{"id":"https://openalex.org/W2118319513","doi":"https://doi.org/10.1109/tit.2011.2158880","title":"Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms","display_name":"Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2118319513","doi":"https://doi.org/10.1109/tit.2011.2158880","mag":"2118319513"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2011.2158880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2011.2158880","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5113591402","display_name":"Zakria Hussain","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zakria Hussain","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047980012","display_name":"John Shawe\u2010Taylor","orcid":"https://orcid.org/0000-0002-2030-0073"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Shawe-Taylor","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109884841","display_name":"David R. Hardoon","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David R. Hardoon","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090060572","display_name":"Charanpal Dhanjal","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Charanpal Dhanjal","raw_affiliation_strings":["Department of Image and Signal Processing, Telecom ParisTech, Paris, France","School of Electronics and Computer Science, University of Southampton, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image and Signal Processing, Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5645,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82924639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"8","first_page":"5326","last_page":"5341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9973000288009644,"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/matching-pursuit","display_name":"Matching pursuit","score":0.7943403720855713},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.655203104019165},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.619418203830719},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6172366738319397},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.5931117534637451},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.558189868927002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5330274105072021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49189186096191406},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4902704060077667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4813588261604309},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4763094186782837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46957892179489136},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.44837862253189087},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.43668490648269653},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4289359450340271},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.42363452911376953},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.415554404258728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38005921244621277},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.2821986973285675},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16367873549461365},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12133929133415222}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7943403720855713},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.655203104019165},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.619418203830719},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6172366738319397},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.5931117534637451},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.558189868927002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5330274105072021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49189186096191406},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4902704060077667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4813588261604309},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4763094186782837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46957892179489136},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.44837862253189087},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.43668490648269653},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4289359450340271},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.42363452911376953},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.415554404258728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38005921244621277},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2821986973285675},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16367873549461365},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12133929133415222},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tit.2011.2158880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2011.2158880","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1336818","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1336818/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON INFORMATION THEORY , 57 (8) pp. 5326-5341. (2011)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W65382156","https://openalex.org/W201489578","https://openalex.org/W1510073064","https://openalex.org/W1551209770","https://openalex.org/W1604938182","https://openalex.org/W1658064490","https://openalex.org/W1986931325","https://openalex.org/W2014384147","https://openalex.org/W2028781966","https://openalex.org/W2029538739","https://openalex.org/W2063368770","https://openalex.org/W2080815943","https://openalex.org/W2084812512","https://openalex.org/W2097323375","https://openalex.org/W2100235303","https://openalex.org/W2111579412","https://openalex.org/W2112545207","https://openalex.org/W2116541867","https://openalex.org/W2124101779","https://openalex.org/W2124623336","https://openalex.org/W2128659236","https://openalex.org/W2129638195","https://openalex.org/W2129809168","https://openalex.org/W2130055251","https://openalex.org/W2139095575","https://openalex.org/W2147656689","https://openalex.org/W2148603752","https://openalex.org/W2150434953","https://openalex.org/W2151693816","https://openalex.org/W2154332973","https://openalex.org/W2156146794","https://openalex.org/W2170207925","https://openalex.org/W2171270653","https://openalex.org/W2296616510","https://openalex.org/W2400898759","https://openalex.org/W2463959483","https://openalex.org/W2528514897","https://openalex.org/W2567216802","https://openalex.org/W2953256909","https://openalex.org/W2982720039","https://openalex.org/W2999905431","https://openalex.org/W3000459232","https://openalex.org/W3009557165","https://openalex.org/W3009784374","https://openalex.org/W3100743579","https://openalex.org/W3105849782","https://openalex.org/W3119651796","https://openalex.org/W4238284510","https://openalex.org/W4243551976","https://openalex.org/W4244569433","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W6632758585","https://openalex.org/W6676891323","https://openalex.org/W6684836731","https://openalex.org/W6728130134"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4245251483","https://openalex.org/W2116148865","https://openalex.org/W4372266926","https://openalex.org/W2366556501","https://openalex.org/W2119388857","https://openalex.org/W1998640076","https://openalex.org/W312892457","https://openalex.org/W2770396349"],"abstract_inverted_index":{"We":[0,22,76,125],"derive":[1],"generalization":[2,116],"error":[3],"(loss)":[4],"bounds":[5,87],"for":[6,34,88,131,136],"orthogonal":[7],"matching":[8,14,36,133],"pursuit":[9,15,37,134],"algorithms,":[10],"starting":[11],"with":[12,127],"kernel":[13,18,35,50,109],"and":[16,45,95,113],"sparse":[17,49,106],"principal":[19,51,89],"components":[20,52,90],"analysis.":[21],"propose":[23,103],"(to":[24],"the":[25,30,68,119],"best":[26],"of":[27,42,108],"our":[28],"knowledge)":[29],"first":[31],"loss":[32],"bound":[33,81,114],"using":[38,61,118],"a":[39,62,73,104,128],"novel":[40,105],"application":[41],"sample":[43,64],"compression":[44,65,74],"Vapnik-Chervonenkis":[46],"bounds.":[47],"For":[48],"analysis,":[53,66,91],"we":[54,102],"find":[55],"that":[56,79],"it":[57,70],"can":[58],"be":[59],"bounded":[60],"standard":[63],"as":[67],"subspace":[69],"constructs":[71],"is":[72,82],"scheme.":[75],"demonstrate":[77],"empirically":[78],"this":[80,100,123],"tighter":[83],"than":[84],"previous":[85],"state-of-the-art":[86],"which":[92],"use":[93],"global":[94],"local":[96],"Rademacher":[97],"complexities.":[98],"From":[99],"analysis":[101,112],"variant":[107],"canonical":[110],"correlation":[111],"its":[115],"performance":[117],"results":[120],"developed":[121],"in":[122],"paper.":[124],"conclude":[126],"general":[129],"technique":[130],"designing":[132],"algorithms":[135],"other":[137],"learning":[138],"domains.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
