{"id":"https://openalex.org/W20679757","doi":null,"title":"EXTENSIONS OF ICA AS MODELS OF NATURAL IMAGES AND VISUAL PROCESSING","display_name":"EXTENSIONS OF ICA AS MODELS OF NATURAL IMAGES AND VISUAL PROCESSING","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W20679757","mag":"20679757"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.641.5329","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.641.5329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0205.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5062387708","display_name":"Patrik O. Hoyer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrik O. Hoyer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032124303","display_name":"Jarmo Hurri","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jarmo Hurri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3076,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92519746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9814000129699707,"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":0.9814000129699707,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.0010999999940395355,"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/independent-component-analysis","display_name":"independent component analysis","score":0.9890000224113464},{"id":"https://openalex.org/keywords/natural-image-statistics","display_name":"natural image statistics","score":0.8289999961853027},{"id":"https://openalex.org/keywords/sparse-coding","display_name":"sparse coding","score":0.8560000061988831},{"id":"https://openalex.org/keywords/visual-processing-models","display_name":"visual processing models","score":0.5849999785423279},{"id":"https://openalex.org/keywords/primary-visual-cortex","display_name":"primary visual cortex","score":0.6589999794960022},{"id":"https://openalex.org/keywords/simple-cells","display_name":"simple cells","score":0.871999979019165},{"id":"https://openalex.org/keywords/topographic-organization","display_name":"topographic organization","score":0.7260000109672546},{"id":"https://openalex.org/keywords/multivariate-autoregressive-model","display_name":"multivariate autoregressive model","score":0.8460000157356262},{"id":"https://openalex.org/keywords/blind-source-separation","display_name":"blind source separation","score":0.7009999752044678},{"id":"https://openalex.org/keywords/gabor-functions","display_name":"Gabor functions","score":0.6579999923706055},{"id":"https://openalex.org/keywords/wavelets","display_name":"wavelets","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7049875259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777750253677368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6392103433609009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623823881149292},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6051568388938904},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5349456071853638},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5267353057861328},{"id":"https://openalex.org/C2778251979","wikidata":"https://www.wikidata.org/wiki/Q7936617","display_name":"Visual processing","level":3,"score":0.5081868171691895},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4843900799751282},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4707995653152466},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.442179411649704},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4220702648162842},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41967999935150146},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.413942813873291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.349634051322937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2730264663696289},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26157695055007935},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.11399242281913757},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"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/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.641.5329","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.641.5329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0205.pdf","raw_type":"text"},{"id":"mag:20679757","doi":null,"is_oa":false,"landing_page_url":"http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0205.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1491127862","https://openalex.org/W1548802052","https://openalex.org/W1655654231","https://openalex.org/W1679913846","https://openalex.org/W1997652134","https://openalex.org/W2005409718","https://openalex.org/W2079210701","https://openalex.org/W2096388912","https://openalex.org/W2101933716","https://openalex.org/W2104244367","https://openalex.org/W2108125949","https://openalex.org/W2116365953","https://openalex.org/W2124195644","https://openalex.org/W2124486835","https://openalex.org/W2131689618","https://openalex.org/W2135503775","https://openalex.org/W2137234026","https://openalex.org/W2145889472","https://openalex.org/W2146444479","https://openalex.org/W2146672645","https://openalex.org/W2151035455","https://openalex.org/W2157349214","https://openalex.org/W2180838288","https://openalex.org/W2189165327"],"related_works":["https://openalex.org/W3020660784","https://openalex.org/W2085606618","https://openalex.org/W2151677089","https://openalex.org/W2115406326","https://openalex.org/W2045562652","https://openalex.org/W98251789","https://openalex.org/W2110519503","https://openalex.org/W2171966657","https://openalex.org/W2154594384","https://openalex.org/W823067051"],"abstract_inverted_index":{"Using":[0],"statistical":[1,84],"models":[2,20,158,188,197],"one":[3],"can":[4,21,198],"estimate":[5],"features":[6,33,90],"from":[7],"natural":[8,47,87,184],"images,":[9],"such":[10],"as":[11],"images":[12,48],"that":[13,79,119,205],"we":[14,206,211],"see":[15],"in":[16,25,40,54,108,201],"everyday":[17],"life.":[18],"Such":[19],"also":[22,178],"be":[23,59,199],"used":[24,140],"computional":[26],"vi-sual":[27],"neuroscience":[28],"by":[29,131,190],"relating":[30],"the":[31,35,41,68,71,75,83,103,109,126,137,151,168,180,219,225],"estimated":[32,130],"to":[34,58,61,82,141,160,224],"response":[36],"properties":[37,164],"of":[38,70,86,102,105,117,125,136,162,165,183,218,227],"neurons":[39],"brain.":[42],"A":[43],"sem-inal":[44],"model":[45,217],"for":[46],"was":[49],"linear":[50,65],"sparse":[51],"coding":[52],"which,":[53],"fact,":[55],"turned":[56],"out":[57],"equivalent":[60],"ICA.":[62,133],"In":[63],"these":[64,157,196],"generative":[66],"models,":[67],"columns":[69],"mixing":[72],"matrix":[73],"give":[74],"basis":[76],"vectors":[77],"(features)":[78],"are":[80,120,139],"adapted":[81],"structure":[85,182],"images.":[88],"Estimated":[89],"resemble":[91],"wavelets":[92],"or":[93,146],"Gabor":[94],"func-tions,":[95],"and":[96,171],"provide":[97],"a":[98,144,147,202,214],"very":[99],"good":[100],"description":[101],"prop-erties":[104],"simple":[106],"cells":[107],"primary":[110],"visual":[111,166],"cortex.":[112],"We":[113,176],"have":[114,177,212],"introduced":[115],"extensions":[116],"ICA":[118],"based":[121],"on":[122],"modelling":[123],"dependencies":[124,135],"\"independent":[127],"\"":[128,229],"compo-nents":[129],"basic":[132],"The":[134],"components":[138],"dene":[142],"either":[143],"grouping":[145],"topographic":[148,169],"order":[149],"between":[150],"components.":[152],"With":[153],"nat-ural":[154],"image":[155,185],"data,":[156],"lead":[159,222],"emergence":[161],"further":[163],"neurons:":[167],"organization":[170],"complex":[172],"cell":[173],"receptive":[174],"elds.":[175],"modelled":[179],"temporal":[181],"sequences":[186],"using":[187],"inspired":[189],"blind":[191],"source":[192,230],"sep-aration":[193],"methods.":[194],"All":[195],"combined":[200],"unifying":[203],"framework":[204],"call":[207],"bubble":[208],"coding.":[209],"Finally,":[210],"developed":[213],"multivariate":[215],"autoregres-sive":[216],"dependencies,":[220],"which":[221],"us":[223],"concept":[226],"\\\\double-blind":[228],"separation.":[231],"1.":[232]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}
