{“id”:“https://openalex.org/W4281716961“,”doi“:”https://doi.org/10.48550/arxiv.2206.04276“,”title“:”带重尾噪声的稳健矩阵完备性“,”display_name“:”带有重尾干扰的稳健矩阵完成“,”publication_year“:2022,”publitation_date“:”2022-01-01“,”ids“:{”openalex“:”https://openalex.org/W4281716961“,”doi“:”https://doi.org/10.48550/arxiv.2206.04276“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2206.04276“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”type“:”预印本“,”type_crossref“:”发布的内容“,”indexed_in“:[”arxiv“,”datacite“],”open_access“:{”is_oa“:true,”oa_status“:”green“,”oa_url“:”https://arxiv.org/abs/2206.04276“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5059234351“,”display_name“:”Bingyan Wang“,”orcid“:”https://orcid.org/0000-0002-3522-2848“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”王,Bingyan“,”raw关联字符串“:[]},{“author_position”:“last”,“author”:{“id”:“”https://openalex.org/A5031910872“,”display_name“:”范建清“,”兽人“:”https://orcid.org/0000-0002-5326-5358“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:Fan,Jianqing”,“raw_affiliation_strings”:[]}],“countries_distict_count”:0,“institutions_disticent_count”:0.,“corresponding_author_ids”:[],“cited_by_percentile_year“:{“min”:67,“max”:76},“biblio”:{卷:null,“问题”:nullhttps://openalex.org/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.9999,”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“}},”主题“:[{”id“:”https://openalex.org/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.9999,”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/T11447“,”“display_name”:“盲源分离与独立分量分析”,“score”:0.9958,“subfield”:{“id”:“https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”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/T10688“,”display_name“:”图像去噪技术与算法“,”score“:0.9945,”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/matrix-completion“,”display_name“:”矩阵完成“,”score“:0.55864},{”id“:”https://openalex.org/keywords/sparse近似“,”display_name“:”稀疏近似“,”score“:0.504922},{”id“:”https://openalex.org/keywords/convex-optimization(https://openalex.org/keywords/convex-optimization)“,”display_name“:”凸优化“,”score“:0.503748},{”id“:”https://openalex.org/keywords/compressed-sensing网站“,”display_name“:”Compressed Sensing“,”score“:0.500209}],”concepts“:[{”id“:”https://openalex.org/C2778459887,“wikidata”:https://www.wikidata.org/wiki/Q6787865(网址:https://www.wikidata.org/wiki/Q6787865)“,”display_name“:”矩阵完成“,”level“:3,”score“:0.7219029},{”id“:”https://openalex.org/C63479239,“wikidata”:https://www.wikidata.org/wiki/Q7353546“,”display_name“:”健壮性(进化)“,”level“:3,”score“:0.54295486},{”id“:”https://openalex.org/C114466953,“wikidata”:https://www.wikidata.org/wiki/Q6034165“,”display_name“:”初始化“,”级别“:2,”分数“:0.5183695},{”id“:”https://openalex.org/C79337645,“wikidata”:https://www.wikidata.org/wiki/Q779824“,”display_name“:”Outlier“,”level“:2,”score“:0.5082035},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.5058179},{”id“:”https://openalex.org/C149728462,“wikidata”:https://www.wikidata.org/wiki/Q751319“,”display_name“:”Minimax“,”level“:2,”score“:0.48736054},{”id“:”https://openalex.org/C106487976,“wikidata”:https://www.wikidata.org/wiki/Q685816“,”display_name“:”Matrix(化学分析)“,”level“:2,”score“:0.47545192},{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.45604092},{”id“:”https://openalex.org/C163716315,“wikidata”:https://www.wikidata.org/wiki/Q901177“,”display_name“:”Gaussian“,”level“:2,”score“:0.4548531},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.44925955},{”id“:”https://openalex.org/C99498987,“wikidata”:https://www.wikidata.org/wiki/Q2210247“,”display_name“:”噪音(视频)“,”级别“:3,”分数“:0.42748123},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.41431},{”id“:”https://openalex.org/C34388435,“wikidata”:https://www.wikidata.org/wiki/Q2267362“,”display_name“:”绑定函数“,”level“:2,”score“:0.4100543},{”id“:”https://openalex.org/C28826006,“wikidata”:https://www.wikidata.org/wiki/Q33521“,”display_name“:”应用数学“,”level“:1,”score“:0.3436329},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.10970074},{”id“:”https://openalex.org/C134306372,“wikidata”:https://www.wikidata.org/wiki/Q7754“,”display_name“:”数学分析“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C55493867,“wikidata”:https://www.wikidata.org/wiki/Q7094“,”display_name“:”生物化学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C192562407,“wikidata”:https://www.wikidata.org/wiki/Q228736“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”Image(mathematics)“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材料“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C104317684,“wikidata”:https://www.wikidata.org/wiki/Q7187“,”display_name“:”Gene“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C185592680,“wikidata”:https://www.wikidata.org/wiki/Q2329“,”display_name“:”Chemistry“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”Physics“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2206.04276“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},{”is_oa“:false,”landing_page_url“:”https://api.datacite.org/dois/10.48550/arxiv.2206.04276“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S4393179698“,”display_name“:”DataCite API“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I4210145204“,”“host_organization_name”:“DataCite”,“host_organization_lineage”:[“https://openalex.org/I4210145204“],”host_organization_lineage_names“:[”DataCite“],“type”:“metadata”},“license”:null,“licence_id”:null,“version”:null}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://arxiv.org/abs/2206.04276“,”pdf_url“:null,”source“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[https://openalex.org/W4312051587","https://openalex.org/W4310609311","https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W3095877357","https://openalex.org/W3031039437","https://openalex.org/W2355833770","https://openalex.org/W2072565696","https://openalex.org/W1985458517","https://openalex.org/W183202219“],”ngrams_url“:”https://api.openalex.org/works/W4281716961/ngrams网站“,”“abstract_inverted_index”:{“This”:[0],“paper”:[1],“studies”:[2],“low rank”:[3,22136],“matrix”:[4,23,34138],“completion”:[5,35],“in”:[6,4110193],“the”:[7,33,42,53,66,74,78,82108111119157162165173188194],“presence”:[8],“of”:[9,27,49,64,77168],“heavy tailed”:[10,58,96],“和”:[11,69103122140],“可能”:[12104],“不对称“:[13105],”噪声“:[14,97],”其中“:[15],“我们”:[16,88127],“目标”:[17],“到”:[18,72,94117124],“估计”:[19],“an”:[20,90129],“底层”:[21],“给定”:[24],“a”:[25134181205],“集合”:[26],“高度”:[28],“不完整”:[29],”噪音“:[30],”条目。“:[31],”虽然“:[32],”问题“:[36],”有“:[37187],”吸引“:[38],”很多“:[39],”注意“:[40],”过去“:[43],”十年“:[44],”那里“:[45],”是“:[46,70,99114204],”仍然“:[47],”缺乏“:[48],”理论“:[50211],”理解“:[51],”当“:[52107],”观察“:[54],”are“:[55213],“被污染”:[56],“由”:[57172215],“噪音。“:[59],“先验”:[60],“理论”:[61],“跌落”:[62],“短”:[63],“解释”:[65],“经验”:[67],“结果”:[68212],“无法”:[71],“捕获”:[73],“最优”:[75],“依赖”:[76],“估计”:[79184],“错误”:[80158167],“on”:[81156],“噪声”:[83],“级别”。“:[84],“In”:[85],“this”:[86201],“paper”:[87],“accept”:[89],“adaptive”:[91],“Huber”:[22],“loss”:[93112],“condition”:[95],“which”:[98186],“robust”:[100144],“against”:[101],“large”:[102],“errors”:[106],“parameter”:[109],“function”:[113],“careed”:[115],“designed”:[116],”balance”:[118],“Huberization”:[120],“biases”:[121],“robusiness”:[123],“异常值。“:[125],”然后,“:[126],”建议“:[128],”有效“:[130],”非凸“:[131],”算法“:[132175],”via“:[133],”平衡“:[135],”Burr-Monteiro“:[137],”因式分解“:[139],”梯度“:[141],”体面“:[142],”with“:[143],”光谱“:[145],”初始化。“:[146],“We”:[147],“prove”:[148],“that”:[149192],“under”:[150],“only”:[151],“bounded”:[152],“second”:%153],“moment”:[154],“condition”:[155],“distributions”:[159],“not”:161],“sub-Gaussian”:[163195],“assemption”,“:[164],”欧几里德“:[166],“iters”:[170],“generated”:[171],“建议”:[174],“减少”:[176],“几何”:[177],“快速“:[178],”直到“:[179],”实现“:[180],”最小最优“:[182],”统计“:[183],”错误“:[185],”相同“:[189],”顺序“:[190],”作为“:[191],”案例。“:[196],“The”:[197210],“key”:[198],“technology”:[199],“behind”:[200],“significant”:[202],“advancement”:[203],“powerful”:[206],“leave-one-out”:[207],“analysis”:[208],“framework.”:[209],“corborated”:[214],“our”:[216],“samulation”:[217],“studies”。“:[218]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4281716961“,”counts_by_year“:[{”年“:2023,”cited_by_count“:1}],”更新日期“:”2024-05-14T12:42:27.674534“,”创建日期“:“2022-06-13”}“