[“美国威斯康星大学麦迪逊分校”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5049225160“,”display_name“:”吉刘“,”兽人“:”https://orcid.org/0000-0001-5024-129X},“机构”:[{“id”:https://openalex.org/I5388228“,”display_name“:”罗切斯特大学“,”ror“:”https://ror.org/022kthw22“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I5388228“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Ji Liu“,”raw_affiliation_strings“:[“美国罗切斯特大学”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5042055991“,”display_name“:”Jia Xu“,”orcid“:”https://orcid.org/0000-0003-4061-8262},“机构”:[{“id”:https://openalex.org/I135310074“,”display_name“:”威斯康星大学\u2013Madison“,”ror“:”https://ror.org/01y2jtd41“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I135310074“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”贾旭“,”raw _affiliation_strings“:[“美国威斯康星大学,麦迪逊分校”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5054642319“,”display_name“:”Lopamudra Mukherjee“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I183533211“,”display_name“:”威斯康星大学\u2013Whitewater“,”ror“:”https://ror.org/049hrzs50“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I183533211“]}],”countries“:[”US“],”is_corresponding“:false,”raw_author_name“:”Lopamudra Mukherjee“,”raw _affiliation_strings“:【”University of Wisconsin,Whitewater,USA“]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5088095690“,”display_name“:”维卡斯·辛格“,”兽人“:”https://orcid.org/0000-0002-8355-6519},“机构”:[{“id”:https://openalex.org/I135310074“,”display_name“:”威斯康星大学\u2013Madison“,”ror“:”https://ror.org/01y2jtd41“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I135310074“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”维卡斯·辛格“,”raw _ afiliation_strings“:[“美国威斯康星大学麦迪逊分校”]}]“countries _ distinct_count”:1,”institutions _ disting_count“:3,”corresponding_author_ids“:[],”corresponding_institution_ids:5392,“来源”:doaj“},”apc_payd“:{”value“:5000,”currency“:”EUR“,”value_usd“:5392,”来源“:”doaj”},“has_fulltext”:false,“cited_by_count”:28,“cited_by_percentile_year”:{“min”:93,“max”:94},‘biblio’:{‘volume’:null,“issue”:null、“first_page”:“282”,“last_page”:“298”}、“is_retracted”:false,“is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T10627“,”“display_name”:“图像特征检索与识别技术”,“score”:0.9972,“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/T10627“,”display_name“:”图像特征检索和识别技术“,”score“:0.9972,”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/T10689“,”“display_name”:“高光谱图像分析与分类”,“score”:0.9969,“subfield”:{“id”:“https://openalex.org/subfields/2214“,”display_name“:”Media Technology“},”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/T10057“,”display_name“:”人脸识别和降维技术“,”score“:0.9947,”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“}}],”关键词“:[{”id“:”https://openalex.org/keywords/spectral-clustering网站“,”display_name“:”光谱聚类“,”score“:0.619775},{”id“:”https://openalex.org/keywords/image-retrieval网站“,”display_name“:”图像检索“,”score“:0.547102},{”id“:”https://openalex.org/keywords/feature-matching“,”display_name“:”功能匹配“,”score“:0.534266},{”id“:”https://openalex.org/keywords/dimmensionality缩减“,”display_name“:”维度缩减“,”score“:0.532697},{”id“:”https://openalex.org/keywords/对象识别“,”display_name“:”Object Recognition“,”score“:0.530763}],”concepts“:[{”id“:”https://openalex.org/C73555534,“wikidata”:https://www.wikidata.org/wiki/Q622825“,”display_name“:”聚类分析“,”level“:2,”score“:0.731835},{”id“:”https://openalex.org/C2776135515,“wikidata”:https://www.wikidata.org/wiki/Q17143721“,”display_name“:”正则化(语言学)“,”level“:2,”score“:0.71927035},{”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“:0.7090272},{”id“:”https://openalex.org/C105611402,“wikidata”:https://www.wikidata.org/wiki/Q2976589“,”display_name“:”Spectral clustering“,”level“:3,”score“:0.5758519},{”id“:”https://openalex.org/C112680207,“wikidata”:https://www.wikidata.org/wiki/Q714886“,”display_name“:”正多边形“,”level“:2,”score“:0.55125195},{”id“:”https://openalex.org/C165696696,“wikidata”:https://www.wikidata.org/wiki/Q11287“,”display_name“:”Exploit“,”level“:2,”score“:0.5376441},{”id“:”https://openalex.org/C206688291,“wikidata”:https://www.wikidata.org/wiki/Q7617819“,”display_name“:”随机梯度下降“,”level“:3,”score“:0.5073418},{”id“:”https://openalex.org/C57869625,“wikidata”:https://www.wikidata.org/wiki/Q1783502“,”display_name“:”收敛速度“,”level“:3,”score“:0.46292803},{”id“:”https://openalex.org/C145446738,“wikidata”:https://www.wikidata.org/wiki/Q319913“,”display_name“:”凸函数“,”level“:3,”score“:0.43716872},{”id“:”https://openalex.org/C2777303404,“wikidata”:https://www.wikidata.org/wiki/Q759757“,”display_name“:”Convergence(economics)“,”level“:2,”score“:0.43267593},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.4121068},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.3837004},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.37729442},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.25554374},{”id“:”https://openalex.org/C26517878,“wikidata”:https://www.wikidata.org/wiki/Q228039“,”display_name“:”Key(lock)“,”level“:2,”score“:0.1325596},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.0720247},{”id“:”https://openalex.org/C2524010,“wikidata”:https://www.wikidata.org/wiki/Q8087“,”display_name“:”Geometry“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C38652104,“wikidata”:https://www.wikidata.org/wiki/Q3510521“,”display_name“:”计算机安全“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C162324750,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”经济学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C50522688,“wikidata”:https://www.wikidata.org/wiki/Q189833“,”display_name“:”经济增长“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1007/978-3319-10578-9_19“,”pdf_url“:”https://link.springer.com/content/pdf/10.1007%2F978-3-319-10578-9_19.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},{“is_oa”:true,“landing_page_url”:“http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.665.8993,“pdf_url”:http://pages.cs.wisc.edu/%7Emcollins/pubs/eccv2014.pdf,“源”:{“id”:https://openalex.org/S4306400349“,”display_name“:”CiteSeer X(宾夕法尼亚州立大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I130769515“,”“host_organization_name”:“宾夕法尼亚州立大学”,“host_ordanization_lineage”:[“https://openalex.org/I130769515“],”host_organization_lineage_names“:[”Pennsylvania State University“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.1007/978-3319-10578-9_19,“pdf_url”:https://link.springer.com/content/pdf/10.1007%2F978-3-319-10578-9_19.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”sustainable_development_goals“:[],”grants“:【】,”dataset“:【],”versions“:【〕,”referenced_works_count“:26,”https://openalex.org/W1506690472","https://openalex.org/W1539831438","https://openalex.org/W1549083695","https://openalex.org/W1566135517","https://openalex.org/W1677409904","https://openalex.org/W2045512849","https://openalex.org/W2051549110","https://openalex.org/W2083359884","https://openalex.org/W2086953401","https://openalex.org/W2108598243","https://openalex.org/W2113573459","https://openalex.org/W2116810533","https://openalex.org/W2123576058","https://openalex.org/W2124372976","https://openalex.org/W2126337883","https://openalex.org/W2136294701","https://openalex.org/W2142674578","https://openalex.org/W2145607950","https://openalex.org/W2151103935","https://openalex.org/W2169232245","https://openalex.org/W2171790913","https://openalex.org/W2405459681","https://openalex.org/W2962834831","https://openalex.org/W3105471108","https://openalex.org/W4233135949","https://openalex.org/W4249296356“],”related_works“:[”https://openalex.org/W4382937879","https://openalex.org/W4292651679","https://openalex.org/W4206119629","https://openalex.org/W3172664294","https://openalex.org/W3002546633","https://openalex.org/W2985014567","https://openalex.org/W2964170259","https://openalex.org/W2765682467","https://openalex.org/W2499557797","https://openalex.org/W2400034325“],”ngrams_url“:”https://api.openalex.org/works/W80102357/ngrams“,”“abstract_inverted_index”:{“This”:[0],“paper”:[1],“focuss”:[2],“on”:[3,58139],“efficient”:[4],“algorithms”:[5],“for”:[6,17,82,91],“single”:[7],“and”:[8],“multi-view”:/9],“spectric”:[10,84],“clustering”:[11,85],“with”:[12,87,93],“a”:[13,70,96140],“凸”:[14,89],“正规化”:[15,40,74],“术语”:[16],“非常”:[18],“大型”:[19],“规模”:[20],“图像“:[21],”数据集。“:[22],”In“:[23],”计算机“:[24],”视觉“:[25143],”应用程序“:[26],”多个“:[27],”视图“:[28],”表示“:[29],”不同“:[30],”图像衍生“:[31],”特征“:[32],”表示“:[33],”那个“:[34102123],”通知“:[35],”那个“:[36,39,59106115124130146],”聚类“:[37],”分别“:[38],”“编码”:[41],“高”:[42],“级别”:[43],“advice“:[44],”such“:[45,65,88],”as“:[46],”tags“:[47],”or“:[48,72],”user“:%49],”interaction“:[50],”in“:[51],”identified“:[52],”similar“:[53],”objects“:[54],”across“:[55],”examples。“:[56,99],”依赖“:[57],”特定“:[60],”任务“:[61],”方案“:[62],”to“:[63,69,95],”利用“:[64],”信息“:[66],”may“:[67],”lead“:[68],”smooth“:[71],”non-mooth“:[73],”function。“:[75],“We”:[76100134],“present”:[77],“randomic”:[78],“gradient”:[79],“descence”:[80],“methods”:[81],“optimization”:[83],“objectives”:[86],“regulaters”:[00],“dataset”:[92144],“up”:[94],“fi百”:[97],“millium”:[98],“prove”:[101],“under”:[103],“轻度”:[104],“conditions”:[105],“local”“:[107],”收敛“:[108125],”速率“:[109],”是“:[110114],”\\(O(1/\\sqrt{T})\\)“:[111],”其中“:[112],”T“:[113],”数字“:[116131],”of“:[117132142],”迭代;“:[118],”进一步“,:[119],”我们的“:[120],”分析“:[121],”显示“:[122],”改进“:[126],”线性“:[127],”by“:[128],”增加“:[129],”线程。“:[133],”给定“:[135],”广泛“:[136],”实验“:[137],”结果“:[138],”范围“:[141],”演示“:[145],”算法\u2019s“:[147],”经验“:[148],”行为。“:[149]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W80102357“,”“counts_by_year”:[{“年份”:2023,”“cited_by_count”:1},{“年度”:2022,”“cited_by_cunt”:3},}“年份“:2021,”“cited_by-count”“:2},”“年份”年份“:2016,”引用_ by_count“:4},{“年份”:2015,”引用_by_counts“:3},”年份“:2014,”引用_count”:1}],“更新日期”:“2024-05-12T00:53:05.047170”,“创建日期”:“2016-06-24”}