{"id":"https://openalex.org/W4387968627","doi":"https://doi.org/10.1145/3581783.3613445","title":"Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering","display_name":"Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968627","doi":"https://doi.org/10.1145/3581783.3613445"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3613445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024272804","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-5929-0853"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040644418","display_name":"Jingwen Wei","orcid":"https://orcid.org/0000-0001-9185-3604"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Wei","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408156","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-9264-9741"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017096005","display_name":"Zechao Li","orcid":"https://orcid.org/0000-0002-5341-5985"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechao Li","raw_affiliation_strings":["Nanjing University of Science and Techonolgy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Techonolgy, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697167","display_name":"Chunlin Chen","orcid":"https://orcid.org/0000-0003-3929-4707"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Chen","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076835782","display_name":"Huaxiong Li","orcid":"https://orcid.org/0000-0003-0395-1525"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiong Li","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024272804"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":2.1454,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89686941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"300","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.8505996465682983},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7521251440048218},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6951353549957275},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6011648774147034},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5990595817565918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5722967982292175},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5719478130340576},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4692281186580658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46661773324012756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4268541634082794},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4129132032394409},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38160860538482666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36809730529785156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24196520447731018}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.8505996465682983},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7521251440048218},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6951353549957275},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6011648774147034},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5990595817565918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5722967982292175},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5719478130340576},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4692281186580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46661773324012756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4268541634082794},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4129132032394409},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38160860538482666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36809730529785156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24196520447731018},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3613445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G120003153","display_name":null,"funder_award_id":"62176116, 62073160, 62276136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2564160308","display_name":null,"funder_award_id":"62073160","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3167588430","display_name":null,"funder_award_id":"62276136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4262806985","display_name":null,"funder_award_id":"2022ZD0118802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7233452540","display_name":null,"funder_award_id":"62176116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7996831764","display_name":null,"funder_award_id":"62073160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8493606578","display_name":null,"funder_award_id":"20KJA520006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8676609639","display_name":null,"funder_award_id":"Jiangsu","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W62192748","https://openalex.org/W1550614472","https://openalex.org/W1979089718","https://openalex.org/W2057069782","https://openalex.org/W2142674578","https://openalex.org/W2169658215","https://openalex.org/W2181159407","https://openalex.org/W2187089797","https://openalex.org/W2590019597","https://openalex.org/W2741998188","https://openalex.org/W2766642606","https://openalex.org/W2787425086","https://openalex.org/W2893652381","https://openalex.org/W2903938664","https://openalex.org/W2906529026","https://openalex.org/W2963517422","https://openalex.org/W2963664109","https://openalex.org/W2965510190","https://openalex.org/W3008561560","https://openalex.org/W3010318487","https://openalex.org/W3023700315","https://openalex.org/W3047358409","https://openalex.org/W3091857251","https://openalex.org/W3093207983","https://openalex.org/W3098802639","https://openalex.org/W3136737181","https://openalex.org/W3173513735","https://openalex.org/W3200484065","https://openalex.org/W3206460183","https://openalex.org/W3207143610","https://openalex.org/W3207537336","https://openalex.org/W4205714509","https://openalex.org/W4210335338","https://openalex.org/W4283827931","https://openalex.org/W4284898496","https://openalex.org/W4285308876","https://openalex.org/W4285506431","https://openalex.org/W4290713716","https://openalex.org/W4304099318","https://openalex.org/W4310462890","https://openalex.org/W4313306350","https://openalex.org/W4320008873","https://openalex.org/W4321609154","https://openalex.org/W4323338305","https://openalex.org/W4375801803","https://openalex.org/W6785382328"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W1968265719","https://openalex.org/W3103289951","https://openalex.org/W643977996","https://openalex.org/W2950359809","https://openalex.org/W2972477132","https://openalex.org/W4226139248"],"abstract_inverted_index":{"Graph":[0],"based":[1,90],"methods":[2,14],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7,70],"incomplete":[8,23],"multi-view":[9],"clustering":[10],"(IMVC).":[11],"Most":[12],"recent":[13],"try":[15],"to":[16,26,120],"fill":[17],"the":[18,33,39,59,115,122,145,155,158,181,185],"original":[19,40,126],"missing":[20],"samples":[21],"or":[22,43,73],"affinity":[24],"matrices":[25],"obtain":[27],"a":[28,85,105],"complete":[29,44],"similarity":[30,48],"graph":[31],"for":[32,76],"subsequent":[34],"spectral":[35,74,96,112,139],"clustering.":[36,77],"However,":[37],"recovering":[38],"high-dimensional":[41],"data":[42,127],"n":[45,47],"X":[46],"matrix":[49,133],"is":[50,118,134,162],"usually":[51],"time-consuming":[52],"and":[53,99,114,141,180,187],"noise-sensitive.":[54],"Besides,":[55],"they":[56],"generally":[57],"separate":[58],"cluster":[60,101,131],"indicator":[61,102,132],"learning":[62,103],"into":[63,104],"an":[64],"individual":[65],"step,":[66],"which":[67,94],"may":[68],"result":[69],"sub-optimal":[71],"graphs":[72],"embeddings":[75],"To":[78,152],"address":[79],"these":[80],"problems,":[81],"this":[82],"paper":[83],"proposes":[84],"robust":[86],"Spectral":[87],"Embedding":[88],"Completion":[89],"IMVC":[91],"(SEC-IMVC)":[92],"method,":[93],"incorporates":[95],"embedding":[97,116],"completion":[98,110,156],"discrete":[100,130],"unified":[106],"framework.":[107],"SEC-IMVC":[108],"performs":[109],"on":[111,177],"embeddings,":[113],"noise":[117],"eliminated":[119],"reduce":[121],"negative":[123],"influence":[124],"of":[125,189],"noise.":[128],"The":[129],"seamlessly":[135],"learned":[136],"by":[137,165],"using":[138],"rotation,":[140],"it":[142],"can":[143],"explore":[144],"first-order":[146],"feature":[147],"consistency":[148,161],"among":[149],"different":[150],"views.":[151],"further":[153],"improve":[154],"robustness,":[157],"second-order":[159],"correlation":[160],"also":[163],"captured":[164],"pairwise":[166],"relations":[167],"alignment.":[168],"We":[169],"compare":[170],"our":[171,190],"method":[172],"with":[173],"some":[174],"state-of-the-art":[175],"approaches":[176],"several":[178],"datasets,":[179],"experimental":[182],"results":[183],"show":[184],"effectiveness":[186],"advantages":[188],"method.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}