{"id":"https://openalex.org/W4372260594","doi":"https://doi.org/10.1109/icassp49357.2023.10094715","title":"Reliable Cluster-Based Framework for Open Set Domain Adaptation","display_name":"Reliable Cluster-Based Framework for Open Set Domain Adaptation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260594","doi":"https://doi.org/10.1109/icassp49357.2023.10094715"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5037420974","display_name":"Xiu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiu Zheng","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047697172","display_name":"Yuan Huang","orcid":"https://orcid.org/0009-0001-5884-4850"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Huang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040258451","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0002-1042-6457"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037420974"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52335599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9699000120162964,"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/T12676","display_name":"Machine Learning and ELM","score":0.9401000142097473,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7134731411933899},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7076091766357422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943530440330505},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6571938991546631},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.609987735748291},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6043790578842163},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5448872447013855},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5015482902526855},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.48005780577659607},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46297237277030945},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4190112352371216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4045217037200928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3918931186199188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36293062567710876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277672827243805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15385720133781433},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06660634279251099}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7134731411933899},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7076091766357422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943530440330505},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6571938991546631},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.609987735748291},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6043790578842163},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5448872447013855},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5015482902526855},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.48005780577659607},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46297237277030945},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4190112352371216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4045217037200928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3918931186199188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36293062567710876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277672827243805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15385720133781433},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06660634279251099},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":39,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1861492603","https://openalex.org/W2125865219","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2766897166","https://openalex.org/W2779610669","https://openalex.org/W2786808285","https://openalex.org/W2798593490","https://openalex.org/W2948429981","https://openalex.org/W2949736877","https://openalex.org/W2963532621","https://openalex.org/W3001197829","https://openalex.org/W3022061250","https://openalex.org/W3034526587","https://openalex.org/W3035483366","https://openalex.org/W3035519852","https://openalex.org/W3097526063","https://openalex.org/W3102842772","https://openalex.org/W3137513727","https://openalex.org/W3149860822","https://openalex.org/W3177151237","https://openalex.org/W3201612248","https://openalex.org/W4214671648","https://openalex.org/W4221157614","https://openalex.org/W6637542466","https://openalex.org/W6637618735","https://openalex.org/W6639102338","https://openalex.org/W6678814708","https://openalex.org/W6687400500","https://openalex.org/W6746171285","https://openalex.org/W6773005947","https://openalex.org/W6777265123","https://openalex.org/W6780061525","https://openalex.org/W6791370643","https://openalex.org/W6801682309","https://openalex.org/W6810363422"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W1972035260","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W4292477917","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Existing":[0],"Domain":[1,28,62],"Adaptation":[2,29],"(DA)":[3],"has":[4],"been":[5,50],"able":[6],"to":[7,15,127],"transfer":[8],"knowledge":[9],"from":[10],"a":[11,23,66,106,124],"labeled":[12],"source":[13],"domain":[14,19,35,79,90],"an":[16],"unlabeled":[17],"target":[18,34,78,89],"nicely.":[20],"However,":[21,94],"in":[22],"more":[24],"complex":[25],"Open":[26],"Set":[27],"(OSDA)":[30],"setting":[31],"containing":[32],"unknown":[33,85],"categories,":[36],"previous":[37,147],"DA":[38],"methods":[39,48,59],"fail":[40],"or":[41],"even":[42],"negatively":[43],"transfer.":[44],"Recently,":[45],"various":[46],"OSDA":[47,136],"have":[49,65],"proposed":[51],"and":[52,118],"achieved":[53],"good":[54],"results.":[55],"Among":[56],"them,":[57],"cluster-based":[58,135],"such":[60],"as":[61,91,123],"Consensus":[63],"Clustering":[64],"higher":[67],"upper":[68],"boundary":[69],"because":[70],"they":[71],"mine":[72],"the":[73,77,84,88,95,101,129],"intrinsic":[74],"structure":[75],"of":[76,81,87,97,131],"instead":[80],"treating":[82],"all":[83],"classes":[86],"one":[92],"category.":[93],"impact":[96,130],"faulty":[98,132],"pseudo-labels":[99,133],"suppresses":[100],"performance.":[102],"Instead,":[103],"we":[104],"propose":[105],"Reliable":[107,119],"Cluster-based":[108],"Framework":[109],"(RCF),":[110],"including":[111],"Coarse":[112],"Target":[113],"Clustering,":[114],"Structured":[115],"Matching":[116],"Strategy,":[117],"Pseudo-Label":[120],"Training":[121],"modules,":[122],"general":[125],"framework":[126],"solve":[128],"for":[134],"methods.":[137],"Experiments":[138],"on":[139],"extensive":[140],"benchmarks":[141],"demonstrate":[142],"that":[143],"RCF":[144],"significantly":[145],"outperforms":[146],"state-of-the-arts.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
