{"id":"https://openalex.org/W2046788756","doi":"https://doi.org/10.1109/mlsp.2013.6661917","title":"Structured sparsity using backwards elimination for Automatic Music Transcription","display_name":"Structured sparsity using backwards elimination for Automatic Music Transcription","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2046788756","doi":"https://doi.org/10.1109/mlsp.2013.6661917","mag":"2046788756"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2013.6661917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2013.6661917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/23410/1/O%27Hanlon%20Structured%20sparsity%20using%202013%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003197490","display_name":"Nicolas Keriven","orcid":"https://orcid.org/0000-0002-3846-8763"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nicolas Keriven","raw_affiliation_strings":["CMAP Ecole polytechnique Route de Saclay, Palaiseau, France","CMAP, Ecole Polytech., Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"CMAP Ecole polytechnique Route de Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I142476485"]},{"raw_affiliation_string":"CMAP, Ecole Polytech., Palaiseau, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I142476485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005665018","display_name":"Ken O\u2019Hanlon","orcid":"https://orcid.org/0000-0001-8562-6608"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ken O'Hanlon","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London Mile End Road, London, UK","Centre for Digital Music, Queen Mary Univ. of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London Mile End Road, London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary Univ. of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066967599","display_name":"Mark D. Plumbley","orcid":"https://orcid.org/0000-0002-9708-1075"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark D. Plumbley","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London Mile End Road, London, UK","Centre for Digital Music, Queen Mary Univ. of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London Mile End Road, London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary Univ. of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003197490"],"corresponding_institution_ids":["https://openalex.org/I142476485","https://openalex.org/I29607241"],"apc_list":null,"apc_paid":null,"fwci":1.6029,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83711217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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/T10860","display_name":"Speech and Audio Processing","score":0.9965999722480774,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9684000015258789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.816693902015686},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6678550243377686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649959683418274},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.6024074554443359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4256831109523773},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4201415777206421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40051257610321045},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3403916358947754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32876133918762207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32043346762657166},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.15851867198944092}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.816693902015686},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6678550243377686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649959683418274},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.6024074554443359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4256831109523773},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4201415777206421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40051257610321045},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3403916358947754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32876133918762207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32043346762657166},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.15851867198944092},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mlsp.2013.6661917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2013.6661917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/23410","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/23410","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/23410/1/O%27Hanlon%20Structured%20sparsity%20using%202013%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:alma.44SUR_INST:11138845370002346","is_oa":false,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&amp;SrcApp=PARTNER_APP&amp;SrcAuth=LinksAMR&amp;KeyUT=WOS:000345844100023&amp;DestLinkType=FullRecord&amp;DestApp=ALL_WOS&amp;UsrCustomerID=11d2a86992e85fb529977dad66a846d5","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"event"},{"id":"pmh:oai:epubs.surrey.ac.uk:838869","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/838869/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/23410","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/23410","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/23410/1/O%27Hanlon%20Structured%20sparsity%20using%202013%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6723506329","display_name":null,"funder_award_id":"EP/G007144/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320311061","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2046788756.pdf","grobid_xml":"https://content.openalex.org/works/W2046788756.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W144105221","https://openalex.org/W1969962483","https://openalex.org/W1986931325","https://openalex.org/W2081660675","https://openalex.org/W2086413318","https://openalex.org/W2090230045","https://openalex.org/W2095725796","https://openalex.org/W2096482524","https://openalex.org/W2098098075","https://openalex.org/W2110007838","https://openalex.org/W2110647188","https://openalex.org/W2114595593","https://openalex.org/W2121168254","https://openalex.org/W2124340044","https://openalex.org/W2127884536","https://openalex.org/W2128659236","https://openalex.org/W2135029798","https://openalex.org/W2135046866","https://openalex.org/W2135780853","https://openalex.org/W2138019504","https://openalex.org/W2140304104","https://openalex.org/W2294599939","https://openalex.org/W2333836441","https://openalex.org/W4236026600","https://openalex.org/W6605910177","https://openalex.org/W6677874747","https://openalex.org/W6680012447","https://openalex.org/W6697018033"],"related_works":["https://openalex.org/W1974198688","https://openalex.org/W2134343866","https://openalex.org/W1973211400","https://openalex.org/W3215967011","https://openalex.org/W2339165443","https://openalex.org/W1815093352","https://openalex.org/W2114913122","https://openalex.org/W2949400653","https://openalex.org/W2119375127","https://openalex.org/W1574575852"],"abstract_inverted_index":{"Musical":[0],"signals":[1],"can":[2,92],"be":[3,93],"thought":[4],"of":[5,22,57,83,97],"as":[6,29],"being":[7],"sparse":[8,66,76],"and":[9,19,34],"structured,":[10],"with":[11,72,89,120],"few":[12],"elements":[13,24],"active":[14,23],"at":[15],"a":[16,58,73,108],"given":[17],"instant":[18],"temporal":[20],"continuity":[21],"observed.":[25],"Greedy":[26],"algorithms":[27],"such":[28],"Orthogonal":[30],"Matching":[31],"Pursuit":[32],"(OMP),":[33],"structured":[35],"variants,":[36],"have":[37,49],"previously":[38],"been":[39,50],"proposed":[40,74],"for":[41,68],"Automatic":[42],"Music":[43],"Transcription":[44],"(AMT),":[45],"however":[46],"some":[47],"problems":[48],"noted.":[51],"Hence,":[52],"we":[53],"propose":[54],"the":[55,80,87],"use":[56,96],"backwards":[59],"elimination":[60],"strategy":[61],"in":[62,70],"order":[63],"to":[64,102,116],"perform":[65],"decompositions":[67],"AMT,":[69],"particular":[71],"alternative":[75],"cost":[77],"function.":[78],"However,":[79],"main":[81],"advantage":[82],"this":[84],"approach":[85],"is":[86,100,114],"ease":[88],"which":[90],"structure":[91],"incorporated.":[94],"The":[95],"group":[98],"sparsity":[99],"shown":[101],"give":[103],"increased":[104],"AMT":[105],"performance,":[106],"while":[107],"molecular":[109],"method":[110],"incorporating":[111],"onset":[112],"information":[113],"seen":[115],"provide":[117],"further":[118],"improvements":[119],"little":[121],"computational":[122],"effort.":[123]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
