{"id":"https://openalex.org/W3203289427","doi":"https://doi.org/10.1109/tpami.2021.3116948","title":"Incomplete Multiple Kernel Alignment Maximization for Clustering","display_name":"Incomplete Multiple Kernel Alignment Maximization for Clustering","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3203289427","doi":"https://doi.org/10.1109/tpami.2021.3116948","mag":"3203289427","pmid":"https://pubmed.ncbi.nlm.nih.gov/34596533"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3116948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3116948","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101727888"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":5.7307,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.97152927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"46","issue":"3","first_page":"1412","last_page":"1424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6464176774024963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639866828918457},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6173346638679504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5933497548103333},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5078719258308411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3252888321876526},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11545372009277344}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464176774024963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639866828918457},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6173346638679504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5933497548103333},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5078719258308411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3252888321876526},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11545372009277344}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3116948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3116948","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34596533","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34596533","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6882220406","display_name":null,"funder_award_id":"61906020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8266900483","display_name":null,"funder_award_id":"61922088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1879834137","https://openalex.org/W1920328734","https://openalex.org/W1923184257","https://openalex.org/W1988176704","https://openalex.org/W2007972815","https://openalex.org/W2082967391","https://openalex.org/W2095377654","https://openalex.org/W2132205911","https://openalex.org/W2158001550","https://openalex.org/W2272957886","https://openalex.org/W2560185252","https://openalex.org/W2604120189","https://openalex.org/W2895210058","https://openalex.org/W2899604627","https://openalex.org/W2911189325","https://openalex.org/W2964199994","https://openalex.org/W2965970896","https://openalex.org/W2972517494","https://openalex.org/W3008561560","https://openalex.org/W3023700315","https://openalex.org/W3098802639","https://openalex.org/W3100993965","https://openalex.org/W3117575391","https://openalex.org/W3132625589","https://openalex.org/W4240416043","https://openalex.org/W4246066915","https://openalex.org/W4292157310","https://openalex.org/W6607652939","https://openalex.org/W6640015359","https://openalex.org/W6640308425","https://openalex.org/W6679317373","https://openalex.org/W6683673261","https://openalex.org/W6785760900"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Multiple":[0],"kernel":[1,12,50,66,88,93,148],"alignment":[2],"(MKA)":[3],"maximization":[4,70,82],"criterion":[5],"has":[6],"been":[7,19],"widely":[8],"applied":[9],"into":[10,73],"multiple":[11,147],"clustering":[13,25,72,79,129,135,143],"(MKC)":[14],"and":[15,68,90,117,153,168],"many":[16],"variants":[17],"have":[18],"recently":[20],"developed.":[21],"Though":[22],"demonstrating":[23],"superior":[24],"performance":[26,144],"in":[27,96],"various":[28],"applications,":[29],"it":[30],"is":[31],"observed":[32],"that":[33],"none":[34],"of":[35,46,64,80,86,159],"them":[36],"can":[37],"effectively":[38],"handle":[39],"incomplete":[40,65,87],"MKC,":[41],"where":[42],"parts":[43],"or":[44],"all":[45],"the":[47,62,84,91,101,115,124,134,142,154,157],"pre-specified":[48],"base":[49],"matrices":[51,67,94],"are":[52,95,107,120,170],"incomplete.":[53],"To":[54],"address":[55],"this":[56,113],"issue,":[57],"we":[58,139],"propose":[59],"to":[60,99,126],"integrate":[61],"imputation":[63,85,116],"MKA":[69,81],"for":[71],"a":[74],"unified":[75],"learning":[76,149],"framework.":[77],"The":[78],"guides":[83],"elements,":[89],"completed":[92],"turn":[97],"combined":[98],"conduct":[100],"subsequent":[102],"MKC.":[103],"These":[104],"two":[105],"procedures":[106],"alternately":[108],"performed":[109],"until":[110],"convergence.":[111],"By":[112],"way,":[114],"MKC":[118],"processes":[119],"seamlessly":[121],"connected,":[122],"with":[123],"aim":[125],"achieve":[127],"better":[128],"performance.":[130],"Besides":[131],"theoretically":[132],"analyzing":[133],"generalization":[136],"error":[137],"bound,":[138],"empirically":[140],"evaluate":[141],"on":[145],"several":[146],"(MKL)":[150],"benchmark":[151],"datasets,":[152],"results":[155],"indicate":[156],"superiority":[158],"our":[160],"algorithm":[161],"over":[162],"existing":[163],"state-of-the-art":[164],"counterparts.":[165],"Our":[166],"codes":[167],"data":[169],"publicly":[171],"available":[172],"at":[173],"https://xinwangliu.github.io/.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}