{"id":"https://openalex.org/W2028017042","doi":"https://doi.org/10.1145/1291233.1291296","title":"Typicality ranking via semi-supervised multiple-instance learning","display_name":"Typicality ranking via semi-supervised multiple-instance learning","publication_year":2007,"publication_date":"2007-09-29","ids":{"openalex":"https://openalex.org/W2028017042","doi":"https://doi.org/10.1145/1291233.1291296","mag":"2028017042"},"language":"en","primary_location":{"id":"doi:10.1145/1291233.1291296","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","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/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["University of Science & Technology of China, Hefei, China",", University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Science & Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":", University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"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/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766907","display_name":"Guo-Jun Qi","orcid":"https://orcid.org/0000-0003-3508-1851"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Jun Qi","raw_affiliation_strings":["University of Science & Technology of China, Hefei, China",", University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Science & Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":", University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374734","display_name":"Xiuqing Wu","orcid":"https://orcid.org/0000-0001-9287-0481"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqing Wu","raw_affiliation_strings":["University of Science & Technology of China, Hefei, China",", University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Science & Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":", University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035112538"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.70076322,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.90495219,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.8404519557952881},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8196144700050354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388439178466797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7355319857597351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.565109133720398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.545815110206604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5351624488830566},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.460203617811203},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4582989811897278},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4206174910068512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11174410581588745},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.059397995471954346}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8404519557952881},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8196144700050354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388439178466797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355319857597351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.565109133720398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.545815110206604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5351624488830566},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.460203617811203},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4582989811897278},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4206174910068512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11174410581588745},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.059397995471954346},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1291233.1291296","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1497443639","https://openalex.org/W1523910552","https://openalex.org/W1540386283","https://openalex.org/W1854214752","https://openalex.org/W2029295509","https://openalex.org/W2039118116","https://openalex.org/W2076752034","https://openalex.org/W2104019579","https://openalex.org/W2110119381","https://openalex.org/W2136595724","https://openalex.org/W2139823104","https://openalex.org/W2146022472","https://openalex.org/W2148567413","https://openalex.org/W2152444902","https://openalex.org/W2154455818","https://openalex.org/W4247698036","https://openalex.org/W6639055396","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Most":[0],"of":[1,86,106,124,138,166],"the":[2,24,37,51,84,87,96,100,104,121,125,142,164,167],"existing":[3,117],"methods":[4],"for":[5,23,69],"natural":[6,71],"scene":[7],"categorization":[8,52],"only":[9,133],"consider":[10],"whether":[11],"a":[12,19,28,64,74,112,159],"sample":[13],"is":[14,147,154],"relevant":[15,26],"or":[16,33],"irrelevant":[17],"to":[18,27,36,49,116],"particular":[20],"concept.":[21],"However,":[22],"samples":[25],"certain":[29],"concept,":[30],"their":[31],"typicalities":[32,85],"relevancy":[34],"scores":[35],"concept":[38],"generally":[39],"are":[40],"different.":[41],"Typicality":[42],"measure":[43],"should":[44],"be":[45],"taken":[46],"into":[47],"account":[48],"make":[50],"results":[53],"more":[54],"consistent":[55],"with":[56],"human's":[57],"perception.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"novel":[65],"typicality":[66,105,118],"ranking":[67,119],"scheme":[68],"categorizing":[70],"scenes":[72],"through":[73],"two-stage":[75],"semi-supervised":[76,113],"multiple-instance":[77],"learning":[78],"method.":[79],"The":[80],"first":[81],"stage":[82],"infers":[83],"underlying":[88],"positive":[89],"instances":[90],"(i.e.,":[91,109],"regions":[92],"in":[93,95,111,129,141],"images)":[94],"training":[97,143],"dataset":[98,162],"and":[99,150],"second":[101],"one":[102],"predicts":[103],"each":[107],"bag":[108],"image)":[110],"manner.":[114],"Compared":[115],"approaches,":[120],"main":[122],"advantages":[123],"proposed":[126,168],"method":[127],"lie":[128],"twofold.":[130],"First,":[131],"it":[132,146],"needs":[134],"image-level":[135],"labels":[136],"instead":[137],"region-level":[139],"ones":[140],"stage.":[144],"Second,":[145],"fully":[148],"automated":[149],"no":[151],"human":[152],"feedback":[153],"required.":[155],"Experiments":[156],"conducted":[157],"on":[158],"COREL":[160],"image":[161],"demonstrate":[163],"effectiveness":[165],"approach.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}