{"id":"https://openalex.org/W7129735125","doi":"https://doi.org/10.1109/icipw68931.2025.11385913","title":"Attention Mechanism In Randomized Time Warping","display_name":"Attention Mechanism In Randomized Time Warping","publication_year":2025,"publication_date":"2025-09-14","ids":{"openalex":"https://openalex.org/W7129735125","doi":"https://doi.org/10.1109/icipw68931.2025.11385913"},"language":null,"primary_location":{"id":"doi:10.1109/icipw68931.2025.11385913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11385913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","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/A5111028165","display_name":"Yutaro Hiraoka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125947","display_name":"Japan Research Institute","ror":"https://ror.org/02m5srn05","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210125947"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yutaro Hiraoka","raw_affiliation_strings":["The Japan Research Institute, Limited"],"affiliations":[{"raw_affiliation_string":"The Japan Research Institute, Limited","institution_ids":["https://openalex.org/I4210125947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101155051","display_name":"Kazuya Okamura","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Okamura","raw_affiliation_strings":["University of Tsukuba,Graduate School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba,Graduate School of Science and Technology","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077531011","display_name":"Kota SUTO","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Suto","raw_affiliation_strings":["University of Tsukuba,Graduate School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba,Graduate School of Science and Technology","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126228008","display_name":"Kazuhiro Fukui","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Fukui","raw_affiliation_strings":["University of Tsukuba,Tsukuba Institute for Advanced Research,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba,Tsukuba Institute for Advanced Research,Department of Computer Science","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111028165"],"corresponding_institution_ids":["https://openalex.org/I4210125947"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74781777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9894000291824341,"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":0.9894000291824341,"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":0.0008999999845400453,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/discriminative-model","display_name":"Discriminative model","score":0.6704999804496765},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6646999716758728},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.564300000667572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4041999876499176},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4009999930858612},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.39149999618530273}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6646999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5684999823570251},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47440001368522644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3887999951839447},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3522999882698059},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3131999969482422},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icipw68931.2025.11385913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11385913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7861186861991882,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1820849028","https://openalex.org/W2108598243","https://openalex.org/W2160888808","https://openalex.org/W2486791310","https://openalex.org/W2625366777","https://openalex.org/W2970589243","https://openalex.org/W3126721948","https://openalex.org/W3210279979","https://openalex.org/W4214612132","https://openalex.org/W4294647183","https://openalex.org/W4385245566"],"related_works":[],"abstract_inverted_index":{"This":[0,172],"paper":[1],"reveals":[2],"that":[3,34],"we":[4],"can":[5,104],"interpret":[6],"the":[7,41,52,87,96,112,126,159,165,169,186,191],"fundamental":[8],"function":[9],"of":[10,18,24,43,46,60,86,123,158,164,168,179],"Randomized":[11],"Time":[12,62],"Warping":[13,63],"(RTW)":[14],"as":[15,107,183],"a":[16,21,32,57,65,119,151,156],"type":[17],"self-attention":[19,30,108,147,170],"mechanism,":[20],"core":[22],"technology":[23],"Transformers":[25],"in":[26,134],"motion":[27],"recognition.":[28],"The":[29],"is":[31,56,155],"mechanism":[33],"enables":[35],"models":[36],"to":[37,91,176],"identify":[38],"and":[39,71],"weigh":[40],"importance":[42],"different":[44,135],"parts":[45],"an":[47,141,177],"input":[48,88,143,160],"sequential":[49,73,89,144,161],"pattern.":[50],"On":[51],"other":[53],"hand,":[54],"RTW":[55,77,137,180],"general":[58],"extension":[59],"Dynamic":[61],"(DTW),":[64],"technique":[66],"commonly":[67],"used":[68],"for":[69,79,83],"matching":[70],"comparing":[72],"patterns.":[74],"In":[75,110],"essence,":[76],"searches":[78],"optimal":[80],"contribution":[81,102],"weights":[82,103],"each":[84],"element":[85],"patterns":[90,115],"produce":[92],"discriminative":[93],"features.":[94],"Although":[95],"two":[97,113],"approaches":[98],"look":[99,116],"different,":[100],"these":[101],"be":[105],"interpreted":[106],"weights.":[109],"fact,":[111],"weight":[114],"similar,":[117],"producing":[118],"high":[120],"average":[121],"correlation":[122],"0.80":[124],"across":[125],"ten":[127],"smallest":[128],"canonical":[129],"angles.":[130],"However,":[131],"they":[132],"work":[133],"ways:":[136],"attention":[138],"operates":[139],"on":[140,149,190],"entire":[142],"pattern,":[145],"while":[146],"focuses":[148],"only":[150],"local":[152],"view":[153],"which":[154],"subset":[157],"pattern":[162],"because":[163],"computational":[166],"costs":[167],"matrix.":[171],"targeting":[173],"difference":[174],"leads":[175],"advantage":[178],"against":[181],"Transformer,":[182],"demonstrated":[184],"by":[185],"5%":[187],"performance":[188],"improvement":[189],"Something-Something":[192],"V2":[193],"dataset.":[194]},"counts_by_year":[],"updated_date":"2026-02-19T06:27:42.648592","created_date":"2026-02-18T00:00:00"}
