{"id":"https://openalex.org/W2102664428","doi":"https://doi.org/10.1109/ijcnn.2009.5178647","title":"Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data","display_name":"Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2102664428","doi":"https://doi.org/10.1109/ijcnn.2009.5178647","mag":"2102664428"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","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/A5026022035","display_name":"Kaizhu Huang","orcid":"https://orcid.org/0000-0002-3034-9639"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kaizhu Huang","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, UK","Department of Engineering Mathematics, University of Bristol, BS8 1TR, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, BS8 1TR, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051227924","display_name":"Zenglin Xu","orcid":"https://orcid.org/0000-0001-5550-6461"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglin Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michael R. Lyu","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079342653","display_name":"Colin Campbell","orcid":"https://orcid.org/0000-0002-4775-9802"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Colin Campbell","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, UK","Department of Engineering Mathematics, University of Bristol, BS8 1TR, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, BS8 1TR, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026022035"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":1.3085,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84398556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1272","last_page":"1277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.989799976348877,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.989799976348877,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9873999953269958,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9617999792098999,"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/computer-science","display_name":"Computer science","score":0.7993490099906921},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7152301669120789},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6990371942520142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6905103921890259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6849274635314941},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.677268922328949},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6675272583961487},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4939153790473938},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4922768175601959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37841176986694336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22124141454696655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7993490099906921},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7152301669120789},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6990371942520142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6905103921890259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6849274635314941},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.677268922328949},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6675272583961487},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4939153790473938},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4922768175601959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37841176986694336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22124141454696655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W258481170","https://openalex.org/W1479807131","https://openalex.org/W1518997799","https://openalex.org/W1947292668","https://openalex.org/W1989975849","https://openalex.org/W2053186076","https://openalex.org/W2093404847","https://openalex.org/W2104755048","https://openalex.org/W2105464873","https://openalex.org/W2113606819","https://openalex.org/W2122838776","https://openalex.org/W2122922389","https://openalex.org/W2130698119","https://openalex.org/W2133013156","https://openalex.org/W2136504847","https://openalex.org/W2143997830","https://openalex.org/W2145889472","https://openalex.org/W2150100034","https://openalex.org/W2156909104","https://openalex.org/W2164641162","https://openalex.org/W2165744911","https://openalex.org/W2166151737","https://openalex.org/W2787523326","https://openalex.org/W2798766386","https://openalex.org/W2799061466","https://openalex.org/W2987280934","https://openalex.org/W3023786531","https://openalex.org/W4230674625","https://openalex.org/W4235178178","https://openalex.org/W4241295153","https://openalex.org/W4244494905","https://openalex.org/W4244633107","https://openalex.org/W6679676526","https://openalex.org/W6683984541","https://openalex.org/W6684102537"],"related_works":["https://openalex.org/W3162567751","https://openalex.org/W4312414840","https://openalex.org/W2531570999","https://openalex.org/W4294974824","https://openalex.org/W2538661024","https://openalex.org/W3099805903","https://openalex.org/W4361193208","https://openalex.org/W2951234401","https://openalex.org/W1988412055","https://openalex.org/W2151561819"],"abstract_inverted_index":{"We":[0,172],"consider":[1],"the":[2,22,56,68,73,81,91,111,124,127,131,137,162,186],"task":[3],"of":[4,25,38,115,133,156],"Self-taught":[5,104],"Learning":[6,105],"(STL)":[7],"from":[8,35,50,123],"unlabeled":[9,18,39,51,82],"data.":[10,40,71],"In":[11,96],"contrast":[12],"to":[13,20,142],"semi-supervised":[14],"learning,":[15],"which":[16,76,147],"requires":[17],"data":[19,52,58,179],"have":[21],"same":[23],"set":[24],"class":[26],"labels":[27],"as":[28],"labeled":[29,57,70],"data,":[30,83],"STL":[31,41,116,191],"can":[32,165,189],"transfer":[33],"knowledge":[34],"different":[36],"types":[37],"uses":[42],"a":[43,65,101,118],"three-step":[44],"strategy:":[45],"(1)":[46],"learning":[47,195],"high-level":[48,74,135],"representations":[49,61,75,146],"only,":[53],"(2)":[54],"re-constructing":[55],"via":[59],"such":[60],"and":[62,130,192],"(3)":[63],"building":[64],"classifier":[66,93,128],"over":[67],"re-constructed":[69],"However,":[72],"are":[77,148],"exclusively":[78],"determined":[79],"by":[80],"may":[84],"be":[85,166],"inappropriate":[86],"or":[87],"even":[88],"misleading":[89],"for":[90,151],"latter":[92],"training":[94],"process.":[95],"this":[97],"paper,":[98],"we":[99],"propose":[100],"novel":[102,158,175],"Supervised":[103],"(SSTL)":[106],"framework":[107,159,176],"that":[108,161,185],"successfully":[109],"integrates":[110],"three":[112],"isolated":[113],"steps":[114],"into":[117],"single":[119],"optimization":[120,129,164],"problem.":[121],"Benefiting":[122],"interaction":[125],"between":[126],"process":[132],"choosing":[134],"representations,":[136],"proposed":[138,187],"model":[139],"is":[140,160],"able":[141],"select":[143],"those":[144],"discriminative":[145],"more":[149],"appropriate":[150],"classification.":[152],"One":[153],"important":[154],"feature":[155],"our":[157,174],"final":[163],"iteratively":[167],"solved":[168],"with":[169],"convergence":[170],"guaranteed.":[171],"evaluate":[173],"on":[177],"various":[178],"sets.":[180],"The":[181],"experimental":[182],"results":[183],"show":[184],"SSTL":[188],"outperform":[190],"traditional":[193],"supervised":[194],"methods":[196],"in":[197],"certain":[198],"instances.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-12-03T00:04:00.142953","created_date":"2025-10-10T00:00:00"}