{"id":"https://openalex.org/W1972930701","doi":"https://doi.org/10.1142/s0218001497000445","title":"ORACLE: An Integrated Learning Approach for Object Recognition","display_name":"ORACLE: An Integrated Learning Approach for Object Recognition","publication_year":1997,"publication_date":"1997-09-01","ids":{"openalex":"https://openalex.org/W1972930701","doi":"https://doi.org/10.1142/s0218001497000445","mag":"1972930701"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001497000445","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000445","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5111540986","display_name":"John Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Ming","raw_affiliation_strings":["College of Engineering,  University of California, Riverside, CA\u200992521, USA","College of Engineering, University of California, Riverside, CA 92521,#N#USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering,  University of California, Riverside, CA\u200992521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"College of Engineering, University of California, Riverside, CA 92521,#N#USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071522801","display_name":"Bir Bhanu","orcid":"https://orcid.org/0000-0001-8971-6416"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bir Bhanu","raw_affiliation_strings":["College of Engineering,  University of California, Riverside, CA\u200992521, USA","College of Engineering, University of California, Riverside, CA 92521,#N#USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering,  University of California, Riverside, CA\u200992521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"College of Engineering, University of California, Riverside, CA 92521,#N#USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6046,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74746181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"06","first_page":"961","last_page":"990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9884999990463257,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9840999841690063,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9757000207901001,"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/computer-science","display_name":"Computer science","score":0.8139302134513855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6729907989501953},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.6423227190971375},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6398030519485474},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6008211970329285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5915803909301758},{"id":"https://openalex.org/keywords/object-model","display_name":"Object model","score":0.5603553056716919},{"id":"https://openalex.org/keywords/method","display_name":"Method","score":0.5322088599205017},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.5224441885948181},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4856630563735962},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.47158873081207275},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4202006161212921},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4121433198451996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3294692635536194},{"id":"https://openalex.org/keywords/object-oriented-programming","display_name":"Object-oriented programming","score":0.3146974444389343},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11763527989387512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8139302134513855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729907989501953},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.6423227190971375},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6398030519485474},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6008211970329285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5915803909301758},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.5603553056716919},{"id":"https://openalex.org/C512554520","wikidata":"https://www.wikidata.org/wiki/Q815844","display_name":"Method","level":3,"score":0.5322088599205017},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.5224441885948181},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4856630563735962},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.47158873081207275},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4202006161212921},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4121433198451996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3294692635536194},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.3146974444389343},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11763527989387512},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1142/s0218001497000445","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000445","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/W196505194","https://openalex.org/W2046953865","https://openalex.org/W113382539","https://openalex.org/W2587477420","https://openalex.org/W2188151889","https://openalex.org/W2144684827","https://openalex.org/W2191130262","https://openalex.org/W1563300717","https://openalex.org/W1830968567","https://openalex.org/W2040220294"],"abstract_inverted_index":{"Model-based":[0],"object":[1,21,39,50,70,133,178],"recognition":[2,25,40,64],"has":[3],"become":[4],"a":[5,28,34,48,63,84,113,137,176,204],"popular":[6],"paradigm":[7],"in":[8,112],"computer":[9],"vision":[10,18],"research.":[11],"In":[12,75],"most":[13],"of":[14,67,132,170,195,206],"the":[15,20,130,166,183,196],"current":[16],"model-based":[17],"systems,":[19],"models":[22],"used":[23,162],"for":[24],"are":[26],"generally":[27],"priori":[29],"given":[30],"(e.g.":[31],"obtained":[32],"using":[33,203],"CAD":[35],"model).":[36],"For":[37],"many":[38],"applications,":[41],"it":[42,58],"is":[43,59,151,161],"not":[44],"realistic":[45],"to":[46,61,77,118,163,185],"utilize":[47],"fixed":[49],"model":[51,55,71,134,179],"database":[52,180,205],"with":[53],"static":[54],"features.":[56],"Rather,":[57],"desirable":[60],"have":[62,82],"system":[65,85,184,198],"capable":[66],"performing":[68],"automated":[69],"acquisition":[72],"and":[73,106,125,154,199],"refinement.":[74],"order":[76],"achieve":[78],"these":[79,141],"capabilities,":[80],"we":[81],"developed":[83],"called":[86],"ORACLE:":[87],"Object":[88],"Recognition":[89],"Accomplished":[90],"through":[91],"Consolidated":[92],"Learning":[93,104,158],"Expertise.":[94],"It":[95],"uses":[96],"two":[97],"machine":[98],"learning":[99],"techniques":[100],"known":[101],"as":[102],"Explanation-Based":[103],"(EBL)":[105],"Structured":[107],"Conceptual":[108],"Clustering":[109],"(SCC)":[110],"combined":[111],"synergistic":[114],"manner.":[115],"As":[116],"compared":[117],"systems":[119],"which":[120,150,181],"learn":[121],"from":[122,136,159],"numerous":[123],"positive":[124],"negative":[126],"examples,":[127],"EBL":[128],"allows":[129,182],"generalization":[131],"descriptions":[135],"single":[138],"example.":[139],"Using":[140],"generalized":[142],"descriptions,":[143],"SCC":[144],"constructs":[145],"an":[146,193],"efficient":[147],"classification":[148],"tree":[149],"incremently":[152],"built":[153],"modified":[155],"over":[156,189],"time.":[157,190],"experience":[160],"dynamically":[164],"update":[165],"specific":[167],"feature":[168],"values":[169],"each":[171],"object.":[172],"These":[173],"capabilities":[174],"provide":[175,192],"dynamic":[177],"exhibit":[186],"improved":[187],"performance":[188],"We":[191],"overview":[194],"ORACLE":[197],"present":[200],"experimental":[201],"results":[202],"thirty":[207],"aircraft":[208],"models.":[209]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}