{"id":"https://openalex.org/W2078057175","doi":"https://doi.org/10.1109/socc.2012.6398366","title":"A massive parallel neuromorphic computing model for intelligent text recognition","display_name":"A massive parallel neuromorphic computing model for intelligent text recognition","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2078057175","doi":"https://doi.org/10.1109/socc.2012.6398366","mag":"2078057175"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2012.6398366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","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/A5018468480","display_name":"Qinru Qiu","orcid":"https://orcid.org/0000-0003-2546-0655"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qinru Qiu","raw_affiliation_strings":["Electrical Engineering &amp; Computer Science, Syracuse University, Syracuse, NY"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering &amp; Computer Science, Syracuse University, Syracuse, NY","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018468480"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1144621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8708000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.8708000183105469,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8572999835014343,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.7540000081062317,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9336546659469604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8415442705154419},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6042561531066895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49141252040863037},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47008776664733887},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4509066641330719},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4430510997772217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28679364919662476},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1941078007221222}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9336546659469604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415442705154419},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6042561531066895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49141252040863037},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47008776664733887},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4509066641330719},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4430510997772217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28679364919662476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1941078007221222},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2012.6398366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W3033201189"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"In":[4],"this":[5,65],"talk,":[6],"we":[7],"present":[8],"a":[9,36],"parallel":[10],"neuromorphic":[11,106],"computing":[12,30,66,107,127],"model":[13,31,67,108,128],"and":[14,45,58,96],"its":[15],"application":[16],"in":[17,132],"context-aware":[18],"Intelligent":[19],"Text":[20],"Recognition":[21],"(ITR).":[22],"The":[23,60,76,104],"information":[24,52],"processing":[25],"flow":[26],"of":[27,35,43,73,93],"the":[28,33,70,87,94,125],"proposed":[29,105,126],"imitates":[32],"function":[34],"neocortex":[37],"system.":[38],"It":[39],"incorporates":[40],"large":[41,136],"number":[42],"simple":[44],"fuzzy":[46],"pattern":[47],"detection":[48],"modules":[49],"with":[50,135],"advanced":[51],"association":[53],"layer":[54,72],"to":[55,115],"achieve":[56],"perception":[57],"recognition.":[59,103],"ITR":[61],"system":[62,77],"based":[63,85],"on":[64,86,118],"serves":[68],"as":[69],"physical":[71],"machine":[74],"reading.":[75],"learns":[78],"from":[79],"what":[80],"has":[81],"been":[82],"read":[83],"and,":[84],"obtained":[88],"knowledge,":[89],"it":[90],"forms":[91],"anticipations":[92],"word":[95],"sentence":[97],"level":[98],"context,":[99],"which":[100],"helps":[101],"image":[102],"is":[109],"naturally":[110],"massive":[111],"parallel,":[112],"hence":[113],"ideal":[114],"be":[116],"implemented":[117],"future":[119],"many-core":[120],"processors.":[121],"Experiments":[122],"show":[123],"that":[124],"provides":[129],"robust":[130],"performance":[131],"recognizing":[133],"images":[134],"noise.":[137]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
