{"id":"https://openalex.org/W2903302668","doi":"https://doi.org/10.1109/icpr.2018.8546304","title":"Multiple- Instance Learning with Empirical Estimation Guided Instance Selection","display_name":"Multiple- Instance Learning with Empirical Estimation Guided Instance Selection","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903302668","doi":"https://doi.org/10.1109/icpr.2018.8546304","mag":"2903302668"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5103030227","display_name":"Liming Yuan","orcid":"https://orcid.org/0000-0001-8571-2856"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023169451","display_name":"Xianbin Wen","orcid":"https://orcid.org/0000-0002-5748-1744"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbin Wen","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078977481","display_name":"Haixia Xu","orcid":"https://orcid.org/0000-0003-3721-665X"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101618803","display_name":"Lu Zhao","orcid":"https://orcid.org/0000-0002-3196-1379"},"institutions":[{"id":"https://openalex.org/I168673124","display_name":"Tianjin Chengjian University","ror":"https://ror.org/01d0bkz51","country_code":"CN","type":"education","lineage":["https://openalex.org/I168673124"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhao","raw_affiliation_strings":["School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, China","institution_ids":["https://openalex.org/I168673124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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/T11439","display_name":"Video Analysis and Summarization","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/selection","display_name":"Selection (genetic algorithm)","score":0.7664213180541992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723505437374115},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7013945579528809},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6680155992507935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6043930053710938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179349780082703},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5127988457679749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18239837884902954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07356321811676025}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7664213180541992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723505437374115},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7013945579528809},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6680155992507935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6043930053710938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179349780082703},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5127988457679749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18239837884902954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07356321811676025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1544144649","https://openalex.org/W1583676656","https://openalex.org/W1670132599","https://openalex.org/W2010262905","https://openalex.org/W2010792435","https://openalex.org/W2074992691","https://openalex.org/W2078579128","https://openalex.org/W2098166271","https://openalex.org/W2108745803","https://openalex.org/W2109579504","https://openalex.org/W2110119381","https://openalex.org/W2116133729","https://openalex.org/W2125479168","https://openalex.org/W2127608660","https://openalex.org/W2133324800","https://openalex.org/W2136595724","https://openalex.org/W2141284791","https://openalex.org/W2153635508","https://openalex.org/W2154318594","https://openalex.org/W2163474322","https://openalex.org/W2166010828","https://openalex.org/W2343974644","https://openalex.org/W6632575761","https://openalex.org/W6669992580","https://openalex.org/W6676245398","https://openalex.org/W6680240620","https://openalex.org/W6683033130","https://openalex.org/W6684158799"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583"],"abstract_inverted_index":{"The":[0],"embedding":[1],"based":[2,88],"framework":[3],"handles":[4],"the":[5,10,24,56,59,70,75,81,84],"multiple-instance":[6],"learning":[7],"(MIL)":[8],"via":[9],"instance":[11,20,39,76],"selection":[12],"and":[13],"embedding.":[14],"It":[15],"is":[16],"how":[17],"to":[18],"select":[19],"prototypes":[21],"that":[22],"becomes":[23],"main":[25],"difference":[26],"between":[27],"various":[28],"algorithms.":[29],"Most":[30],"current":[31],"studies":[32],"depend":[33],"on":[34],"single":[35],"criteria":[36,50,72],"for":[37,74,91],"selecting":[38],"prototypes.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,62],"adopt":[45],"two":[46,52,71],"kinds":[47],"of":[48,58,83],"instance-selection":[49,89],"from":[51],"different":[53],"views.":[54],"For":[55],"combination":[57],"two-view":[60],"criteria,":[61],"also":[63],"present":[64],"an":[65],"empirical":[66,86],"estimator":[67,87],"under":[68],"which":[69],"compete":[73],"selection.":[77],"Experimental":[78],"results":[79],"validate":[80],"effectiveness":[82],"proposed":[85],"method":[90],"MIL.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
