{"id":"https://openalex.org/W1990759786","doi":"https://doi.org/10.1109/mlsp.2013.6661977","title":"Inducing discrimination in biologically inspired models of visual scene recognition","display_name":"Inducing discrimination in biologically inspired models of visual scene recognition","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1990759786","doi":"https://doi.org/10.1109/mlsp.2013.6661977","mag":"1990759786"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2013.6661977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2013.6661977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5063992873","display_name":"Tayyaba Azim","orcid":"https://orcid.org/0000-0002-6940-7955"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tayyaba Azim","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]},{"raw_affiliation_string":"Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK#TAB#","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033579333","display_name":"Mahesan Niranjan","orcid":"https://orcid.org/0000-0001-7021-140X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesan Niranjan","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]},{"raw_affiliation_string":"Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK#TAB#","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.2288,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.45037852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980999827384949,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9929999709129333,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7800790071487427},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7691647410392761},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.7590429782867432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301151752471924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6743531823158264},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6089860796928406},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6067025661468506},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5827540159225464},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5396416783332825},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5390896201133728},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4839361310005188},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43517494201660156},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4235609471797943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4145377278327942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800790071487427},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7691647410392761},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.7590429782867432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301151752471924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6743531823158264},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6089860796928406},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6067025661468506},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5827540159225464},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5396416783332825},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5390896201133728},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4839361310005188},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43517494201660156},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4235609471797943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4145377278327942},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2013.6661977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2013.6661977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1510073064","https://openalex.org/W1594551768","https://openalex.org/W1606858007","https://openalex.org/W1964155876","https://openalex.org/W1986462127","https://openalex.org/W1994410331","https://openalex.org/W2000123870","https://openalex.org/W2006500012","https://openalex.org/W2020604100","https://openalex.org/W2046150170","https://openalex.org/W2081519360","https://openalex.org/W2091845343","https://openalex.org/W2096192494","https://openalex.org/W2112796928","https://openalex.org/W2113651538","https://openalex.org/W2116064496","https://openalex.org/W2116360511","https://openalex.org/W2124386111","https://openalex.org/W2126833203","https://openalex.org/W2136922672","https://openalex.org/W2141125852","https://openalex.org/W2154053567","https://openalex.org/W2161969291","https://openalex.org/W2166473218","https://openalex.org/W2528910155","https://openalex.org/W6601785968","https://openalex.org/W6636412649","https://openalex.org/W6677106874","https://openalex.org/W6684116732","https://openalex.org/W6728390695"],"related_works":["https://openalex.org/W4283272532","https://openalex.org/W2952018105","https://openalex.org/W2119341610","https://openalex.org/W2916681395","https://openalex.org/W2556473569","https://openalex.org/W4302433642","https://openalex.org/W2529583158","https://openalex.org/W2108438604","https://openalex.org/W4360831753","https://openalex.org/W2808857225"],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,24,37,70,99,124,131,140,148],"understanding":[3],"of":[4,16,26,40,45,73,98,151],"human":[5],"perception":[6],"and":[7,52,81,133],"mimic":[8],"it":[9],"into":[10],"an":[11],"artificial":[12],"system,":[13],"several":[14],"types":[15],"graphical":[17],"models":[18,44,75],"have":[19],"been":[20],"proposed":[21],"that":[22,83,116,123],"emulate":[23],"functionality":[25],"neurons":[27],"in":[28,65],"biological":[29,149],"neural":[30],"networks.":[31],"In":[32],"this":[33],"work,":[34],"we":[35],"investigate":[36],"discriminatory":[38],"power":[39],"two":[41],"such":[42],"probabilistic":[43],"vision:":[46],"a":[47,53,108,114],"multivariate":[48],"Gaussian":[49,132],"model":[50],"[1]":[51],"restricted":[54,134],"Boltzmann":[55,135],"machine":[56,136],"[2],":[57],"both":[58,130],"widely":[59],"used":[60],"to":[61,92],"solve":[62],"classification":[63,141],"problems":[64],"computer":[66],"vision.":[67],"We":[68,121],"quantify":[69],"generative":[71,119],"ability":[72],"these":[74,118],"on":[76,86,143],"standard":[77],"benchmark":[78,144],"data":[79],"sets":[80],"show":[82,122],"neither":[84],"approach":[85],"their":[87],"own":[88],"is":[89,106],"powerful":[90],"enough":[91],"carry":[93],"out":[94],"vision":[95],"tasks":[96,145],"because":[97],"very":[100],"low":[101],"discrimination":[102,112],"they":[103],"achieve.":[104],"There":[105],"clearly":[107],"need":[109],"for":[110],"inducing":[111],"by":[113],"mechanism":[115],"exploits":[117],"models.":[120],"Fisher":[125],"kernels":[126],"[3]":[127],"derived":[128],"from":[129],"can":[137],"significantly":[138],"improve":[139],"performance":[142],"while":[146],"maintaining":[147],"plausibility":[150],"its":[152],"implementation":[153],"[4].":[154]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}