{"id":"https://openalex.org/W2103133440","doi":null,"title":"Decision trees for probabilistic top-down and bottom-up integration","display_name":"Decision trees for probabilistic top-down and bottom-up integration","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2103133440","mag":"2103133440"},"language":"en","primary_location":{"id":"mag:2103133440","doi":null,"is_oa":false,"landing_page_url":"https://edoc.sub.uni-hamburg.de/informatik/volltexte/2009/94/pdf/B_288_09.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5053472065","display_name":"Kasim Terzi\u0107","orcid":"https://orcid.org/0000-0001-6692-209X","observed_orcids":["https://orcid.org/0000-0001-6692-209X"]},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kasim Terzi\u0107","raw_affiliation_strings":["UNIVERSITY OF HAMBURG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIVERSITY OF HAMBURG","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043426917","display_name":"Bernd Neumann","orcid":"https://orcid.org/0000-0002-3580-2105","observed_orcids":["https://orcid.org/0000-0002-3580-2105"]},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Neumann","raw_affiliation_strings":["UNIVERSITY OF HAMBURG"],"raw_orcid":"https://orcid.org/0000-0002-3580-2105","affiliations":[{"raw_affiliation_string":"UNIVERSITY OF HAMBURG","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159176309"],"apc_list":null,"apc_paid":null,"fwci":0.9721,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79976378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.267300009727478,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.267300009727478,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.10100000351667404,"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":0.0877000018954277,"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/decision-tree","display_name":"decision tree","score":0.9509999752044678},{"id":"https://openalex.org/keywords/scene-understanding","display_name":"scene understanding","score":0.7049999833106995},{"id":"https://openalex.org/keywords/top-down-and-bottom-up-integration","display_name":"top-down and bottom-up integration","score":0.8740000128746033},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"probabilistic classification","score":0.6840000152587891},{"id":"https://openalex.org/keywords/class-probability-estimation","display_name":"class probability estimation","score":0.8069999814033508},{"id":"https://openalex.org/keywords/feature-vectors","display_name":"feature vectors","score":0.7379999756813049},{"id":"https://openalex.org/keywords/contextual-information","display_name":"contextual information","score":0.7049999833106995},{"id":"https://openalex.org/keywords/ontology-mapping","display_name":"ontology mapping","score":0.6230000257492065},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.45100000500679016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082264184951782},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5850907564163208},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5020599365234375},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49175313115119934},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42988812923431396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3588494658470154},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1528625190258026},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2103133440","doi":null,"is_oa":false,"landing_page_url":"https://edoc.sub.uni-hamburg.de/informatik/volltexte/2009/94/pdf/B_288_09.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W38858992","https://openalex.org/W173341582","https://openalex.org/W180618792","https://openalex.org/W203696055","https://openalex.org/W1495878742","https://openalex.org/W1501129975","https://openalex.org/W1574862351","https://openalex.org/W1590446719","https://openalex.org/W1598033630","https://openalex.org/W1746737644","https://openalex.org/W1964568595","https://openalex.org/W1998940985","https://openalex.org/W2006431677","https://openalex.org/W2093568410","https://openalex.org/W2096349671","https://openalex.org/W2099345940","https://openalex.org/W2134696506","https://openalex.org/W2139910373","https://openalex.org/W2151103935","https://openalex.org/W2277573101","https://openalex.org/W2293245575","https://openalex.org/W2341849865","https://openalex.org/W2408574912","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W1877107390","https://openalex.org/W1515390053","https://openalex.org/W56479147","https://openalex.org/W7095628201","https://openalex.org/W2013335841","https://openalex.org/W1579885150","https://openalex.org/W191304430","https://openalex.org/W1828733545","https://openalex.org/W2396436632","https://openalex.org/W2762266136"],"abstract_inverted_index":{"Scene":[0],"interpretation":[1],"systems":[2],"need":[3],"to":[4,10,54],"match":[5],"(often":[6],"ambiguous)":[7],"lowlevel\r\ninput":[8],"data":[9],"concepts":[11],"from":[12,25],"a":[13],"high-level":[14],"ontology.":[15],"In":[16,27,83],"many":[17],"domains,\r\nthese":[18],"decisions":[19],"are":[20],"uncertain":[21],"and":[22],"bene\ft":[23],"greatly":[24],"proper\r\ncontext.":[26],"this":[28],"paper,":[29],"we":[30],"demonstrate":[31],"the":[32],"use":[33],"of":[34],"decision":[35],"trees":[36],"for\r\nestimating":[37],"class":[38],"probabilities":[39],"for":[40],"regions":[41],"described":[42],"by":[43],"feature":[44],"vectors,\r\nand":[45],"show":[46],"how":[47],"context":[48],"can":[49],"be":[50],"introduced":[51],"in":[52,75],"order":[53],"improve":[55],"the\r\nmatching":[56],"performance.\nEine":[57],"der":[58],"Aufgaben,":[59],"die":[60,63,92,107],"Szeneninterpretationssysteme":[61],"erledigen,\r\nist":[62],"Zuordnung":[64],"von":[65],"mehrdeutigen":[66],"Bildverarbeitungsergebnissen":[67],"zu\r\nKonzepten":[68],"aus":[69],"einer":[70],"Ontologie.":[71],"Diese":[72],"Entscheidungen":[73],"sind":[74],"vielen\r\nDomanen":[76],"unsicher":[77],"und":[78,99],"konnen":[79],"durch":[80],"Kontextinformationen":[81,103],"verbessert\r\nwerden.":[82],"diesem":[84],"Bericht":[85],"stellen":[86],"wir":[87,100],"einen":[88],"Einsatz":[89],"vor,":[90],"wo":[91],"Klassenwahrscheinlichkeiten":[93],"fur":[94],"Bildregionen":[95],"mittels":[96],"Entscheidungsbaumen\r\ngeschatzt":[97],"werden,":[98],"zeigen":[101],"wie":[102],"genutzt\r\nwerden":[104],"konnen,":[105],"um":[106],"Klassi\fkationsrate":[108],"zu":[109],"verbessern.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
