{"id":"https://openalex.org/W3161291243","doi":"https://doi.org/10.1109/icassp39728.2021.9413355","title":"Label-Guided Dictionary Pair Learning for ECG Biometric Recognition","display_name":"Label-Guided Dictionary Pair Learning for ECG Biometric Recognition","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161291243","doi":"https://doi.org/10.1109/icassp39728.2021.9413355","mag":"3161291243"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5067264507","display_name":"Mingzhu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingzhu Ma","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036183903","display_name":"Gongping Yang","orcid":"https://orcid.org/0000-0001-7637-2749"},"institutions":[{"id":"https://openalex.org/I4210136682","display_name":"Heze University","ror":"https://ror.org/041zje040","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136682"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongping Yang","raw_affiliation_strings":["School of Computer, Heze University, Heze, China","School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Heze University, Heze, China","institution_ids":["https://openalex.org/I4210136682"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101413569","display_name":"Kuikui Wang","orcid":"https://orcid.org/0000-0002-0790-0736"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuikui Wang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103257748","display_name":"Yuwen Huang","orcid":"https://orcid.org/0000-0003-0452-4947"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210136682","display_name":"Heze University","ror":"https://ror.org/041zje040","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Huang","raw_affiliation_strings":["School of Computer, Heze University, Heze, China","School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Heze University, Heze, China","institution_ids":["https://openalex.org/I4210136682"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672586","display_name":"Yilong Yin","orcid":"https://orcid.org/0009-0002-2596-0940"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067264507"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09285943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2555","last_page":"2559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9921000003814697,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8397283554077148},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.8313688039779663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731285572052002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400043964385986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6311097145080566},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5327689051628113},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.49229538440704346},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46614399552345276},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4449112117290497},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38482028245925903}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8397283554077148},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.8313688039779663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731285572052002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400043964385986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6311097145080566},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5327689051628113},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.49229538440704346},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46614399552345276},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4449112117290497},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38482028245925903},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320334063","display_name":"National Natural Science Foundation of China-Xinjiang Joint Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W633594338","https://openalex.org/W1655694665","https://openalex.org/W2002422013","https://openalex.org/W2006873322","https://openalex.org/W2018328737","https://openalex.org/W2044070933","https://openalex.org/W2095409369","https://openalex.org/W2134075215","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2164053975","https://openalex.org/W2166371785","https://openalex.org/W2484257046","https://openalex.org/W2496047471","https://openalex.org/W2535940264","https://openalex.org/W2704923930","https://openalex.org/W2766529714","https://openalex.org/W2795302640","https://openalex.org/W2897351599","https://openalex.org/W2941820175","https://openalex.org/W2947334163","https://openalex.org/W2957666764","https://openalex.org/W2989554011","https://openalex.org/W3002557587","https://openalex.org/W3016596740","https://openalex.org/W3039059115","https://openalex.org/W6684213969","https://openalex.org/W6745770828"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1778286912","https://openalex.org/W1987225540","https://openalex.org/W2099321050","https://openalex.org/W2116933539","https://openalex.org/W4245251483","https://openalex.org/W2008821896","https://openalex.org/W1992008660","https://openalex.org/W2034957211","https://openalex.org/W1982147402"],"abstract_inverted_index":{"ECG":[0,26,132],"biometric":[1,27,133],"recognition":[2,134],"has":[3],"received":[4],"plenty":[5],"of":[6,82,105],"attention":[7],"in":[8,25],"biometrics":[9],"area.":[10],"In":[11],"recent":[12],"years,":[13],"various":[14],"classical":[15],"sparse":[16],"representation":[17,45,77],"and":[18,70,78,89],"dictionary":[19,61,69,72,87,94,99],"learning":[20,100],"methods":[21],"have":[22],"been":[23],"utilized":[24],"recognition.":[28],"However,":[29],"to":[30,42,65,110],"produce":[31],"better":[32,127],"classification":[33],"results,":[34],"l":[35],"<inf":[36],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">P</inf>":[38],"-norm":[39],"is":[40,107],"used":[41],"regularize":[43],"the":[44,98,112],"coefficients,":[46],"which":[47,74],"undoubtedly":[48],"brings":[49],"time":[50],"cost":[51],"problem.":[52],"To":[53],"overcome":[54],"this":[55],"limitation,":[56],"our":[57,123],"method,":[58],"namely":[59],"label-guided":[60],"pair":[62],"learning,":[63],"aims":[64],"learn":[66],"a":[67],"projective":[68,93],"reconstructed":[71],"jointly,":[73],"achieves":[75],"signal":[76],"reconstruction":[79],"simultaneously.":[80],"Introduction":[81],"label":[83],"information":[84],"with":[85,130],"each":[86],"item":[88],"Fisher-like":[90],"regularization":[91],"on":[92,118],"enforce":[95],"discriminability":[96],"during":[97],"process.":[101],"Alternating":[102],"direction":[103],"method":[104,124],"multipliers":[106],"then":[108],"exploited":[109],"optimize":[111],"corresponding":[113],"objective":[114],"function.":[115],"Extensive":[116],"experiments":[117],"two":[119],"databases":[120],"demonstrate":[121],"that":[122],"can":[125],"achieve":[126],"performance":[128],"compared":[129],"state-of-the-art":[131],"methods.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}