{"id":"https://openalex.org/W4205615365","doi":"https://doi.org/10.23919/eusipco54536.2021.9616297","title":"Deep Ranking-Based DOA Tracking Algorithm","display_name":"Deep Ranking-Based DOA Tracking Algorithm","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4205615365","doi":"https://doi.org/10.23919/eusipco54536.2021.9616297"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616297","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616297","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5084760213","display_name":"Renana Opochinsky","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Renana Opochinsky","raw_affiliation_strings":["The Alexander Kofkin Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel"],"affiliations":[{"raw_affiliation_string":"The Alexander Kofkin Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045719865","display_name":"Gal Chechik","orcid":"https://orcid.org/0000-0001-9164-5303"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["GB","IL"],"is_corresponding":false,"raw_author_name":"Gal Chechik","raw_affiliation_strings":["Gonda brain research center, Bar-Ilan University, Ramat-Gan, Israel","NVIDIA Research"],"affiliations":[{"raw_affiliation_string":"Gonda brain research center, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"NVIDIA Research","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001052072","display_name":"Sharon Gannot","orcid":"https://orcid.org/0000-0002-2885-170X"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Sharon Gannot","raw_affiliation_strings":["The Alexander Kofkin Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel"],"affiliations":[{"raw_affiliation_string":"The Alexander Kofkin Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084760213"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":1.7215,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91307278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1020","last_page":"1024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095525860786438},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6765952706336975},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6603687405586243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6207944750785828},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5501644015312195},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5436408519744873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5266299843788147},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5222724080085754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48914530873298645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.476992666721344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1517251431941986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095525860786438},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6765952706336975},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6603687405586243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207944750785828},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5501644015312195},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5436408519744873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5266299843788147},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5222724080085754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48914530873298645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.476992666721344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1517251431941986},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616297","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616297","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6687006163","display_name":null,"funder_award_id":"871245","funder_id":"https://openalex.org/F4320335769","funder_display_name":"Graduate Research and Innovation Projects of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320335769","display_name":"Graduate Research and Innovation Projects of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1555217905","https://openalex.org/W2004140730","https://openalex.org/W2016637789","https://openalex.org/W2046317813","https://openalex.org/W2080392569","https://openalex.org/W2113638573","https://openalex.org/W2117678320","https://openalex.org/W2119539043","https://openalex.org/W2147665979","https://openalex.org/W2167179555","https://openalex.org/W2538968649","https://openalex.org/W2747238065","https://openalex.org/W2769321409","https://openalex.org/W2776890054","https://openalex.org/W2784289299","https://openalex.org/W2809543295","https://openalex.org/W2885219692","https://openalex.org/W2889065492","https://openalex.org/W2896584247","https://openalex.org/W2917254586","https://openalex.org/W2917294828","https://openalex.org/W2918745114","https://openalex.org/W2964342924","https://openalex.org/W2997989584","https://openalex.org/W3021261768","https://openalex.org/W3092118630","https://openalex.org/W3092632462","https://openalex.org/W3102937397","https://openalex.org/W3106506544","https://openalex.org/W3128877705","https://openalex.org/W3129910207","https://openalex.org/W3167256084","https://openalex.org/W4285716088"],"related_works":["https://openalex.org/W3006474185","https://openalex.org/W2483195039","https://openalex.org/W2611761074","https://openalex.org/W2281797687","https://openalex.org/W2358411735","https://openalex.org/W2048211457","https://openalex.org/W4250650723","https://openalex.org/W2358598243","https://openalex.org/W2331534598","https://openalex.org/W2023617077"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"present":[4],"a":[5,13,78,85,93,102,128,135],"weak-supervised":[6],"deep":[7,79,104],"neural":[8],"network-based":[9],"tracking":[10],"algorithm":[11],"for":[12,88,96],"moving":[14,136],"source.":[15,116],"A":[16,156],"triplet-loss":[17],"network":[18,126],"is":[19,33,74,121],"trained":[20],"with":[21,127],"instantaneous":[22],"spatial":[23,69,94],"features":[24,109],"to":[25,34,49,110,123,166],"estimate":[26],"the":[27,36,67,72,89,97,115,125,145,160,163],"time-varying":[28],"DOA.":[29],"The":[30],"core":[31],"idea":[32],"minimize":[35],"use":[37,77],"of":[38,114,131,134,141,162],"labeled":[39],"samples":[40,42,73,91,99],"(i.e.":[41],"which":[43,65,148],"are":[44,154],"accurately":[45],"localized,":[46],"and":[47,60,92,100,138],"difficult":[48],"acquire)":[50],"by":[51],"using":[52],"instead":[53],"partial":[54],"knowledge":[55],"drawn":[56],"from":[57,144],"an":[58,111],"unlabeled,":[59],"much":[61],"larger,":[62],"dataset":[63],"in":[64],"only":[66],"relative":[68],"ordering":[70],"between":[71],"known.":[75],"We":[76,117],"learning":[80],"architecture":[81],"that":[82,106,119,139],"stochastically":[83],"combines":[84],"triplet-ranking":[86],"loss":[87,95],"unlabeled":[90],"labelled":[98],"learns":[101],"nonlinear":[103],"embedding":[105],"maps":[107],"acoustic":[108],"azimuth":[112],"angle":[113],"show":[118],"it":[120],"unnecessary":[122],"train":[124],"large":[129],"number":[130],"random":[132],"trajectories":[133],"source,":[137],"triplets":[140],"static":[142],"sources":[143],"same":[146],"locus,":[147],"can":[149],"be":[150],"more":[151],"easily":[152],"acquired,":[153],"sufficient.":[155],"simulation":[157],"study":[158],"demonstrates":[159],"applicability":[161],"proposed":[164],"method":[165],"dynamic":[167],"problems.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}