{"id":"https://openalex.org/W2552077878","doi":"https://doi.org/10.1109/ijcnn.2016.7727538","title":"ELM based multiple kernel k-means with diversity-induced regularization","display_name":"ELM based multiple kernel k-means with diversity-induced regularization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2552077878","doi":"https://doi.org/10.1109/ijcnn.2016.7727538","mag":"2552077878"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5100753341","display_name":"Zhao Yang","orcid":"https://orcid.org/0000-0002-9951-5842"},"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":"Yang Zhao","raw_affiliation_strings":["National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051680867","display_name":"Yong Dou","orcid":"https://orcid.org/0000-0002-1256-8934"},"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":"Yong Dou","raw_affiliation_strings":["National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","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":["National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416750","display_name":"Teng Li","orcid":"https://orcid.org/0000-0003-0111-0108"},"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":"Teng Li","raw_affiliation_strings":["National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100753341"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79603831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"2699","last_page":"2705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10057","display_name":"Face and Expression Recognition","score":0.9896000027656555,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9822999835014343,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7199568152427673},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6850972175598145},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6789078712463379},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6570460200309753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154603362083435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5330366492271423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5230796933174133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3793792724609375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31494244933128357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21134880185127258}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7199568152427673},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6850972175598145},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6789078712463379},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6570460200309753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154603362083435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5330366492271423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5230796933174133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3793792724609375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31494244933128357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21134880185127258},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1907775068","https://openalex.org/W1986007546","https://openalex.org/W1993717606","https://openalex.org/W2031878488","https://openalex.org/W2035979693","https://openalex.org/W2039361386","https://openalex.org/W2040604977","https://openalex.org/W2056470375","https://openalex.org/W2081549451","https://openalex.org/W2097664646","https://openalex.org/W2101324110","https://openalex.org/W2109743529","https://openalex.org/W2110877857","https://openalex.org/W2125687218","https://openalex.org/W2125865219","https://openalex.org/W2126157959","https://openalex.org/W2132205911","https://openalex.org/W2134603844","https://openalex.org/W2140095548","https://openalex.org/W2154415691","https://openalex.org/W2157595416","https://openalex.org/W2159902206","https://openalex.org/W2165967751","https://openalex.org/W2291321038","https://openalex.org/W2528144785","https://openalex.org/W6675134712","https://openalex.org/W6676641035","https://openalex.org/W6678814708","https://openalex.org/W6682991666","https://openalex.org/W6696948706","https://openalex.org/W6727872839"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W2743832667","https://openalex.org/W1584764049"],"abstract_inverted_index":{"Multiple-kernel":[0],"k-means":[1],"(MKKM)":[2],"clustering":[3,7],"has":[4,56],"demonstrated":[5],"good":[6],"performance":[8,32],"by":[9,73,109],"combining":[10],"pre-specified":[11],"kernels.":[12],"In":[13],"this":[14,37],"paper,":[15],"we":[16,39],"argue":[17],"that":[18,115],"deep":[19],"relationships":[20],"within":[21],"data":[22,72],"and":[23,62,80],"the":[24,31,95,116],"complementary":[25,96],"information":[26,97],"among":[27,98],"them":[28],"can":[29],"improve":[30],"of":[33,60,77],"MKKM.":[34],"To":[35],"illustrate":[36],"idea,":[38],"propose":[40],"a":[41],"diversity-induced":[42,89],"MKKM":[43,86],"algorithm":[44,87],"with":[45,88],"extreme":[46],"learning":[47],"machine":[48],"(ELM)-based":[49],"feature":[50],"extracting":[51],"method.":[52],"First,":[53],"ELM,":[54],"which":[55],"randomly":[57],"chosen":[58],"weights":[59],"hidden":[61,78],"output":[63],"nodes,":[64],"is":[65,91],"applied":[66],"to":[67,93],"thoroughly":[68],"extract":[69],"features":[70],"from":[71,101],"generating":[74],"different":[75,82],"numbers":[76],"nodes":[79],"using":[81],"functions.":[83],"Second,":[84],"an":[85],"regularization":[90],"utilized":[92],"explore":[94],"kernels":[99],"constructed":[100],"features.":[102],"The":[103],"problem":[104],"could":[105],"be":[106],"solved":[107],"efficiently":[108],"alternating":[110],"optimization.":[111],"Experimental":[112],"results":[113],"demonstrate":[114],"proposed":[117],"method":[118],"outperforms":[119],"state-of-the-art":[120],"kernel":[121],"methods.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}