{"id":"https://openalex.org/W2148126890","doi":"https://doi.org/10.1109/cvprw.2009.5204335","title":"Generative hierarchical models for image analysis","display_name":"Generative hierarchical models for image analysis","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2148126890","doi":"https://doi.org/10.1109/cvprw.2009.5204335","mag":"2148126890"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204335","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5040941243","display_name":"Stuart Geman","orcid":null},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stuart Geman","raw_affiliation_strings":["Division of Applied Mathematics, Brown University, USA"],"affiliations":[{"raw_affiliation_string":"Division of Applied Mathematics, Brown University, USA","institution_ids":["https://openalex.org/I175594653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040941243"],"corresponding_institution_ids":["https://openalex.org/I175594653"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12064826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9957000017166138,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9957000017166138,"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":0.9824000000953674,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9797999858856201,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6972215175628662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944382190704346},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6791678667068481},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6210939288139343},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5447987914085388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5441582798957825},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4894379675388336},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.45902711153030396},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4582606256008148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4520804286003113},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4332961440086365},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.375670462846756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33565977215766907},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09652131795883179}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6972215175628662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944382190704346},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6791678667068481},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6210939288139343},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5447987914085388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5441582798957825},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4894379675388336},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.45902711153030396},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4582606256008148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4520804286003113},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4332961440086365},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.375670462846756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33565977215766907},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09652131795883179},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204335","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W2080046252","https://openalex.org/W3014948380","https://openalex.org/W2912839758","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360"],"abstract_inverted_index":{"A":[0],"probabilistic":[1],"grammar":[2],"for":[3,30,74,114],"the":[4,34,37,47,68,94,110,122],"groupings":[5],"and":[6,10,17,26,106,142,153],"labeling":[7],"of":[8,96,103,109,124],"parts":[9],"objects,":[11],"when":[12],"taken":[13],"together":[14],"with":[15],"pose":[16],"part-dependent":[18],"appearance":[19,127],"models,":[20,78],"constitutes":[21],"a":[22,27,107,148,151,154],"generative":[23,38,76,98],"scene":[24,77],"model":[25,39],"Bayesian":[28],"framework":[29],"image":[31,115,156],"analysis.":[32],"To":[33],"extent":[35],"that":[36,81],"generates":[40],"features,":[41],"as":[42,138,158],"opposed":[43],"to":[44,66,93],"pixel":[45],"intensities,":[46],"\"inverse\"":[48],"or":[49],"\"posterior":[50],"distribution\"":[51],"on":[52,58,121,135],"interpretations":[53],"given":[54,155],"images":[55],"is":[56],"based":[57,134],"incomplete":[59],"information;":[60],"feature":[61],"vectors":[62],"are":[63],"generally":[64],"insufficient":[65],"recover":[67],"original":[69],"intensities.":[70],"I":[71,88,118,129],"will":[72,89,119,130],"argue":[73],"fully":[75,97],"meaning":[79],"models":[80,99,113],"in":[82],"principle":[83],"generate":[84],"actual":[85],"digital":[86],"pictures.":[87],"outline":[90],"an":[91,101,132,159],"approach":[92,133],"construction":[95],"through":[100],"extension":[102],"context-sensitive":[104],"grammars":[105],"re-formulation":[108],"popular":[111],"template":[112,152],"fragments.":[116],"Mostly":[117],"focus":[120],"problem":[123],"constructing":[125],"pixel-level":[126],"models.":[128],"propose":[131],"image-fragment":[136],"templates,":[137],"introduced":[139],"by":[140],"Ullman":[141],"others.":[143],"However,":[144],"rather":[145],"than":[146],"using":[147],"correlation":[149],"between":[150],"patch":[157],"extracted":[160],"feature.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}