{"id":"https://openalex.org/W4399890418","doi":"https://doi.org/10.1007/s10032-024-00482-x","title":"Evaluating learned feature aggregators for writer retrieval","display_name":"Evaluating learned feature aggregators for writer retrieval","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4399890418","doi":"https://doi.org/10.1007/s10032-024-00482-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10032-024-00482-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10032-024-00482-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-024-00482-x.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10032-024-00482-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015218576","display_name":"Alexander Mattick","orcid":"https://orcid.org/0000-0001-7805-199X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Mattick","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063384241","display_name":"Martin Mayr","orcid":"https://orcid.org/0000-0002-3706-285X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Mayr","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066134818","display_name":"Mathias Seuret","orcid":"https://orcid.org/0000-0001-9153-1031"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Seuret","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062481511","display_name":"Florian Kordon","orcid":"https://orcid.org/0000-0003-1240-5809"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Kordon","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023518578","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-4196-0289"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087093169","display_name":"Vincent Christlein","orcid":"https://orcid.org/0000-0003-0455-3799"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vincent Christlein","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015218576"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.3039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61946898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"27","issue":"3","first_page":"265","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7660260796546936},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.646436870098114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926306843757629},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5790752172470093},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4511595666408539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660260796546936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.646436870098114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926306843757629},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5790752172470093},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4511595666408539},{"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":1,"locations":[{"id":"doi:10.1007/s10032-024-00482-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10032-024-00482-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-024-00482-x.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10032-024-00482-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10032-024-00482-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-024-00482-x.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320873","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399890418.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1997828165","https://openalex.org/W2005750530","https://openalex.org/W2012592962","https://openalex.org/W2023933845","https://openalex.org/W2111385843","https://openalex.org/W2120987116","https://openalex.org/W2170737087","https://openalex.org/W2194775991","https://openalex.org/W2520774990","https://openalex.org/W2527189503","https://openalex.org/W2529897829","https://openalex.org/W2787345062","https://openalex.org/W2951019013","https://openalex.org/W2963272834","https://openalex.org/W3022711476","https://openalex.org/W3109684201","https://openalex.org/W4285268984","https://openalex.org/W4313120827","https://openalex.org/W4321609434","https://openalex.org/W4385990952","https://openalex.org/W4392903979","https://openalex.org/W4393629277","https://openalex.org/W6600182862","https://openalex.org/W6601630192","https://openalex.org/W6605755270","https://openalex.org/W6607167723","https://openalex.org/W6743235451","https://openalex.org/W6828894009"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Abstract":[0],"Transformers":[1],"have":[2,84],"emerged":[3],"as":[4,38,75],"the":[5,34,42,49,53,61,70,94,108,115,128,139,145],"leading":[6],"methods":[7],"in":[8,27,41,78,98,110,132,144,159],"natural":[9],"language":[10],"processing,":[11],"computer":[12],"vision,":[13],"and":[14,25,91,113,150,157],"multi-modal":[15],"applications":[16],"due":[17],"to":[18,21,120,138],"their":[19,122],"ability":[20],"capture":[22],"complex":[23],"relationships":[24],"dependencies":[26],"data.":[28],"In":[29],"this":[30,99,111,133,160],"study,":[31],"we":[32,83],"explore":[33],"potential":[35],"of":[36,44,51,55,72,96,130,142,147],"transformers":[37,74,97,131],"feature":[39,76],"aggregators":[40,77],"context":[43],"patch-based":[45,79],"writer":[46,56,80,148],"retrieval,":[47],"with":[48,86],"objective":[50],"improving":[52],"quality":[54],"retrieval":[57,149],"by":[58],"effectively":[59],"summarizing":[60],"relevant":[62],"features":[63],"from":[64],"image":[65],"patches.":[66],"Our":[67],"investigation":[68],"underscores":[69],"complexity":[71],"leveraging":[73],"retrieval.":[81],"While":[82],"experimented":[85],"various":[87],"model":[88],"configurations,":[89],"augmentations,":[90],"learning":[92],"objectives,":[93],"performance":[95],"task":[100],"has":[101],"room":[102],"for":[103,117,154],"improvement.":[104],"This":[105],"observation":[106],"highlights":[107],"challenges":[109],"domain":[112],"emphasizes":[114],"need":[116],"further":[118],"research":[119,156],"enhance":[121],"effectiveness.":[123],"By":[124],"shedding":[125],"light":[126],"on":[127],"limitations":[129],"context,":[134],"our":[135],"study":[136],"contributes":[137],"growing":[140],"body":[141],"knowledge":[143],"field":[146],"provides":[151],"valuable":[152],"insights":[153],"future":[155],"development":[158],"area.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}