{"id":"https://openalex.org/W2560185252","doi":"https://doi.org/10.1109/tpami.2019.2892416","title":"Multiple Kernel k-means with Incomplete Kernels","display_name":"Multiple Kernel k-means with Incomplete Kernels","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2560185252","doi":"https://doi.org/10.1109/tpami.2019.2892416","mag":"2560185252","pmid":"https://pubmed.ncbi.nlm.nih.gov/30640600"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2892416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2892416","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6626696","any_repository_has_fulltext":true},"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":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523804","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0001-8894-1806"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112049979","display_name":"Xinzhong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]},{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhong Zhu","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China","Research Institute of Ningbo Cixing Co. Ltd, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"Research Institute of Ningbo Cixing Co. Ltd, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461526","display_name":"Miaomiao Li","orcid":"https://orcid.org/0000-0001-7678-687X"},"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":false,"raw_author_name":"Miaomiao Li","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"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":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065250332","display_name":"Tongliang Liu","orcid":"https://orcid.org/0000-0002-9640-6472"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tongliang Liu","raw_affiliation_strings":["Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre, School of Information Technologies, University of Sydney, Darlington, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre, School of Information Technologies, University of Sydney, Darlington, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091841504","display_name":"Marius Kloft","orcid":"https://orcid.org/0000-0001-6829-3725"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Marius Kloft","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t Kaiserslautern, Kaiserslautern, Germany","Department of Computer Science, University of Southern California, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"Department of Computer Science, University of Southern California, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089193327","display_name":"Jianping Yin","orcid":"https://orcid.org/0000-0002-5474-4764"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Yin","raw_affiliation_strings":["Dongguan University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.3693,"has_fulltext":false,"cited_by_count":300,"citation_normalized_percentile":{"value":0.99312352,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"42","issue":"5","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9937999844551086,"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":0.9937999844551086,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9851999878883362,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.964900016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6784139275550842},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5877002477645874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5537883043289185},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5076135396957397},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.4841092824935913},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.48123717308044434},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.48076292872428894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4577668011188507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3624604344367981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31653842329978943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24740594625473022},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.2339344322681427},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15747272968292236},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.053616344928741455}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6784139275550842},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5877002477645874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5537883043289185},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5076135396957397},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.4841092824935913},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.48123717308044434},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.48076292872428894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4577668011188507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3624604344367981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31653842329978943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24740594625473022},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2339344322681427},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15747272968292236},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.053616344928741455}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2019.2892416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2892416","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:30640600","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30640600","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},{"id":"pmh:oai:pubmedcentral.nih.gov:6626696","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6626696","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Pattern Anal Mach Intell","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6626696","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6626696","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Pattern Anal Mach Intell","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1012296881","display_name":null,"funder_award_id":"61701451","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1520354424","display_name":null,"funder_award_id":"R01 AG041721","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G6104236839","display_name":null,"funder_award_id":"61403405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G700737026","display_name":null,"funder_award_id":"61672528","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"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W53387266","https://openalex.org/W1520757484","https://openalex.org/W1536302525","https://openalex.org/W1538422756","https://openalex.org/W1879834137","https://openalex.org/W1914219707","https://openalex.org/W1920328734","https://openalex.org/W1937059634","https://openalex.org/W2035979693","https://openalex.org/W2082967391","https://openalex.org/W2092403294","https://openalex.org/W2128221272","https://openalex.org/W2132205911","https://openalex.org/W2132914434","https://openalex.org/W2163463863","https://openalex.org/W2167349346","https://openalex.org/W2168901348","https://openalex.org/W2181159407","https://openalex.org/W2223051473","https://openalex.org/W2272957886","https://openalex.org/W2528144785","https://openalex.org/W2551492216","https://openalex.org/W2572663323","https://openalex.org/W2575920881","https://openalex.org/W2604120189","https://openalex.org/W2604723872","https://openalex.org/W2622869899","https://openalex.org/W2893830906","https://openalex.org/W2899604627","https://openalex.org/W2904965361","https://openalex.org/W6631064309","https://openalex.org/W6631949078","https://openalex.org/W6640015359","https://openalex.org/W6640308425","https://openalex.org/W6679317373","https://openalex.org/W6685423869","https://openalex.org/W6730107233","https://openalex.org/W6731814672","https://openalex.org/W6731815755","https://openalex.org/W6735994599"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2393746448","https://openalex.org/W2512565647","https://openalex.org/W2127229869","https://openalex.org/W2071590642","https://openalex.org/W2001772920","https://openalex.org/W2905418897","https://openalex.org/W2398887903","https://openalex.org/W2027376491","https://openalex.org/W2121506664"],"abstract_inverted_index":{"Multiple":[0],"kernel":[1,12,34,56,71,89,97,122,133,152],"clustering":[2,16,79,90],"(MKC)":[3],"algorithms":[4,21,45,196,202],"optimally":[5],"combine":[6],"a":[7,62,81],"group":[8],"of":[9,32,95,179,222],"pre-specified":[10],"base":[11,33,121],"matrices":[13,35,57,134,153],"to":[14,46,68,105,138,154,165,192],"improve":[15,145],"performance.":[17],"However,":[18],"existing":[19,52,198],"MKC":[20,64],"cannot":[22],"efficiently":[23],"address":[24,47],"the":[25,69,93,126,167,176,180,194,208,218,223],"situation":[26],"where":[27,54],"some":[28],"rows":[29],"and":[30,61,78,135,207,220,227],"columns":[31],"are":[36,58,100,185],"absent.":[37],"This":[38],"paper":[39],"proposes":[40],"two":[41],"simple":[42],"yet":[43],"effective":[44],"this":[48,146],"issue.":[49],"Different":[50],"from":[51],"approaches":[53],"incomplete":[55,96,132,151],"first":[59,74],"imputed":[60,70],"standard":[63],"algorithm":[65,75,110,147,162],"is":[66,163],"applied":[67],"matrices,":[72,98],"our":[73],"integrates":[76],"imputation":[77,226],"into":[80],"unified":[82],"learning":[83],"procedure.":[84],"Specifically,":[85],"we":[86,143,173],"perform":[87],"multiple":[88],"directly":[91],"with":[92,197,213],"presence":[94],"which":[99],"treated":[101],"as":[102],"auxiliary":[103],"variables":[104],"be":[106,116],"jointly":[107],"optimized.":[108],"Our":[109,201],"does":[111],"not":[112],"require":[113],"that":[114],"there":[115],"at":[117],"least":[118],"one":[119],"complete":[120,156],"matrix":[123],"over":[124],"all":[125],"samples.":[127],"Also,":[128],"it":[129],"adaptively":[130],"imputes":[131],"combines":[136],"them":[137],"best":[139],"serve":[140],"clustering.":[141,228],"Moreover,":[142],"further":[144],"by":[148],"encouraging":[149],"these":[150],"mutually":[155],"each":[157],"other.":[158],"The":[159],"three-step":[160],"iterative":[161],"designed":[164],"solve":[166],"resultant":[168],"optimization":[169],"problems.":[170],"After":[171],"that,":[172],"theoretically":[174],"study":[175],"generalization":[177],"bound":[178],"proposed":[181,195,224],"algorithms.":[182],"Extensive":[183],"experiments":[184],"conducted":[186],"on":[187],"13":[188],"benchmark":[189],"data":[190],"sets":[191],"compare":[193],"imputation-based":[199],"methods.":[200],"consistently":[203],"achieve":[204],"superior":[205],"performance":[206],"improvement":[209],"becomes":[210],"more":[211],"significant":[212],"increasing":[214],"missing":[215],"ratio,":[216],"verifying":[217],"effectiveness":[219],"advantages":[221],"joint":[225]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":53},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}