{"id":"https://openalex.org/W1976611453","doi":"https://doi.org/10.1007/s10462-012-9369-4","title":"An overview of kernel alignment and its applications","display_name":"An overview of kernel alignment and its applications","publication_year":2012,"publication_date":"2012-11-07","ids":{"openalex":"https://openalex.org/W1976611453","doi":"https://doi.org/10.1007/s10462-012-9369-4","mag":"1976611453"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-012-9369-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-012-9369-4","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","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/A5113882147","display_name":"Tinghua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]},{"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":true,"raw_author_name":"Tinghua Wang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, 100871, China","School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, China","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"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":"Dongyan Zhao","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108581872","display_name":"Shengfeng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengfeng Tian","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113882147"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119042"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":1.9562,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.87275294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"43","issue":"2","first_page":"179","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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/T10320","display_name":"Neural Networks and Applications","score":0.9869999885559082,"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/T12676","display_name":"Machine Learning and ELM","score":0.983299970626831,"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/tree-kernel","display_name":"Tree kernel","score":0.8045023679733276},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7544988393783569},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.6979793310165405},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.696612536907196},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.6678194999694824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626346111297607},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6369818449020386},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5664122700691223},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.5332581400871277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5332310795783997},{"id":"https://openalex.org/keywords/string-kernel","display_name":"String kernel","score":0.528915286064148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5256677269935608},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.46474024653434753},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.455777645111084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19871193170547485},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12909448146820068}],"concepts":[{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.8045023679733276},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7544988393783569},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.6979793310165405},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.696612536907196},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.6678194999694824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626346111297607},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6369818449020386},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5664122700691223},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.5332581400871277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5332310795783997},{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.528915286064148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5256677269935608},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.46474024653434753},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.455777645111084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19871193170547485},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12909448146820068},{"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:10.1007/s10462-012-9369-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-012-9369-4","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1503044060","https://openalex.org/W1510073064","https://openalex.org/W1518932425","https://openalex.org/W1579419425","https://openalex.org/W1920328734","https://openalex.org/W1971402309","https://openalex.org/W1975477163","https://openalex.org/W1979347607","https://openalex.org/W1999899096","https://openalex.org/W2005447957","https://openalex.org/W2005752251","https://openalex.org/W2015311866","https://openalex.org/W2022772671","https://openalex.org/W2037984448","https://openalex.org/W2057812517","https://openalex.org/W2065897648","https://openalex.org/W2082988498","https://openalex.org/W2087178630","https://openalex.org/W2092483655","https://openalex.org/W2099680562","https://openalex.org/W2105121207","https://openalex.org/W2105842272","https://openalex.org/W2108710077","https://openalex.org/W2109743529","https://openalex.org/W2110841565","https://openalex.org/W2113448010","https://openalex.org/W2115521056","https://openalex.org/W2118286367","https://openalex.org/W2118670840","https://openalex.org/W2126090532","https://openalex.org/W2131154631","https://openalex.org/W2132549764","https://openalex.org/W2133864802","https://openalex.org/W2135996040","https://openalex.org/W2140389641","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2148603752","https://openalex.org/W2153138111","https://openalex.org/W2156652258","https://openalex.org/W2158001550","https://openalex.org/W2170356051","https://openalex.org/W2172000360","https://openalex.org/W2269732470","https://openalex.org/W3142838532"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W4291669689","https://openalex.org/W2130792056","https://openalex.org/W2041351400","https://openalex.org/W3100948281","https://openalex.org/W2574115973","https://openalex.org/W2963372274","https://openalex.org/W4300176214","https://openalex.org/W2294612767","https://openalex.org/W2141199622"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
