{"id":"https://openalex.org/W4393252733","doi":"https://doi.org/10.1109/tcsvt.2024.3382761","title":"Flexible and Parameter-Free Graph Learning for Multi-View Spectral Clustering","display_name":"Flexible and Parameter-Free Graph Learning for Multi-View Spectral Clustering","publication_year":2024,"publication_date":"2024-03-28","ids":{"openalex":"https://openalex.org/W4393252733","doi":"https://doi.org/10.1109/tcsvt.2024.3382761"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3382761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3382761","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5006269744","display_name":"Qinghai Zheng","orcid":"https://orcid.org/0000-0002-8684-1577"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinghai Zheng","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006269744"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":3.8626,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94493397,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":"9","first_page":"8966","last_page":"8971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.988099992275238,"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":0.988099992275238,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9697999954223633,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721677780151367},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6000677347183228},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5831910371780396},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4932524561882019},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45893192291259766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42663419246673584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32144254446029663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721677780151367},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6000677347183228},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5831910371780396},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4932524561882019},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45893192291259766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42663419246673584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32144254446029663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3382761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3382761","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4132449007","display_name":null,"funder_award_id":"62306074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7986708169","display_name":null,"funder_award_id":"2023J05025","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W1489991816","https://openalex.org/W1975172027","https://openalex.org/W1997201895","https://openalex.org/W2007972815","https://openalex.org/W2067931421","https://openalex.org/W2085789144","https://openalex.org/W2129250947","https://openalex.org/W2132914434","https://openalex.org/W2577472518","https://openalex.org/W2740464254","https://openalex.org/W2758611985","https://openalex.org/W2808465901","https://openalex.org/W2809299793","https://openalex.org/W2896169497","https://openalex.org/W2898233200","https://openalex.org/W2912377370","https://openalex.org/W2965174731","https://openalex.org/W3044063956","https://openalex.org/W3047358409","https://openalex.org/W3120807512","https://openalex.org/W3122870122","https://openalex.org/W3134214794","https://openalex.org/W3136737181","https://openalex.org/W3160988939","https://openalex.org/W3176694003","https://openalex.org/W3189403855","https://openalex.org/W3206294656","https://openalex.org/W3214614272","https://openalex.org/W3215900581","https://openalex.org/W4200226646","https://openalex.org/W4230962939","https://openalex.org/W4241492945","https://openalex.org/W4250657332","https://openalex.org/W4289535947","https://openalex.org/W4292348099","https://openalex.org/W4310595044","https://openalex.org/W4312238451","https://openalex.org/W4313041774","https://openalex.org/W4315926876","https://openalex.org/W4320008873","https://openalex.org/W4360753265","https://openalex.org/W4382317881","https://openalex.org/W4386075926","https://openalex.org/W4386083068","https://openalex.org/W6743484365","https://openalex.org/W6803318553"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2804364458","https://openalex.org/W2053286651","https://openalex.org/W4298130764","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2132641928","https://openalex.org/W2181413294","https://openalex.org/W1482912984"],"abstract_inverted_index":{"With":[0],"the":[1,24,33,47,62,66,82,99,116,122],"extensive":[2],"use":[3],"of":[4,16,65,126],"multi-view":[5,9],"data":[6,113],"in":[7],"practice,":[8],"spectral":[10],"clustering":[11,45,80],"has":[12],"received":[13],"a":[14,55,76,88,93],"lot":[15],"attention.":[17],"In":[18],"this":[19,51],"work,":[20],"we":[21,53,86],"focus":[22],"on":[23],"following":[25],"two":[26],"challenges,":[27],"namely,":[28],"how":[29,42],"to":[30,43,97,109,130],"deal":[31,110],"with":[32,92,111],"partially":[34,67],"contradictory":[35,68],"graph":[36,57,69,78,90,95],"information":[37,70],"among":[38,71],"different":[39,72],"views":[40,73],"and":[41,74,124],"conduct":[44],"without":[46,81],"parameter":[48,83],"selection.":[49,84],"To":[50],"end,":[52],"establish":[54],"novel":[56],"learning":[58],"framework,":[59],"which":[60],"avoids":[61],"linear":[63],"combination":[64],"learns":[75],"unified":[77],"for":[79],"Specifically,":[85],"introduce":[87],"flexible":[89],"degeneration":[91],"structured":[94],"constraint":[96],"address":[98],"aforementioned":[100],"challenging":[101],"issues.":[102],"Besides,":[103],"our":[104,127],"method":[105],"can":[106],"be":[107],"employed":[108],"large-scale":[112],"by":[114],"using":[115],"bipartite":[117],"graph.":[118],"Experimental":[119],"results":[120],"show":[121],"effectiveness":[123],"competitiveness":[125],"method,":[128],"compared":[129],"several":[131],"state-of-the-art":[132],"methods.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}