{"id":"https://openalex.org/W2404979898","doi":null,"title":"Bayesian vector analysis and the perception of hierarchical motion","display_name":"Bayesian vector analysis and the perception of hierarchical motion","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2404979898","mag":"2404979898"},"language":"en","primary_location":{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:106097","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/view/person/Gershman=3ASamuel=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"},"volume":null,"type":"conference-paper","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/A5031715686","display_name":"Samuel Joseph Gershman","orcid":"https://orcid.org/0000-0002-6546-3298","observed_orcids":["https://orcid.org/0000-0002-6546-3298"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel J. Gershman","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-6546-3298","affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071328699","display_name":"Frank J\u00e4kel","orcid":"https://orcid.org/0000-0002-1355-7663","observed_orcids":["https://orcid.org/0000-0002-1355-7663"]},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank J\u00e4kel","raw_affiliation_strings":["University of Osnabruck"],"raw_orcid":"https://orcid.org/0000-0002-1355-7663","affiliations":[{"raw_affiliation_string":"University of Osnabruck","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071093940","display_name":"Joshua B. Tenenbaum","orcid":"https://orcid.org/0000-0002-1925-2035","observed_orcids":["https://orcid.org/0000-0002-1925-2035","https://orcid.org/0000-0002-0138-163X"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua B. Tenenbaum","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-1925-2035","affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4443,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"35","issue":"35","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":9.999999747378752e-05,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":9.999999747378752e-05,"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/vector-calculus","display_name":"vector calculus","score":0.8389999866485596},{"id":"https://openalex.org/keywords/bayesian-theory","display_name":"Bayesian theory","score":0.7799999713897705},{"id":"https://openalex.org/keywords/dot-motion","display_name":"dot motion","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6435565948486328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017670035362244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899092555046082},{"id":"https://openalex.org/C48575856","wikidata":"https://www.wikidata.org/wiki/Q852504","display_name":"Motion perception","level":3,"score":0.5744761228561401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.53269362449646},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4844968020915985},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4803151488304138},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4516791105270386},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.44668468832969666},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.44373059272766113},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12537530064582825},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:106097","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/view/person/Gershman=3ASamuel=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.348.3956","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.348.3956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/sjgershm/www/GershmanJaekelTenenbaum13.pdf","raw_type":"text"},{"id":"mag:2404979898","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt9fm7g6jp/qt9fm7g6jp.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S78735424","display_name":"Cognitive Science","issn_l":"0364-0213","issn":["0364-0213","1551-6709"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cognitive Science","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":19,"referenced_works":["https://openalex.org/W1519344860","https://openalex.org/W1973201812","https://openalex.org/W1989285072","https://openalex.org/W2001267357","https://openalex.org/W2005456988","https://openalex.org/W2014180162","https://openalex.org/W2036679319","https://openalex.org/W2052732076","https://openalex.org/W2063217461","https://openalex.org/W2097099938","https://openalex.org/W2099634219","https://openalex.org/W2110958718","https://openalex.org/W2131398766","https://openalex.org/W2140074156","https://openalex.org/W2148596731","https://openalex.org/W2150286230","https://openalex.org/W2168513221","https://openalex.org/W2945920340","https://openalex.org/W4245588774"],"related_works":["https://openalex.org/W2001422813","https://openalex.org/W4409012208","https://openalex.org/W2974776111","https://openalex.org/W3087317694","https://openalex.org/W6962580934","https://openalex.org/W2118130489","https://openalex.org/W2568978241","https://openalex.org/W2609355376","https://openalex.org/W3095869513","https://openalex.org/W4310965534"],"abstract_inverted_index":{"Scenes":[0],"filled":[1],"with":[2,61],"moving":[3,65,85,142],"objects":[4],"are":[5,46,144],"often":[6],"hierarchically":[7],"organized:":[8],"the":[9,18,24,32,39,41,49,52,76],"motion":[10,25,42,50,72,132],"of":[11,21,26,35,43,51,70,84,118],"a":[12,27,80,105,115,137],"migrating":[13],"goose":[14],"is":[15,29],"nested":[16,30,47],"within":[17,31],"flight":[19],"pattern":[20,34],"its":[22],"flock,":[23],"car":[28],"traffic":[33],"other":[36],"cars":[37],"on":[38],"road,":[40],"body":[44],"parts":[45],"in":[48,59],"body.":[53],"Humans":[54],"perceive":[55],"hierarchical":[56,71],"structure":[57],"even":[58],"stimuli":[60],"two":[62],"or":[63],"three":[64],"dots.":[66],"An":[67],"influential":[68],"theory":[69,96,117,135],"perception":[73],"holds":[74],"that":[75,123],"visual":[77],"system":[78],"performs":[79],"\u201cvector":[81],"analysis":[82,120],"\u201d":[83],"objects,":[86],"decomposing":[87],"them":[88],"into":[89,146],"common":[90],"and":[91,121],"relative":[92],"motions.":[93],"However,":[94],"this":[95],"does":[97],"not":[98],"specify":[99],"how":[100,141],"to":[101],"resolve":[102],"ambiguity":[103],"when":[104],"scene":[106],"admits":[107],"more":[108],"than":[109],"one":[110],"vector":[111,119],"analysis.":[112],"We":[113],"describe":[114],"Bayesian":[116],"show":[122],"it":[124],"can":[125],"account":[126],"for":[127],"classic":[128],"results":[129],"from":[130],"dot":[131],"experiments.":[133],"Our":[134],"takes":[136],"step":[138],"towards":[139],"understanding":[140],"scenes":[143],"parsed":[145],"objects.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
