{"id":"https://openalex.org/W2137674257","doi":"https://doi.org/10.1109/sbrn.2002.1181479","title":"Extraction of visual information using maximum likelihood Hebbian learning","display_name":"Extraction of visual information using maximum likelihood Hebbian learning","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2137674257","doi":"https://doi.org/10.1109/sbrn.2002.1181479","mag":"2137674257"},"language":"en","primary_location":{"id":"doi:10.1109/sbrn.2002.1181479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbrn.2002.1181479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037077763","display_name":"Emilio Corchado","orcid":"https://orcid.org/0000-0001-8560-3991"},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E. Corchado","raw_affiliation_strings":["Area de Lenguajes y SiSaint Inform\u00e1ticos, Departmento de Ingenieria Civil, Universidad de Burgos, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Area de Lenguajes y SiSaint Inform\u00e1ticos, Departmento de Ingenieria Civil, Universidad de Burgos, Spain","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038508966","display_name":"Colin Fyfe","orcid":null},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. Fyfe","raw_affiliation_strings":["Applied Computational Intelligence Research Unit, University of Paisley, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Computational Intelligence Research Unit, University of Paisley, UK","institution_ids":["https://openalex.org/I868834043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26313328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"227","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9936000108718872,"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/T10320","display_name":"Neural Networks and Applications","score":0.986299991607666,"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/hebbian-theory","display_name":"Hebbian theory","score":0.9862794876098633},{"id":"https://openalex.org/keywords/leabra","display_name":"Leabra","score":0.8354310989379883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227678298950195},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.5924103260040283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553876757621765},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4744739830493927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37278345227241516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36129677295684814},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.15096092224121094}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.9862794876098633},{"id":"https://openalex.org/C97108695","wikidata":"https://www.wikidata.org/wiki/Q6508265","display_name":"Leabra","level":5,"score":0.8354310989379883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227678298950195},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.5924103260040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553876757621765},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4744739830493927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37278345227241516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36129677295684814},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.15096092224121094},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbrn.2002.1181479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbrn.2002.1181479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W45349167","https://openalex.org/W774511903","https://openalex.org/W1481824215","https://openalex.org/W1521379963","https://openalex.org/W1554663460","https://openalex.org/W1964357740","https://openalex.org/W1976045444","https://openalex.org/W1983540266","https://openalex.org/W1985678020","https://openalex.org/W2023963201","https://openalex.org/W2074033194","https://openalex.org/W2078468460","https://openalex.org/W2080958785","https://openalex.org/W2082612735","https://openalex.org/W2085927826","https://openalex.org/W2101933716","https://openalex.org/W2116210522","https://openalex.org/W2127966792","https://openalex.org/W2134718324","https://openalex.org/W2180838288","https://openalex.org/W2798766386","https://openalex.org/W4235178178","https://openalex.org/W4241309083","https://openalex.org/W4321262106","https://openalex.org/W6601794517","https://openalex.org/W6641163509","https://openalex.org/W6849743381"],"related_works":["https://openalex.org/W2590565095","https://openalex.org/W4387853727","https://openalex.org/W2896927215","https://openalex.org/W1950019275","https://openalex.org/W3180828476","https://openalex.org/W2899454144","https://openalex.org/W4321853849","https://openalex.org/W1483579134","https://openalex.org/W2963219950","https://openalex.org/W1615412613"],"abstract_inverted_index":{"We":[0,25,49,79],"explore":[1],"an":[2],"extension":[3],"of":[4,36,63],"Hebbian":[5,13,54,66],"learning":[6,55,67],"which":[7],"has":[8],"been":[9],"called":[10],"/spl":[11,52],"epsiv/-insensitive":[12,53],"learning,":[14],"and":[15,39,68,76],"derive":[16],"lateral":[17,28],"connections":[18,29],"from":[19],"a":[20,60],"probability":[21],"density":[22],"function":[23],"(PDF).":[24],"use":[26,40],"these":[27],"to":[30,44,88],"move":[31],"outputs":[32,43],"towards":[33],"the":[34,37,41,46,70,83,92],"mode":[35],"PDF":[38],"resulting":[42,71,84],"train":[45],"feedforward":[47],"connections.":[48],"show":[50,81],"that":[51,82],"may":[56],"be":[57],"considered":[58],"as":[59],"special":[61],"case":[62],"maximum":[64],"likelihood":[65],"investigate":[69],"network":[72,85],"with":[73],"both":[74],"real":[75],"artificial":[77],"data.":[78],"finally":[80],"is":[86],"able":[87],"identify":[89],"motion":[90],"in":[91],"environment.":[93]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}