{"id":"https://openalex.org/W2023326407","doi":"https://doi.org/10.1109/tpami.2013.69","title":"Latent Dirichlet Allocation Models for Image Classification","display_name":"Latent Dirichlet Allocation Models for Image Classification","publication_year":2013,"publication_date":"2013-04-05","ids":{"openalex":"https://openalex.org/W2023326407","doi":"https://doi.org/10.1109/tpami.2013.69","mag":"2023326407","pmid":"https://pubmed.ncbi.nlm.nih.gov/24051727"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2013.69","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2013.69","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007870799","display_name":"N. Rasiwasia","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"N. Rasiwasia","raw_affiliation_strings":["Yahoo! Labs Bangalore, India","Yahoo! Labs. Bangalore, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"Yahoo! Labs. Bangalore, Bangalore, India","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043325212","display_name":"Nuno Vasconcelos","orcid":"https://orcid.org/0000-0002-9024-4302"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Vasconcelos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, USA","University of California - San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California - San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007870799"],"corresponding_institution_ids":["https://openalex.org/I1325784139"],"apc_list":null,"apc_paid":null,"fwci":8.846,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98133167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"35","issue":"11","first_page":"2665","last_page":"2679"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9451594352722168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6680864095687866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5993174910545349},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5894366502761841},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.575201690196991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5546565651893616},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5336881875991821},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47684967517852783},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46728453040122986},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.44122669100761414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3919651508331299},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3584221601486206}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9451594352722168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6680864095687866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993174910545349},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5894366502761841},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.575201690196991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5546565651893616},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5336881875991821},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47684967517852783},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46728453040122986},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.44122669100761414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3919651508331299},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3584221601486206},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2013.69","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2013.69","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:24051727","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24051727","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:escholarship.org/ark:/13030/qt67n1z5ws","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/67n1z5ws","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence, vol 35, iss 11","raw_type":"article"},{"id":"pmh:qt67n1z5ws","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/67n1z5ws","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rasiwasia, N; &amp; Vasconcelos, N. (2013). Latent dirichlet allocation models for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11), 2665 - 2679. doi: 10.1109/TPAMI.2013.69. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/67n1z5ws","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W4952878","https://openalex.org/W190008395","https://openalex.org/W1488195763","https://openalex.org/W1625255723","https://openalex.org/W1663973292","https://openalex.org/W1669437150","https://openalex.org/W1732828232","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1969486090","https://openalex.org/W1973192023","https://openalex.org/W2006031689","https://openalex.org/W2090042335","https://openalex.org/W2098062695","https://openalex.org/W2101101940","https://openalex.org/W2107034620","https://openalex.org/W2107743791","https://openalex.org/W2122683976","https://openalex.org/W2125238156","https://openalex.org/W2125574651","https://openalex.org/W2131846894","https://openalex.org/W2133014420","https://openalex.org/W2136179959","https://openalex.org/W2141197099","https://openalex.org/W2141303268","https://openalex.org/W2158866759","https://openalex.org/W2161050705","https://openalex.org/W2162915993","https://openalex.org/W2325227998","https://openalex.org/W2334889010","https://openalex.org/W2490662969","https://openalex.org/W3123554940","https://openalex.org/W4212863985","https://openalex.org/W4233135949","https://openalex.org/W4237791300","https://openalex.org/W4252381709","https://openalex.org/W6607826182","https://openalex.org/W6636494156","https://openalex.org/W6674735981","https://openalex.org/W6678087110","https://openalex.org/W6683424894"],"related_works":["https://openalex.org/W2146076056","https://openalex.org/W2380927352","https://openalex.org/W1968332688","https://openalex.org/W2350891938","https://openalex.org/W2891847116","https://openalex.org/W2181610043","https://openalex.org/W2134472250","https://openalex.org/W2811390910","https://openalex.org/W2159118812","https://openalex.org/W2151022383"],"abstract_inverted_index":{"Two":[0],"new":[1],"extensions":[2],"of":[3,23,37,69,86,95,115,121,130,141,155,177,182],"latent":[4],"Dirichlet":[5],"allocation":[6],"(LDA),":[7],"denoted":[8],"topic-supervised":[9],"LDA":[10,14,26,87,109,116,133],"(ts-LDA)":[11],"and":[12],"class-specific-simplex":[13],"(css-LDA),":[15],"are":[16,58,78,147],"proposed":[17],"for":[18,30,71,97],"image":[19,62,142,205],"classification.":[20,72,98],"An":[21],"analysis":[22],"the":[24,35,41,55,66,82,93,113,128,139,174,180],"supervised":[25],"models":[27,46,77],"currently":[28],"used":[29],"this":[31,100],"task":[32],"shows":[33],"that":[34,54],"impact":[36],"class":[38,136],"information":[39],"on":[40],"topics":[42,57,146,156],"discovered":[43,56,148],"by":[44,60,127,162],"these":[45],"is":[47,125,160,170,186,199],"very":[48],"weak":[49],"in":[50,102,104],"general.":[51],"This":[52,123],"implies":[53],"driven":[59],"general":[61],"regularities,":[63],"rather":[64],"than":[65],"semantic":[67],"regularities":[68],"interest":[70,96],"To":[73],"address":[74],"this,":[75],"ts-LDA":[76],"introduced":[79],"which":[80],"replace":[81],"automated":[83],"topic":[84,165],"discovery":[85],"with":[88,135,179],"specified":[89],"topics,":[90],"identical":[91],"to":[92,117,172,201],"classes":[94,159],"While":[99],"results":[101],"improvements":[103],"classification":[105,206],"accuracy":[106],"over":[107],"existing":[108,203],"models,":[110],"it":[111,198],"compromises":[112],"ability":[114],"discover":[118],"unanticipated":[119],"structure":[120],"interest.":[122],"limitation":[124],"addressed":[126],"introduction":[129],"css-LDA,":[131],"an":[132,189],"model":[134,169],"supervision":[137],"at":[138],"level":[140],"features.":[143],"In":[144],"css-LDA":[145,168],"per":[149],"class,":[150],"i.e.,":[151],"a":[152],"single":[153],"set":[154],"shared":[157],"across":[158],"replaced":[161],"multiple":[163,194],"class-specific":[164],"sets.":[166],"The":[167],"shown":[171,200],"combine":[173],"labeling":[175],"strength":[176],"topic-supervision":[178],"flexibility":[181],"topic-discovery.":[183],"Its":[184],"effectiveness":[185],"demonstrated":[187],"through":[188],"extensive":[190],"experimental":[191],"evaluation,":[192],"involving":[193],"benchmark":[195],"datasets,":[196],"where":[197],"outperform":[202],"LDA-based":[204],"approaches.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":9}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
