{"id":"https://openalex.org/W2807978488","doi":"https://doi.org/10.24963/ijcai.2018/151","title":"Extracting Privileged Information from Untagged Corpora for Classifier Learning","display_name":"Extracting Privileged Information from Untagged Corpora for Classifier Learning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2807978488","doi":"https://doi.org/10.24963/ijcai.2018/151","mag":"2807978488"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/151","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/151","pdf_url":"https://www.ijcai.org/proceedings/2018/0151.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0151.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yazhou Yao","raw_affiliation_strings":["University of Technology Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["University of Technology Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China","DAMO Academy, Alibaba Group, Hangzhou, China","Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748706","display_name":"Wankou Yang","orcid":"https://orcid.org/0000-0002-6385-6776"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wankou Yang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735663","display_name":"Zhenmin Tang","orcid":"https://orcid.org/0000-0001-6708-2205"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenmin Tang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1085","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9897000193595886,"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/subcategory","display_name":"Subcategory","score":0.9558661580085754},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8699091076850891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445690631866455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285429239273071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6434110999107361},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6005917191505432},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.49046728014945984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36487260460853577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12139078974723816}],"concepts":[{"id":"https://openalex.org/C2780617661","wikidata":"https://www.wikidata.org/wiki/Q541563","display_name":"Subcategory","level":2,"score":0.9558661580085754},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8699091076850891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445690631866455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285429239273071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6434110999107361},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6005917191505432},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.49046728014945984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36487260460853577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12139078974723816},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2018/151","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/151","pdf_url":"https://www.ijcai.org/proceedings/2018/0151.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/128537","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/128537","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/151","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/151","pdf_url":"https://www.ijcai.org/proceedings/2018/0151.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1571581881","display_name":null,"funder_award_id":"61473086","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2470178619","display_name":null,"funder_award_id":"61473086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4421491730","display_name":null,"funder_award_id":"61773117","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7125554721","display_name":null,"funder_award_id":"61473154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8812960752","display_name":null,"funder_award_id":"61773117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807978488.pdf","grobid_xml":"https://content.openalex.org/works/W2807978488.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W385190221","https://openalex.org/W1512098439","https://openalex.org/W1898896628","https://openalex.org/W1905245135","https://openalex.org/W2031489346","https://openalex.org/W2039361386","https://openalex.org/W2069808690","https://openalex.org/W2081613070","https://openalex.org/W2101350717","https://openalex.org/W2106279089","https://openalex.org/W2106848050","https://openalex.org/W2108745803","https://openalex.org/W2114623790","https://openalex.org/W2118253129","https://openalex.org/W2118858186","https://openalex.org/W2133348086","https://openalex.org/W2140676093","https://openalex.org/W2163463863","https://openalex.org/W2163605009","https://openalex.org/W2165897980","https://openalex.org/W2282078507","https://openalex.org/W2417148288","https://openalex.org/W2507181749","https://openalex.org/W2524029660","https://openalex.org/W2766724094","https://openalex.org/W2787984249","https://openalex.org/W3101225052","https://openalex.org/W3118608800"],"related_works":["https://openalex.org/W2807978488","https://openalex.org/W2891355224","https://openalex.org/W2044488462","https://openalex.org/W3204418343","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W1560624709","https://openalex.org/W2169074127","https://openalex.org/W2163707935","https://openalex.org/W83146503"],"abstract_inverted_index":{"The":[0,91],"performance":[1],"of":[2,40,122,143],"data-driven":[3],"learning":[4,56,114],"approaches":[5],"is":[6,13,30,43],"often":[7],"unsatisfactory":[8],"when":[9],"the":[10,38,67,130,135,141],"training":[11,123],"data":[12],"inadequate":[14],"either":[15],"in":[16],"quantity":[17],"or":[18,28],"quality.":[19],"Manually":[20],"labeled":[21,71],"privileged":[22],"information":[23],"(PI),":[24],"\\eg":[25],"attributes,":[26],"tags":[27],"properties,":[29],"usually":[31],"incorporated":[32],"to":[33,53,100,117],"improve":[34],"classifier":[35,55,86],"learning.":[36],"However,":[37],"process":[39],"manually":[41,70],"labeling":[42],"time-consuming":[44],"and":[45,83,128],"labor-intensive.":[46],"To":[47],"address":[48],"this":[49],"issue,":[50],"we":[51,75,108],"propose":[52,109],"enhance":[54],"by":[57],"extracting":[58],"PI":[59,79],"from":[60,125],"untagged":[61],"corpora,":[62],"which":[63],"can":[64],"effectively":[65],"eliminate":[66],"dependency":[68],"on":[69,134],"data.":[72],"In":[73],"detail,":[74],"treat":[76],"each":[77,126],"selected":[78,136],"as":[80],"a":[81,102,110,120],"subcategory":[82,89,127],"learn":[84,129],"one":[85],"for":[87,93],"per":[88],"independently.":[90],"classifiers":[92,132],"all":[94],"subcategories":[95],"are":[96],"then":[97],"integrated":[98],"together":[99],"form":[101],"more":[103],"powerful":[104],"category":[105],"classifier.":[106],"Particularly,":[107],"new":[111],"instance-level":[112],"multi-instance":[113],"(MIL)":[115],"model":[116],"simultaneously":[118],"select":[119],"subset":[121],"images":[124],"optimal":[131],"based":[133],"images.":[137],"Extensive":[138],"experiments":[139],"demonstrate":[140],"superiority":[142],"our":[144],"approach.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
