{"id":"https://openalex.org/W1991043423","doi":"https://doi.org/10.4018/jdls.2010040102","title":"A Multiple-Instance Learning Based Approach to Multimodal Data Mining","display_name":"A Multiple-Instance Learning Based Approach to Multimodal Data Mining","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1991043423","doi":"https://doi.org/10.4018/jdls.2010040102","mag":"1991043423"},"language":"en","primary_location":{"id":"doi:10.4018/jdls.2010040102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdls.2010040102","pdf_url":null,"source":{"id":"https://openalex.org/S143974849","display_name":"International Journal of Digital Library Systems","issn_l":"1947-9077","issn":["1947-9077","1947-9085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Library Systems","raw_type":"journal-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/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["SUNY Binghamton, USA","SUNY-Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"SUNY-Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003367","display_name":"Zhen Guo","orcid":"https://orcid.org/0000-0003-3967-4304"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Guo","raw_affiliation_strings":["SUNY Binghamton, USA","SUNY-Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"SUNY-Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083649006","display_name":"Jia-Yu Pan","orcid":"https://orcid.org/0009-0005-6700-908X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia-Yu Pan","raw_affiliation_strings":["Google Inc., USA","Google, Inc, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc., USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google, Inc, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036747535"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07818072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"2","first_page":"24","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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":0.9948999881744385,"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/T11309","display_name":"Music and Audio Processing","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9638000130653381,"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/computer-science","display_name":"Computer science","score":0.8464161157608032},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7792013883590698},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.623080849647522},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5205360651016235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.411182701587677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40193355083465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3605576753616333},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18548163771629333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8464161157608032},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7792013883590698},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.623080849647522},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5205360651016235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.411182701587677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40193355083465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3605576753616333},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18548163771629333},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jdls.2010040102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdls.2010040102","pdf_url":null,"source":{"id":"https://openalex.org/S143974849","display_name":"International Journal of Digital Library Systems","issn_l":"1947-9077","issn":["1947-9077","1947-9085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Library Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdls00:v:1:y:2010:i:2:p:24-42","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdls.2010040102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1544067897","https://openalex.org/W1554039773","https://openalex.org/W1666447063","https://openalex.org/W1946852907","https://openalex.org/W1963617585","https://openalex.org/W1966848801","https://openalex.org/W1969158989","https://openalex.org/W1998782100","https://openalex.org/W2014080659","https://openalex.org/W2029520384","https://openalex.org/W2034732817","https://openalex.org/W2044542000","https://openalex.org/W2063049279","https://openalex.org/W2076752034","https://openalex.org/W2077529516","https://openalex.org/W2080285674","https://openalex.org/W2086478842","https://openalex.org/W2098166271","https://openalex.org/W2103630129","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2115517344","https://openalex.org/W2115876302","https://openalex.org/W2118886759","https://openalex.org/W2123241287","https://openalex.org/W2130660124","https://openalex.org/W2135986560","https://openalex.org/W2137471889","https://openalex.org/W2137918516","https://openalex.org/W2144407188","https://openalex.org/W2151259137","https://openalex.org/W2152195571","https://openalex.org/W2154318594","https://openalex.org/W2155613263","https://openalex.org/W2156336347","https://openalex.org/W2157465536","https://openalex.org/W2165075008","https://openalex.org/W2172191903","https://openalex.org/W4285719527","https://openalex.org/W6683169846"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2016108640","https://openalex.org/W3151146928"],"abstract_inverted_index":{"This":[0,15],"paper":[1],"presents":[2],"multiple-instance":[3],"learning":[4],"based":[5],"approach":[6,16],"to":[7,56,64,88,100],"multimodal":[8,49,84],"data":[9,50,85],"mining":[10,51,77,86],"in":[11,52,79],"a":[12,18,82],"multimedia":[13],"database.":[14],"is":[17,46],"highly":[19],"scalable":[20],"and":[21,31,41],"adaptable":[22],"framework":[23,45],"that":[24],"the":[25,35,38,60,65,73,76,90,93],"authors":[26,61],"call":[27],"co-learning.":[28],"Theoretic":[29],"analysis":[30],"empirical":[32],"evaluations":[33,74],"demonstrate":[34],"advantage":[36],"of":[37,75,92],"strong":[39],"scalability":[40],"adaptability.":[42],"Although":[43],"this":[44,58,102],"general":[47],"for":[48,72],"any":[53],"specific":[54],"domain,":[55],"evaluate":[57],"framework,":[59],"apply":[62],"it":[63],"Berkeley":[66],"Drosophila":[67],"ISH":[68],"embryo":[69],"image":[70],"database":[71],"performance":[78],"comparison":[80],"with":[81],"state-of-the-art":[83],"method":[87],"showcase":[89],"promise":[91],"co-learning":[94],"framework.Request":[95],"access":[96],"from":[97],"your":[98],"librarian":[99],"read":[101],"article's":[103],"full":[104],"text.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}