{"id":"https://openalex.org/W4231856241","doi":"https://doi.org/10.1109/icpr.2004.1334043","title":"Learning high-level independent components of images through a spectral representation","display_name":"Learning high-level independent components of images through a spectral representation","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4231856241","doi":"https://doi.org/10.1109/icpr.2004.1334043"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334043","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5030429190","display_name":"J.T. Lindgren","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"J.T. Lindgren","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053201372","display_name":"A. Hyvarinen","orcid":null},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]},{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"A. Hyvarinen","raw_affiliation_strings":["HIIT Basic Research Unit, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"HIIT Basic Research Unit, University of Helsinki, Finland","institution_ids":["https://openalex.org/I32943570","https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030429190"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":0.8575,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7385103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"75 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9883999824523926,"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":0.9836000204086304,"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":0.7498747110366821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846392750740051},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6536370515823364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6471266746520996},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6268965005874634},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.625720202922821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.561118483543396},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5343982577323914},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.48195263743400574},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4492711126804352},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41816246509552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3917260766029358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19200041890144348},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10735902190208435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498747110366821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846392750740051},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6536370515823364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6471266746520996},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6268965005874634},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.625720202922821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.561118483543396},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5343982577323914},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.48195263743400574},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4492711126804352},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41816246509552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3917260766029358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19200041890144348},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10735902190208435},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icpr.2004.1334043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334043","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2006500012","https://openalex.org/W2099679614","https://openalex.org/W2101933716","https://openalex.org/W2103212315","https://openalex.org/W2141224535","https://openalex.org/W2144791245","https://openalex.org/W2145889472","https://openalex.org/W4205778870","https://openalex.org/W4237434670"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2364896863","https://openalex.org/W2389189059","https://openalex.org/W4288804231"],"abstract_inverted_index":{"Statistical":[0],"methods,":[1],"such":[2,87],"as":[3,63,90],"independent":[4,37],"component":[5,38],"analysis,":[6],"have":[7],"been":[8],"successful":[9],"in":[10],"learning":[11,25],"local":[12],"low-level":[13],"features":[14,73],"from":[15,96],"natural":[16,46],"image":[17,47,84,94],"data.":[18],"Here":[19],"we":[20],"extend":[21],"these":[22],"methods":[23],"for":[24,86],"high-level":[26],"representations":[27],"of":[28,53,55,72,83],"whole":[29],"images":[30],"or":[31,70,93],"scenes.":[32],"We":[33],"show":[34],"empirically":[35],"that":[36,66],"analysis":[39],"is":[40],"able":[41],"to":[42],"capture":[43],"some":[44],"intuitive":[45],"categories":[48],"when":[49],"applied":[50],"on":[51,80],"histograms":[52],"outputs":[54],"ordinary":[56],"Gabor-like":[57],"filters.":[58],"This":[59],"can":[60],"be":[61,75],"taken":[62],"an":[64],"indication":[65],"maximizing":[67],"the":[68],"independence":[69],"sparseness":[71],"may":[74],"a":[76],"meaningful":[77],"strategy":[78],"even":[79],"higher":[81],"levels":[82],"processing,":[85],"advanced":[88],"functionality":[89],"object":[91],"recognition":[92],"retrieval":[95],"databases.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
