{"id":"https://openalex.org/W4386755188","doi":"https://doi.org/10.48550/arxiv.2309.06720","title":"Deep Attentive Time Warping","display_name":"Deep Attentive Time Warping","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386755188","doi":"https://doi.org/10.48550/arxiv.2309.06720"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2309.06720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2309.06720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000073881","display_name":"Shinnosuke Matsuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matsuo, Shinnosuke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036223449","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0000-0003-2816-1781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiaomeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087178718","display_name":"Gantugs Atarsaikhan","orcid":"https://orcid.org/0000-0002-4635-4256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atarsaikhan, Gantugs","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102267134","display_name":"Akisato Kimura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kimura, Akisato","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kashino, Kunio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081518382","display_name":"Brian Kenji Iwana","orcid":"https://orcid.org/0000-0002-5146-6818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iwana, Brian Kenji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051387162","display_name":"Seiichi Uchida","orcid":"https://orcid.org/0000-0001-8592-7566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uchida, Seiichi","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":65},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.999,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.999,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9923,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9646,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic Time Warping","score":0.95064545},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.84026486},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8228514},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.69801754}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.95064545},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.84026486},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8228514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077569},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.69801754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.665219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53706986},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3464774},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2309.06720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.06720","pdf_url":"http://arxiv.org/pdf/2309.06720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2309.06720","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2309.06720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.72}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W71572444","https://openalex.org/W2350336482","https://openalex.org/W2347413598","https://openalex.org/W2340348677","https://openalex.org/W2229352698","https://openalex.org/W2154472250","https://openalex.org/W2130799169","https://openalex.org/W2095618524","https://openalex.org/W1997383766","https://openalex.org/W1670332068"],"abstract_inverted_index":{"Similarity":[0],"measures":[1],"for":[2,8,53,85,113],"time":[3,9,16,39,55,72,95],"series":[4,10,96],"are":[5],"important":[6],"problems":[7],"classification.":[11],"To":[12],"handle":[13],"the":[14,60,64,109,114,130,136],"nonlinear":[15],"distortions,":[17],"Dynamic":[18],"Time":[19],"Warping":[20],"(DTW)":[21],"has":[22],"been":[23],"widely":[24],"used.":[25],"However,":[26],"DTW":[27,84,127,143],"is":[28,98],"not":[29],"learnable":[30,81],"and":[31,41,97,144],"suffers":[32],"from":[33],"a":[34,49],"trade-off":[35],"between":[36,93],"robustness":[37],"against":[38],"distortion":[40,77],"discriminative":[42,131],"power.":[43,132],"In":[44],"this":[45],"paper,":[46],"we":[47,58],"propose":[48,119],"neural":[50],"network":[51],"model":[52,88,125,141],"task-adaptive":[54],"warping.":[56],"Specifically,":[57],"use":[59],"attention":[61,66],"model,":[62,67],"called":[63],"bipartite":[65],"to":[68,107,120,128],"develop":[69],"an":[70],"explicit":[71],"warping":[73,112],"mechanism":[74],"with":[75],"greater":[76],"invariance.":[78],"Unlike":[79],"other":[80],"models":[82],"using":[83],"warping,":[86],"our":[87,124,140],"predicts":[89],"all":[90],"local":[91],"correspondences":[92],"two":[94],"trained":[99],"based":[100],"on":[101],"metric":[102],"learning,":[103],"which":[104],"enables":[105],"it":[106],"learn":[108],"optimal":[110],"data-dependent":[111],"target":[115],"task.":[116],"We":[117],"also":[118],"induce":[121],"pre-training":[122],"of":[123,139],"by":[126],"improve":[129],"Extensive":[133],"experiments":[134],"demonstrate":[135],"superior":[137],"effectiveness":[138],"over":[142],"its":[145],"state-of-the-art":[146],"performance":[147],"in":[148],"online":[149],"signature":[150],"verification.":[151]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4386755188","counts_by_year":[],"updated_date":"2025-04-14T06:35:39.895450","created_date":"2023-09-15"}