{"id":"https://openalex.org/W2163828439","doi":"https://doi.org/10.1145/1553374.1553399","title":"EigenTransfer","display_name":"EigenTransfer","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2163828439","doi":"https://doi.org/10.1145/1553374.1553399","mag":"2163828439"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553399","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100527530","display_name":"Wenyuan Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyuan Dai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111776207","display_name":"Ou Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ou Jin","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109845737","display_name":"Gui-Rong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Rong Xue","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"200"},"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":1.0,"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":1.0,"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":0.9871000051498413,"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/T12676","display_name":"Machine Learning and ELM","score":0.9866999983787537,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7717106342315674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7596437335014343},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6098629832267761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580562949180603},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5094440579414368},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.4747515022754669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4639005661010742},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4518532156944275},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"Negative transfer","score":0.4263206720352173},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4213348627090454},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22934049367904663},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.158982515335083}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7717106342315674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596437335014343},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6098629832267761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580562949180603},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5094440579414368},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.4747515022754669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4639005661010742},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4518532156944275},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.4263206720352173},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4213348627090454},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22934049367904663},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.158982515335083},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1553374.1553399","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-16724","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-16724","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-16724","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2009&rft.spage=193&rft.aulast=Dai&rft.aufirst=Wen&rft.atitle=EigenTransfer%3A+a+unified+framework+for+transfer+learning&rft.title=ACM+International+Conference+Proceeding%3A+the+26th+International+Conference+On+Machine+Learning%2C+Montreal%2C+Canada%2C+14-18+June+2009","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2547827217","display_name":"\u57fa\u4e8e\u8fc1\u79fb\u5b66\u4e60\u7684Web\u6316\u6398\u7814\u7a76","funder_award_id":"60873211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1493526108","https://openalex.org/W1563653928","https://openalex.org/W1578099820","https://openalex.org/W1594962278","https://openalex.org/W2071664212","https://openalex.org/W2087347434","https://openalex.org/W2099971677","https://openalex.org/W2107008379","https://openalex.org/W2120708938","https://openalex.org/W2121947440","https://openalex.org/W2122922389","https://openalex.org/W2133013156","https://openalex.org/W2165744911","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W3003665436","https://openalex.org/W3035219538","https://openalex.org/W6633639304","https://openalex.org/W6634702315","https://openalex.org/W6780052409"],"related_works":["https://openalex.org/W3016888008","https://openalex.org/W4387770285","https://openalex.org/W2165698076","https://openalex.org/W3022215768","https://openalex.org/W4387183713","https://openalex.org/W1603035390","https://openalex.org/W2821676139","https://openalex.org/W4382138864","https://openalex.org/W3135975972","https://openalex.org/W4403518771"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,10,28,42,46,51,93,101],"general":[4],"framework,":[5],"called":[6],"EigenTransfer,":[7],"to":[8,26,30,80,127],"tackle":[9],"variety":[11],"of":[12,41,53,60],"transfer":[13,34,74,95,102,108,117],"learning":[14,35,38,47,96,109,118,123],"problems,":[15],"e.g.":[16],"cross-domain":[17,120],"learning,":[18,20,121,126],"self-taught":[19,125],"etc.":[21],"Our":[22],"basic":[23],"idea":[24],"is":[25],"construct":[27],"graph":[29,43],"represent":[31],"the":[32,39,57,61,70,75,106],"target":[33,83,107],"task.":[36,110],"By":[37],"spectra":[40],"which":[44,73],"represents":[45],"task,":[48,97],"we":[49],"obtain":[50],"set":[52],"eigenvectors":[54,65],"that":[55,136],"reflect":[56],"intrinsic":[58],"structure":[59],"task":[62],"graph.":[63],"These":[64],"can":[66,99,138],"be":[67],"used":[68],"as":[69],"new":[71],"features":[72],"knowledge":[76],"from":[77],"auxiliary":[78],"data":[79],"help":[81],"classify":[82],"data.":[84],"Given":[85],"an":[86],"arbitrary":[87],"non-transfer":[88,143],"learner":[89,103],"(e.g.":[90],"SVM)":[91],"and":[92,124,132],"particular":[94],"EigenTransfer":[98,113,137],"produce":[100],"accordingly":[104],"for":[105],"We":[111],"apply":[112],"on":[114],"three":[115],"different":[116],"tasks,":[119],"cross-category":[122],"demonstrate":[128],"its":[129],"unifying":[130],"ability,":[131],"show":[133],"through":[134],"experiments":[135],"greatly":[139],"outperform":[140],"several":[141],"representative":[142],"learners.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}