{"id":"https://openalex.org/W4226353302","doi":"https://doi.org/10.2352/ei.2022.34.11.hvei-189","title":"INDeeD: Identical and disparate feature decomposition from multi-label data","display_name":"INDeeD: Identical and disparate feature decomposition from multi-label data","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4226353302","doi":"https://doi.org/10.2352/ei.2022.34.11.hvei-189"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2022.34.11.hvei-189","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.11.hvei-189","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/11/HVEI-189","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/11/HVEI-189","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009513958","display_name":"Tserendorj Adiya","orcid":"https://orcid.org/0000-0002-7545-7238"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tserendorj Adiya","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Republic of KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Republic of KOREA","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101472509","display_name":"Seungkyu Lee","orcid":"https://orcid.org/0000-0002-9721-4093"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungkyu Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Republic of KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Republic of KOREA","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04275849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"11","first_page":"189","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5860377550125122},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5299972891807556},{"id":"https://openalex.org/keywords/disparate-impact","display_name":"Disparate impact","score":0.4678208529949188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4606395363807678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4276856780052185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39512962102890015},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16761371493339539},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12716245651245117}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5860377550125122},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5299972891807556},{"id":"https://openalex.org/C2776889015","wikidata":"https://www.wikidata.org/wiki/Q5282532","display_name":"Disparate impact","level":3,"score":0.4678208529949188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4606395363807678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4276856780052185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39512962102890015},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16761371493339539},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12716245651245117},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2778272461","wikidata":"https://www.wikidata.org/wiki/Q190752","display_name":"Supreme court","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/ei.2022.34.11.hvei-189","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.11.hvei-189","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/11/HVEI-189","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/ei.2022.34.11.hvei-189","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.11.hvei-189","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/11/HVEI-189","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226353302.pdf","grobid_xml":"https://content.openalex.org/works/W4226353302.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1941659294","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2339172597","https://openalex.org/W2518108298","https://openalex.org/W2519887557","https://openalex.org/W2734663976","https://openalex.org/W2746314669","https://openalex.org/W2749581528","https://openalex.org/W2767106145","https://openalex.org/W2884561390","https://openalex.org/W2921393178","https://openalex.org/W2932399282","https://openalex.org/W2962843773","https://openalex.org/W2963263347","https://openalex.org/W2963587345","https://openalex.org/W2964015378","https://openalex.org/W2969224942","https://openalex.org/W2982112268","https://openalex.org/W2990202188","https://openalex.org/W2993466051","https://openalex.org/W2996683351","https://openalex.org/W2997136715","https://openalex.org/W2998420437","https://openalex.org/W3015045227","https://openalex.org/W3035682985","https://openalex.org/W3043585785","https://openalex.org/W3095707208","https://openalex.org/W3108889257","https://openalex.org/W3118608800","https://openalex.org/W3120129399","https://openalex.org/W3138516171","https://openalex.org/W3163193160","https://openalex.org/W3180134609","https://openalex.org/W4214673031","https://openalex.org/W4288083516"],"related_works":["https://openalex.org/W2982233537","https://openalex.org/W2970216048","https://openalex.org/W2052253960","https://openalex.org/W2167955297","https://openalex.org/W2382607599","https://openalex.org/W2016461833","https://openalex.org/W3197541072","https://openalex.org/W2760085659","https://openalex.org/W376702462","https://openalex.org/W2147802381"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"technology":[2],"has":[3],"made":[4],"a":[5,89],"significant":[6],"improvement":[7],"in":[8,24,126],"image":[9],"recognition":[10],"performance.":[11],"Unlike":[12],"single-labeled":[13],"training":[14,26,88],"and":[15,46,71,95,105,114,136],"inference,":[16],"multi-labeled":[17],"classification":[18],"tasks":[19],"hardly":[20],"characterize":[21],"individual":[22,85,116],"label":[23,45,117],"the":[25,35,47,55,61,82,99,108,141],"of":[27,34,42,52,63,84,102,129,143],"deep":[28],"neural":[29],"networks":[30,48],"due":[31],"to":[32,112,139],"co-occurrence":[33,62],"labels.":[36],"Training":[37],"data":[38,78],"contains":[39],"few":[40],"samples":[41],"separated":[43],"single":[44],"learn":[49,81,115],"diverse":[50],"compositions":[51],"labels":[53,64],"from":[54,76],"data.":[56],"Contextual":[57],"bias":[58],"caused":[59],"by":[60],"disturbs":[65],"multi-label":[66,77],"classification.":[67],"We":[68,131],"propose":[69],"Identical":[70,94],"Disparate":[72,96],"Feature":[73],"Decomposition":[74],"(INDeeD)":[75],"that":[79],"explicitly":[80],"characteristics":[83],"label.":[86],"By":[87],"backbone":[90],"network":[91,109],"combined":[92],"with":[93],"blocks":[97],"on":[98],"instance":[100],"pairs":[101],"partially":[103],"common":[104],"contrastable":[106],"labels,":[107],"is":[110],"generalized":[111],"decompose":[113],"features.":[118],"Proposed":[119],"INDeeD":[120],"scheme":[121],"can":[122],"be":[123],"simply":[124],"incorporated":[125],"any":[127],"type":[128],"networks.":[130],"use":[132],"ML-MNIST,":[133],"ML-CIFAR-10,":[134],"VOC-2007,":[135],"MS-COCO":[137],"datasets":[138],"evaluate":[140],"performance":[142],"IN-DeeD":[144],"showing":[145],"improved":[146],"mAP":[147],"over":[148],"baseline.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
