{"id":"https://openalex.org/W4416183719","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223278","title":"Rank-Based Unsupervised Similarity Learning: Framework and Applications","display_name":"Rank-Based Unsupervised Similarity Learning: Framework and Applications","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4416183719","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223278"},"language":null,"primary_location":{"id":"doi:10.1109/sibgrapi67909.2025.11223278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5120596636","display_name":"Italo De Matos Saldanha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Italo De Matos Saldanha","raw_affiliation_strings":["Institute of Mathematics and Computer Sciences (ICMC), University of S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Sciences (ICMC), University of S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025264509","display_name":"Vinicius Atsushi Sato Kawai","orcid":null},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vinicius Atsushi Sato Kawai","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027947763","display_name":"Bionda Rozin","orcid":"https://orcid.org/0000-0002-5993-6570"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bionda Rozin","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130819","display_name":"Gustavo Rosseto Let\u00edcio","orcid":"https://orcid.org/0009-0008-3715-8991"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Rosseto Leticio","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039558288","display_name":"Lucas Pascotti Valem","orcid":"https://orcid.org/0000-0002-3833-9072"},"institutions":[{"id":"https://openalex.org/I4210092357","display_name":"Institute of Mathematics and Computer Science","ror":"https://ror.org/00fy4at53","country_code":"MD","type":"facility","lineage":["https://openalex.org/I112090838","https://openalex.org/I4210092357"]}],"countries":["MD"],"is_corresponding":false,"raw_author_name":"Lucas Pascotti Valem","raw_affiliation_strings":["Institute of Mathematics and Computer Sciences (ICMC), University of S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Sciences (ICMC), University of S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,Brazil","institution_ids":["https://openalex.org/I4210092357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078511671","display_name":"Daniel Carlos Guimar\u00e3es Pedronette","orcid":"https://orcid.org/0000-0002-2867-4838"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel Carlos Guimar\u00e3es Pedronette","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),Department of Statistics, Applied Mathematics and Computing,Rio Claro,Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29818638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.4733000099658966,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.4733000099658966,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.0681999996304512,"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/T11448","display_name":"Face recognition and analysis","score":0.05649999901652336,"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/unsupervised-learning","display_name":"Unsupervised learning","score":0.608299970626831},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5615000128746033},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5515999794006348},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4505000114440918},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4099999964237213},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.396699994802475},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3824999928474426},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38100001215934753},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.37709999084472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105000019073486},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575000047683716},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43160000443458557},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.396699994802475},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.3222000002861023},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi67909.2025.11223278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W148730843","https://openalex.org/W1984701370","https://openalex.org/W2031076131","https://openalex.org/W2046712819","https://openalex.org/W2071864906","https://openalex.org/W2142992480","https://openalex.org/W2204750386","https://openalex.org/W2406212790","https://openalex.org/W2411700280","https://openalex.org/W2553312496","https://openalex.org/W2578874229","https://openalex.org/W2604652497","https://openalex.org/W2620198059","https://openalex.org/W2799712919","https://openalex.org/W2902859454","https://openalex.org/W2950816581","https://openalex.org/W2963740830","https://openalex.org/W3089108230","https://openalex.org/W3110185224","https://openalex.org/W3135685797","https://openalex.org/W3195296525","https://openalex.org/W4287367114","https://openalex.org/W4306393233","https://openalex.org/W4308233826","https://openalex.org/W4313201671","https://openalex.org/W4319300654","https://openalex.org/W4367060586","https://openalex.org/W4387969656","https://openalex.org/W4401067703","https://openalex.org/W4408111539"],"related_works":[],"abstract_inverted_index":{"Multimedia":[0],"data":[1],"collections":[2],"have":[3],"grown":[4],"exponentially":[5],"due":[6],"to":[7,52,159,165],"advances":[8],"in":[9,89],"acquisition":[10],"and":[11,35,73,81,92,103,120,127,133,149,151,162,172,176],"sharing":[12],"technologies,":[13],"creating":[14],"a":[15,94],"pressing":[16],"need":[17],"for":[18,100,155,174],"robust":[19],"similarity":[20,55,91,104],"learning":[21,56],"methods":[22,99,158],"that":[23,47,67],"do":[24],"not":[25],"depend":[26],"on":[27,44],"costly":[28],"annotations.":[29],"Deep":[30],"features":[31],"extracted":[32],"by":[33,60],"convolutional":[34],"transformer":[36],"networks":[37],"provide":[38],"powerful":[39],"embeddings,":[40],"but":[41],"often":[42],"lie":[43],"complex":[45],"manifolds":[46],"simple":[48],"pairwise":[49],"comparisons":[50],"fail":[51],"capture.":[53],"Unsupervised":[54,109],"addresses":[57],"this":[58],"gap":[59],"post-processing":[61],"these":[62,140],"embeddings":[63],"with":[64,115],"rank-based":[65,98,157],"strategies":[66],"leverage":[68],"the":[69,108,121,129,143],"ordering":[70],"of":[71,97,131,145],"neighbors":[72],"manifold":[74],"geometry":[75],"through":[76],"different":[77],"approaches,":[78],"e.g.,":[79],"graph":[80],"hypergraph":[82],"constructions.":[83],"This":[84],"paper":[85],"discusses":[86,107],"foundational":[87],"concepts":[88],"contextual":[90],"presents":[93],"comprehensive":[95],"overview":[96],"unsupervised":[101],"distance":[102],"learning.":[105],"It":[106],"Distance":[110],"Learning":[111],"Framework":[112],"(UDLF),":[113],"along":[114],"its":[116,177],"Python":[117],"wrapper,":[118],"pyUDLF,":[119],"web-based":[122],"interface":[123],"UDLFWeb,":[124],"which":[125],"automates":[126],"simplifies":[128],"processes":[130],"experimentation":[132],"result":[134],"visualization.":[135],"We":[136],"also":[137],"show":[138],"how":[139],"tools":[141,179],"enhance":[142],"effectiveness":[144],"image":[146],"retrieval,":[147],"classification,":[148],"clustering,":[150],"outline":[152],"future":[153],"directions":[154],"expanding":[156],"additional":[160],"modalities":[161],"scaling":[163],"them":[164],"large":[166],"datasets.":[167],"The":[168],"complete":[169],"source":[170],"code":[171],"documentation":[173],"UDLF":[175],"associated":[178],"are":[180],"publicly":[181],"available":[182],"at:":[183],"udlf.lucasvalem.com.":[184]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}
