{"id":"https://openalex.org/W2966120288","doi":"https://doi.org/10.1109/access.2019.2933591","title":"Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning","display_name":"Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2966120288","doi":"https://doi.org/10.1109/access.2019.2933591","mag":"2966120288"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933591","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08789382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08789382.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034662803","display_name":"Xishuai Peng","orcid":"https://orcid.org/0000-0001-5403-3172"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xishuai Peng","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766320","display_name":"Yuanxiang Li","orcid":"https://orcid.org/0000-0002-1797-3621"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxiang Li","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054035359","display_name":"Yi Lu Murphey","orcid":"https://orcid.org/0000-0002-0501-8002"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Lu Murphey","raw_affiliation_strings":["College of Engineering and Computer Science, University of Michigan\u2013Dearborn, Dearborn, MI, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, University of Michigan\u2013Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103420838","display_name":"Jianhua Luo","orcid":"https://orcid.org/0009-0000-4641-8056"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Luo","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.282,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.599613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":74},"biblio":{"volume":"7","issue":null,"first_page":"108248","last_page":"108260"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995,"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":0.9995,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.971,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9498,"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/discriminative-model","display_name":"Discriminative model","score":0.6904837},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.65728134},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain Adaptation","score":0.5041176},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.44192374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71646047},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6904837},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.65728134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.60082},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.59529567},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5875854},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5576724},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5041176},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45918578},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.44192374},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.42994377},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33989632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18866926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08975139},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933591","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08789382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/4be6970c4a00451da995733801201e93","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933591","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08789382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.74,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U1406404"}],"datasets":[],"versions":[],"referenced_works_count":61,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W16455933","https://openalex.org/W1849277567","https://openalex.org/W1882958252","https://openalex.org/W1905307128","https://openalex.org/W191001584","https://openalex.org/W1941659294","https://openalex.org/W2025768430","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W204268067","https://openalex.org/W2042970394","https://openalex.org/W2044865345","https://openalex.org/W2057266281","https://openalex.org/W2067713319","https://openalex.org/W2089468765","https://openalex.org/W2096785365","https://openalex.org/W2096873754","https://openalex.org/W2096943734","https://openalex.org/W2099501835","https://openalex.org/W2100495367","https://openalex.org/W2114570910","https://openalex.org/W2115403315","https://openalex.org/W2134563198","https://openalex.org/W2139122730","https://openalex.org/W2141303268","https://openalex.org/W2149466042","https://openalex.org/W2156718197","https://openalex.org/W2159291411","https://openalex.org/W2161381512","https://openalex.org/W2165698076","https://openalex.org/W2169495281","https://openalex.org/W2171370495","https://openalex.org/W2186094539","https://openalex.org/W2207593006","https://openalex.org/W2277406607","https://openalex.org/W22861983","https://openalex.org/W2428809231","https://openalex.org/W2520858298","https://openalex.org/W2523746035","https://openalex.org/W2552600366","https://openalex.org/W2552765257","https://openalex.org/W2573159777","https://openalex.org/W2575615142","https://openalex.org/W2576279264","https://openalex.org/W2588117332","https://openalex.org/W2756320255","https://openalex.org/W2789746591","https://openalex.org/W2795744451","https://openalex.org/W2800222246","https://openalex.org/W2803106019","https://openalex.org/W2883657838","https://openalex.org/W2889310761","https://openalex.org/W2963275094","https://openalex.org/W2963756240","https://openalex.org/W2964278684","https://openalex.org/W2978624918","https://openalex.org/W2998115938","https://openalex.org/W4294375521","https://openalex.org/W4299518610","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4312246223","https://openalex.org/W4297051394","https://openalex.org/W3131327266","https://openalex.org/W3034688404","https://openalex.org/W3013693939","https://openalex.org/W2803255133","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2566616303","https://openalex.org/W2159052453"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"(DA),":[2],"a":[3,15,70,97,133],"particular":[4],"case":[5],"of":[6,136,195,232,276],"transfer":[7],"learning,":[8],"is":[9,168],"an":[10],"effective":[11],"technology":[12],"for":[13,138],"learning":[14],"discriminative":[16],"model":[17,98,269],"in":[18,51,77],"scenarios":[19],"where":[20],"the":[21,24,28,52,101,113,121,125,141,156,159,166,171,180,192,201,205,209,219,224,230,233,261,266,274,280,285],"data":[22,242,287],"from":[23,124],"training":[25,96,117],"(source)":[26],"and":[27,55,63,158,173,183,222,252,278],"testing":[29],"(target)":[30],"domains":[31],"share":[32],"common":[33],"class":[34],"labels":[35],"but":[36],"follow":[37],"different":[38,258],"distributions.":[39],"The":[40,80,162],"differences":[41],"between":[42],"domains,":[43],"called":[44,140],"domain":[45],"shifts,":[46],"are":[47,67,176,212],"caused":[48],"by":[49,190],"variations":[50],"acquisition":[53],"devices":[54],"environmental":[56],"conditions,":[57],"such":[58],"as":[59,74],"changing":[60],"illuminations,":[61],"pose,":[62],"collecting-device":[64],"noises,":[65,182],"that":[66,89,169,265],"related":[68],"to":[69,99,111,119,149,179,256],"specific":[71],"domain,":[72],"denoted":[73],"domain-specific":[75,122,181,225],"noises":[76,123],"this":[78,129],"paper.":[79],"research":[81,107],"on":[82,200,208,284],"stacked":[83,142],"denoising":[84],"autoencoder":[85],"(SDA)":[86],"has":[87,108],"demonstrated":[88,264],"noise-robust":[90],"features":[91,115,152],"could":[92,187],"be":[93,188],"learned":[94],"through":[95,116,153],"reduce":[100,120],"man-made":[102],"(simulated)":[103],"noises.":[104,226],"However,":[105],"little":[106],"been":[109],"conducted":[110,236],"learn":[112,150],"domain-invariant":[114,151],"SDA":[118,137,157,277],"real":[126],"word.":[127],"In":[128],"paper,":[130],"we":[131,235],"propose":[132],"novel":[134],"variant":[135],"DA,":[139],"local":[143],"constraint":[144],"auto-encoder":[145],"(SLC-AE),":[146],"which":[147],"aims":[148],"iteratively":[154],"optimizing":[155],"low-dimensional":[160],"manifold.":[161,203],"core":[163],"idea":[164],"behind":[165],"SLC-AE":[167,268],"both":[170],"source":[172],"target":[174],"samples":[175,198,207],"corrupted":[177,185],"due":[178],"each":[184],"sample":[186],"de-noised":[189],"calculating":[191],"weighted":[193,216],"sum":[194,217],"its":[196],"neighbor":[197,206],"defined":[199],"intrinsic":[202,210],"Because":[204],"manifold":[211],"semantically":[213],"similar,":[214],"their":[215],"preserves":[218],"generic":[220],"information":[221],"reduces":[223],"To":[227],"properly":[228],"evaluate":[229],"performance":[231,275,283],"SLC-AE,":[234],"extensive":[237],"experiments":[238],"using":[239],"seven":[240,286],"benchmark":[241],"sets,":[243],"i.e.,":[244],"MNIST,":[245],"USPS,":[246],"COIL20,":[247],"SYN":[248],"SIGNS,":[249],"GTSRB,":[250],"MSRC":[251],"VOC":[253],"2007.":[254],"Compared":[255],"twelve":[257],"state-of-the-art":[259],"methods,":[260],"experimental":[262],"results":[263],"proposed":[267],"made":[270],"significant":[271],"improvement":[272],"over":[273],"achieved":[279],"best":[281],"average":[282],"sets.":[288]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2966120288","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-04-15T20:23:22.437906","created_date":"2019-08-13"}