{"id":"https://openalex.org/W3129908663","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533627","title":"Sequence Metric Learning as Synchronization of Recurrent Neural Networks","display_name":"Sequence Metric Learning as Synchronization of Recurrent Neural Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3129908663","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533627","mag":"3129908663"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03264242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029274115","display_name":"Paul Compagnon","orcid":"https://orcid.org/0000-0003-1503-1400"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Paul Compagnon","raw_affiliation_strings":["Orange Labs, Grenoble, France","Universit\u00e9 de Lyon, INSA Lyon, LIRIS UMR 5205 CNRS, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Universit\u00e9 de Lyon, INSA Lyon, LIRIS UMR 5205 CNRS, Lyon, France","institution_ids":["https://openalex.org/I4210155607","https://openalex.org/I100532134","https://openalex.org/I48430043","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016815138","display_name":"Gr\u00e9goire Lefebvre","orcid":"https://orcid.org/0000-0002-1325-3010"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregoire Lefebvre","raw_affiliation_strings":["Orange Labs, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065053376","display_name":"Stefan Duffner","orcid":"https://orcid.org/0000-0003-0374-3814"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stefan Duffner","raw_affiliation_strings":["Orange Labs, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038916044","display_name":"Christophe Garc\u00eda","orcid":"https://orcid.org/0000-0001-7997-9837"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Garcia","raw_affiliation_strings":["Orange Labs, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029274115"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I19370010","https://openalex.org/I4210155607","https://openalex.org/I48430043"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60369244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314517498016357},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.7233955264091492},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7107745409011841},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6434417366981506},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5858795046806335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.585422933101654},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5831166505813599},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5574053525924683},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5226483345031738},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44192302227020264},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.41230762004852295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39508676528930664},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3938402533531189},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1327180564403534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314517498016357},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.7233955264091492},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7107745409011841},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6434417366981506},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5858795046806335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.585422933101654},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5831166505813599},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5574053525924683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5226483345031738},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44192302227020264},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.41230762004852295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39508676528930664},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3938402533531189},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1327180564403534},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03264242v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03264242","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Neural Networks, Jul 2021, Glasgow (virtuelle ), United Kingdom. &#x27E8;10.1109/IJCNN52387.2021.9533627&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03264242v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03264242","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Neural Networks, Jul 2021, Glasgow (virtuelle ), United Kingdom. &#x27E8;10.1109/IJCNN52387.2021.9533627&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1815076433","https://openalex.org/W1924770834","https://openalex.org/W1970442252","https://openalex.org/W2030308994","https://openalex.org/W2039260438","https://openalex.org/W2054402839","https://openalex.org/W2058580716","https://openalex.org/W2064675550","https://openalex.org/W2065134213","https://openalex.org/W2080907923","https://openalex.org/W2087916841","https://openalex.org/W2093627340","https://openalex.org/W2096733369","https://openalex.org/W2106053110","https://openalex.org/W2107186780","https://openalex.org/W2107878631","https://openalex.org/W2109413227","https://openalex.org/W2109664155","https://openalex.org/W2114618801","https://openalex.org/W2117154949","https://openalex.org/W2127589108","https://openalex.org/W2128160875","https://openalex.org/W2130942839","https://openalex.org/W2157331557","https://openalex.org/W2182206537","https://openalex.org/W2470394683","https://openalex.org/W2502225121","https://openalex.org/W2508865106","https://openalex.org/W2555897561","https://openalex.org/W2565532197","https://openalex.org/W2736800318","https://openalex.org/W2752296309","https://openalex.org/W2883766876","https://openalex.org/W2888159112","https://openalex.org/W2889920518","https://openalex.org/W2898825205","https://openalex.org/W2899151654","https://openalex.org/W2899274674","https://openalex.org/W2899506323","https://openalex.org/W2936361916","https://openalex.org/W2945486723","https://openalex.org/W2949509589","https://openalex.org/W2963015328","https://openalex.org/W2963026686","https://openalex.org/W2963403868","https://openalex.org/W2963491281","https://openalex.org/W2970971581","https://openalex.org/W2971347383","https://openalex.org/W3099206234","https://openalex.org/W4289367376","https://openalex.org/W4295312788","https://openalex.org/W4385245566","https://openalex.org/W6605479355","https://openalex.org/W6638545294","https://openalex.org/W6640212811","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6679436768","https://openalex.org/W6685892152","https://openalex.org/W6720898849","https://openalex.org/W6725015247","https://openalex.org/W6730323794","https://openalex.org/W6731194115","https://openalex.org/W6739901393","https://openalex.org/W6755854289","https://openalex.org/W6762378375","https://openalex.org/W6764372619","https://openalex.org/W6766978945","https://openalex.org/W6767141205"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"Sequence":[0],"metric":[1,141],"learning":[2],"is":[3,26,103,133],"becoming":[4],"a":[5,76,82,101,110,120,139,150,160],"widely":[6],"adopted":[7],"approach":[8],"for":[9],"various":[10],"applications":[11],"dealing":[12],"with":[13,32,119],"sequential":[14],"multi-variate":[15,147],"data":[16],"such":[17,159],"as":[18],"activity":[19,178],"recognition":[20,179],"or":[21,36],"natural":[22],"language":[23],"processing.":[24],"It":[25],"most":[27],"of":[28,51,53,145,165],"the":[29,49,59,69,125,143,163,166],"time":[30],"tackled":[31],"sequence":[33],"alignment":[34],"approaches":[35],"representation":[37],"learning.":[38],"In":[39],"this":[40,46,117],"paper,":[41],"we":[42],"propose":[43,109],"to":[44,136,177,182],"study":[45],"subject":[47],"from":[48],"point":[50],"view":[52],"dynamical":[54,66,92],"system":[55],"theory":[56],"by":[57,65,75],"drawing":[58],"analogy":[60],"between":[61,71,105],"synchronized":[62],"trajectories":[63],"produced":[64],"systems":[67,93],"and":[68,142,180],"distance":[70],"similar":[72],"sequences":[73,148],"processed":[74],"siamese":[77,83,167],"recurrent":[78,84],"neural":[79,112],"network.":[80],"Indeed,":[81],"network":[85,113],"comprises":[86],"two":[87,90,173],"identical":[88,91],"sub-networks,":[89],"which":[94],"can":[95],"theoretically":[96],"achieve":[97],"complete":[98],"synchronization":[99,144],"if":[100],"coupling":[102,118,161],"introduced":[104],"them.":[106],"We":[107],"therefore":[108],"new":[111,121],"model":[114,132],"that":[115,157],"implements":[116],"gate":[122],"integrated":[123],"into":[124],"classical":[126],"Gated":[127,168],"Recurrent":[128,169],"Unit":[129,170],"architecture.":[130],"This":[131],"thus":[134],"able":[135],"simultaneously":[137],"learn":[138],"similarity":[140],"unaligned":[146],"in":[149],"weakly":[151],"supervised":[152],"way.":[153],"Our":[154],"experiments":[155],"show":[156],"introducing":[158],"improves":[162],"performance":[164],"architecture":[171],"on":[172],"datasets:":[174],"one":[175],"dedicated":[176],"another":[181],"transportation":[183],"recognition.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
