{"id":"https://openalex.org/W1237306684","doi":"https://doi.org/10.1145/1185657.1185789","title":"Perceptually based learning of shape descriptions for sketch recognition","display_name":"Perceptually based learning of shape descriptions for sketch recognition","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1237306684","doi":"https://doi.org/10.1145/1185657.1185789","mag":"1237306684"},"language":"en","primary_location":{"id":"doi:10.1145/1185657.1185789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1185657.1185789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2006 Courses on   - SIGGRAPH '06","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/A5071591164","display_name":"Olya Veselova","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Olya Veselova","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA","Microsoft Corporation, One Microsoft Way, Redmond, WA and MIT CSAIL, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corporation, One Microsoft Way, Redmond, WA and MIT CSAIL, Cambridge, MA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112777557","display_name":"Randall Davis","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randall Davis","raw_affiliation_strings":["MIT CSAIL, Cambridge, MA","Microsoft Corporation, One Microsoft Way, Redmond, WA and MIT CSAIL, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Microsoft Corporation, One Microsoft Way, Redmond, WA and MIT CSAIL, Cambridge, MA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071591164"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":3.1145,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91846577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.987500011920929,"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/T10799","display_name":"Data Visualization and Analytics","score":0.987500011920929,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7886712551116943},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.7335521578788757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787394285202026},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.6534323692321777},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.611866295337677},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5991878509521484},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5584709048271179},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5396267771720886},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5143483877182007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009167194366455},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4996328353881836},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4358825385570526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10584110021591187},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10473698377609253},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1046285629272461},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08902615308761597}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7886712551116943},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.7335521578788757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787394285202026},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.6534323692321777},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.611866295337677},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5991878509521484},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5584709048271179},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5396267771720886},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5143483877182007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009167194366455},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4996328353881836},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4358825385570526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10584110021591187},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10473698377609253},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1046285629272461},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08902615308761597},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1185657.1185789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1185657.1185789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2006 Courses on   - SIGGRAPH '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.6602","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.6602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/projects/rationale/PDFfiles/AAAI104OlyaV.pdf","raw_type":"text"},{"id":"mag:1237306684","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/aaai/aaai2004.html#VeselovaD04","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W132232344","https://openalex.org/W186581783","https://openalex.org/W1529056873","https://openalex.org/W1984325917","https://openalex.org/W2009373342","https://openalex.org/W2068091162","https://openalex.org/W2101609577","https://openalex.org/W2107193714","https://openalex.org/W2153360297","https://openalex.org/W2155506463","https://openalex.org/W2992359569","https://openalex.org/W3000063644"],"related_works":["https://openalex.org/W2120339270","https://openalex.org/W2153360297","https://openalex.org/W13629514","https://openalex.org/W6905414","https://openalex.org/W2159708267","https://openalex.org/W1532437437","https://openalex.org/W2134296983","https://openalex.org/W1976890290","https://openalex.org/W1486382540","https://openalex.org/W244793653","https://openalex.org/W2143549856","https://openalex.org/W2138482372","https://openalex.org/W2125045358","https://openalex.org/W2122130267","https://openalex.org/W2109751061","https://openalex.org/W1977198981","https://openalex.org/W186581783","https://openalex.org/W1518661169","https://openalex.org/W138330923","https://openalex.org/W2127639245"],"abstract_inverted_index":{"We":[0,31],"are":[1],"interested":[2],"in":[3,19,63],"enabling":[4],"a":[5,41,60,70,85,95,104,112],"generic":[6],"sketch":[7],"recognition":[8],"system":[9,37,86,128],"that":[10,126],"would":[11,32],"allow":[12],"more":[13],"natural":[14],"interaction":[15],"with":[16,130],"design":[17],"tools":[18],"various":[20],"domains,":[21],"such":[22,81],"as":[23,53,55,136,138],"mechanical":[24],"engineering,":[25],"military":[26],"planning,":[27],"logic":[28],"design,":[29],"etc.":[30],"like":[33],"to":[34,58,75],"teach":[35,59],"the":[36,38,120,127,131],"symbols":[39,93],"for":[40],"particular":[42],"domain":[43],"by":[44],"simply":[45],"drawing":[46],"an":[47],"example":[48],"of":[49,88,91,119],"each":[50],"one":[51],"--":[52],"easy":[54],"it":[56],"is":[57,101],"person.":[61],"Studies":[62],"cognitive":[64],"science":[65],"suggest":[66],"that,":[67],"when":[68],"shown":[69],"symbol,":[71],"people":[72],"attend":[73],"preferentially":[74],"certain":[76],"geometric":[77],"features.":[78],"Relying":[79],"on":[80,114],"biases,":[82],"we":[83],"built":[84],"capable":[87],"learning":[89],"descriptions":[90],"hand-drawn":[92],"from":[94,103],"single":[96],"example.":[97],"The":[98],"generalization":[99],"power":[100],"derived":[102],"qualitative":[105],"vocabulary":[106],"reflecting":[107],"human":[108],"perceptual":[109],"categories":[110],"and":[111],"focus":[113],"perceptually":[115],"relevant":[116],"global":[117],"properties":[118],"symbol.":[121],"Our":[122],"user":[123],"study":[124],"shows":[125],"agrees":[129],"subjects'":[132],"majority":[133],"classification":[134],"about":[135],"often":[137],"any":[139],"individual":[140],"subject":[141],"did.":[142]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
