{"id":"https://openalex.org/W2792861137","doi":"https://doi.org/10.1109/mcg.2018.2881524","title":"Clustering-Driven Deep Embedding With Pairwise Constraints","display_name":"Clustering-Driven Deep Embedding With Pairwise Constraints","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2792861137","doi":"https://doi.org/10.1109/mcg.2018.2881524","mag":"2792861137","pmid":"https://pubmed.ncbi.nlm.nih.gov/31226057"},"language":"en","primary_location":{"id":"doi:10.1109/mcg.2018.2881524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2018.2881524","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.08457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048711507","display_name":"Sharon Fogel","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Sharon Fogel","raw_affiliation_strings":["Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043669878","display_name":"Hadar Averbuch\u2010Elor","orcid":"https://orcid.org/0000-0003-3476-0940"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hadar Averbuch-Elor","raw_affiliation_strings":["Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jacob Goldberger","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jacob Goldberger","raw_affiliation_strings":["Bar-Ilan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar-Ilan University","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1517,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74794569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"39","issue":"4","first_page":"16","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8371857404708862},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7546599507331848},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6878700256347656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6723171472549438},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5864078998565674},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5752928256988525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5590011477470398},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5254154205322266},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5132229328155518},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5036808848381042},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4943974018096924},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3855750560760498},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.33720695972442627}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8371857404708862},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7546599507331848},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6878700256347656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6723171472549438},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5864078998565674},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5752928256988525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5590011477470398},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5254154205322266},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5132229328155518},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5036808848381042},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4943974018096924},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3855750560760498},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.33720695972442627}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/mcg.2018.2881524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2018.2881524","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},{"id":"pmid:31226057","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31226057","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE computer graphics and applications","raw_type":null},{"id":"pmh:oai:arXiv.org:1803.08457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08457","pdf_url":"https://arxiv.org/pdf/1803.08457","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2792861137","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.08457.pdf","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_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.08457","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.08457","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_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.08457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08457","pdf_url":"https://arxiv.org/pdf/1803.08457","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2792861137.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W33635815","https://openalex.org/W151377110","https://openalex.org/W630242894","https://openalex.org/W830076066","https://openalex.org/W1501500081","https://openalex.org/W1546761409","https://openalex.org/W1673310716","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1977193486","https://openalex.org/W2003940193","https://openalex.org/W2012604613","https://openalex.org/W2019464758","https://openalex.org/W2022686119","https://openalex.org/W2099242680","https://openalex.org/W2117154949","https://openalex.org/W2127320480","https://openalex.org/W2141585940","https://openalex.org/W2149107824","https://openalex.org/W2150102617","https://openalex.org/W2153233077","https://openalex.org/W2155759509","https://openalex.org/W2159583439","https://openalex.org/W2160419739","https://openalex.org/W2164278908","https://openalex.org/W2165232124","https://openalex.org/W2169495281","https://openalex.org/W2190691619","https://openalex.org/W2205138079","https://openalex.org/W2405933695","https://openalex.org/W2549445985","https://openalex.org/W2608862709","https://openalex.org/W2734656015","https://openalex.org/W2750867444","https://openalex.org/W2912210943","https://openalex.org/W2949416428","https://openalex.org/W2949671016","https://openalex.org/W2950365520","https://openalex.org/W2950803263","https://openalex.org/W2951311921","https://openalex.org/W2962852342","https://openalex.org/W2964074409","https://openalex.org/W4292363360","https://openalex.org/W6637373629","https://openalex.org/W6640300118","https://openalex.org/W6675944832","https://openalex.org/W6681875376","https://openalex.org/W6682588271","https://openalex.org/W6685380521","https://openalex.org/W6687484953","https://openalex.org/W6740754901","https://openalex.org/W6758700058"],"related_works":["https://openalex.org/W3023092508","https://openalex.org/W3019927586","https://openalex.org/W3199287671","https://openalex.org/W2777922598","https://openalex.org/W1928593089","https://openalex.org/W2886787466","https://openalex.org/W3185277860","https://openalex.org/W1543645112","https://openalex.org/W2007742516","https://openalex.org/W1577058187","https://openalex.org/W2964368963","https://openalex.org/W2802254510","https://openalex.org/W1992905164","https://openalex.org/W2140515453","https://openalex.org/W2979154210","https://openalex.org/W3043476515","https://openalex.org/W1564729020","https://openalex.org/W2468198572","https://openalex.org/W1750305022","https://openalex.org/W2998345170"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"has":[2],"been":[3,26],"increasing":[4],"interest":[5],"to":[6,13,72,90,107,149],"leverage":[7],"the":[8,77,85,101,109,145],"competence":[9],"of":[10,69,111,128,141],"neural":[11,54],"networks":[12],"analyze":[14],"data.":[15],"In":[16,28],"particular,":[17],"new":[18,39],"clustering":[19,51,116],"methods":[20],"that":[21,66,115],"employ":[22],"deep":[23,43,147],"embeddings":[24],"have":[25],"presented.":[27],"this":[29,121],"paper,":[30],"we":[31],"depart":[32],"from":[33],"centroid-based":[34],"models":[35],"and":[36,143],"suggest":[37],"a":[38,53,58,63,92,125],"framework,":[40],"called":[41],"Clustering-driven":[42],"embedding":[44,60],"with":[45,87,104,124],"PAirwise":[46],"Constraints":[47],"(CPAC),":[48],"for":[49,138],"nonparametric":[50],"using":[52,120],"network.":[55],"We":[56,113,131],"present":[57,144],"clustering-driven":[59],"based":[61,98],"on":[62,99],"Siamese":[64],"network":[65],"encourages":[67],"pairs":[68,89],"data":[70,142],"points":[71],"output":[73],"similar":[74],"representations":[75],"in":[76],"latent":[78],"space.":[79],"Our":[80,95],"pair-based":[81],"model":[82],"allows":[83],"augmenting":[84],"information":[86],"labeled":[88],"constitute":[91],"semi-supervised":[93],"framework.":[94],"approach":[96],"is":[97,136],"analyzing":[100],"losses":[102],"associated":[103],"each":[105],"pair":[106],"refine":[108],"set":[110],"constraints.":[112],"show":[114],"performance":[117],"increases":[118],"when":[119],"scheme,":[122],"even":[123],"limited":[126],"amount":[127],"user":[129],"queries.":[130],"demonstrate":[132],"how":[133],"our":[134],"architecture":[135],"adapted":[137],"various":[139],"types":[140],"first":[146],"framework":[148],"cluster":[150],"three-dimensional":[151],"(3-D)":[152],"shapes.":[153]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}