{"id":"https://openalex.org/W2152195571","doi":"https://doi.org/10.1109/icde.2000.839416","title":"Image database retrieval with multiple-instance learning techniques","display_name":"Image database retrieval with multiple-instance learning techniques","publication_year":2002,"publication_date":"2002-11-07","ids":{"openalex":"https://openalex.org/W2152195571","doi":"https://doi.org/10.1109/icde.2000.839416","mag":"2152195571"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2000.839416","doi":"https://doi.org/10.1109/icde.2000.839416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2000.839416","pdf_url":null,"source":{"id":"https://openalex.org/S4210210321","display_name":"IEEE International Conference on Data Engineering (ICDE)","issn_l":"1084-4627","issn":["1084-4627","2375-0286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/50505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"C. Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Yang","raw_affiliation_strings":["Computer Science Department, University of Stanford, Stanford, CA, USA","[Artificial Intelligence Lab., MIT, Cambridge, MA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Artificial Intelligence Lab., MIT, Cambridge, MA, USA]","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063238208","display_name":"Tom\u00e1s Lozano\u2010P\u00e9rez","orcid":"https://orcid.org/0000-0002-8657-2450","observed_orcids":["https://orcid.org/0000-0002-8657-2450"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Lozano-Perez","raw_affiliation_strings":["M. I. T., A. I. Laboratory, Cambridge, MA, USA","Massachusetts Institute Of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M. I. T., A. I. Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3177,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.95585791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9848999977111816,"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":0.9848999977111816,"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":0.014700000174343586,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/image-retrieval","display_name":"image retrieval","score":0.8560000061988831},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.8700000047683716},{"id":"https://openalex.org/keywords/multiple-instance-learning","display_name":"multiple instance learning","score":0.9769999980926514},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.4309999942779541},{"id":"https://openalex.org/keywords/feature-vectors","display_name":"feature vectors","score":0.7089999914169312},{"id":"https://openalex.org/keywords/image-similarity","display_name":"image similarity","score":0.9079999923706055},{"id":"https://openalex.org/keywords/natural-images","display_name":"natural images","score":0.6859999895095825},{"id":"https://openalex.org/keywords/object-images","display_name":"object images","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190544843673706},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6723970174789429},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5002536773681641},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4971523582935333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47554489970207214},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41861337423324585},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3333597183227539},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32622408866882324}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icde.2000.839416","doi":"https://doi.org/10.1109/icde.2000.839416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2000.839416","pdf_url":null,"source":{"id":"https://openalex.org/S4210210321","display_name":"IEEE International Conference on Data Engineering (ICDE)","issn_l":"1084-4627","issn":["1084-4627","2375-0286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.111.1965","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.1965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-db.stanford.edu/~yangc/pub/cy-icde00.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.129.6699","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.6699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.csail.mit.edu/tlp/publications/image-database-yang.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.23.1837","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.1837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/people/cheng/thesis/image-mi.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.962.9351","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.962.9351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dspace.mit.edu/bitstream/handle/1721.1/50505/42306274-MIT.pdf%3Bjsessionid%3DA979BCB19F5B63A0EB7A07666DCA1C0E?sequence%3D2","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/50505","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/50505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/50505","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/50505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W97189687","https://openalex.org/W1540386283","https://openalex.org/W1550821944","https://openalex.org/W1558349653","https://openalex.org/W1622620102","https://openalex.org/W2044795131","https://openalex.org/W2053179316","https://openalex.org/W2104825706","https://openalex.org/W2110119381","https://openalex.org/W2124935070","https://openalex.org/W2126051390","https://openalex.org/W2144679084","https://openalex.org/W2153168223","https://openalex.org/W2154318594","https://openalex.org/W2157888595","https://openalex.org/W2160066518","https://openalex.org/W2340480757","https://openalex.org/W2432517183","https://openalex.org/W2981264952"],"related_works":["https://openalex.org/W2026486243","https://openalex.org/W2034981351","https://openalex.org/W7164248450","https://openalex.org/W2547583230","https://openalex.org/W2976252646","https://openalex.org/W2181301213","https://openalex.org/W1925193122","https://openalex.org/W2104168938","https://openalex.org/W1554039773","https://openalex.org/W2046007188"],"abstract_inverted_index":{"In":[0,42],"this":[1,43],"paper,":[2],"we":[3],"develop":[4],"and":[5,36,60,96,149],"test":[6],"an":[7,13],"approach":[8,135],"for":[9],"retrieving":[10],"images":[11,110],"from":[12,115],"image":[14,62,90,132],"database":[15,141],"based":[16],"on":[17,138],"content":[18],"similarity.":[19,133],"First,":[20],"each":[21,30,45,89],"picture":[22,46],"is":[23,34,47,81,128,136],"divided":[24],"into":[25,38],"many":[26],"overlapping":[27],"regions.":[28],"For":[29],"region,":[31],"the":[32,66,69,77,93,100,116,119,124],"sub-picture":[33],"filtered":[35],"converted":[37],"a":[39,50,71,139],"feature":[40,54,86,101,113],"vector.":[41],"way,":[44],"represented":[48],"by":[49],"number":[51],"of":[52,99,118,123,142],"different":[53],"vectors.":[55],"The":[56,105,134],"user":[57],"selects":[58],"positive":[59],"negative":[61],"examples":[63],"to":[64,83,108,130],"train":[65],"system.":[67],"During":[68],"training,":[70],"multiple-instance":[72],"learning":[73],"method":[74],"known":[75],"as":[76,145,147],"diverse":[78],"density":[79],"algorithm":[80],"employed":[82],"determine":[84,131],"which":[85,97],"vector":[87],"in":[88],"best":[91],"represents":[92],"user's":[94],"concept,":[95],"dimensions":[98],"vectors":[102,114],"are":[103],"important.":[104],"system":[106],"tries":[107],"retrieve":[109],"with":[111],"similar":[112],"remainder":[117],"database.":[120],"A":[121],"variation":[122],"weighted":[125],"correlation":[126],"statistic":[127],"used":[129],"tested":[137],"medium-sized":[140],"natural":[143],"scenes":[144],"well":[146],"single-":[148],"multiple-object":[150],"images.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":11}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
