{"id":"https://openalex.org/W1570167950","doi":null,"title":"Nonlinear Blind Source Separation by Self-Organizing Maps","display_name":"Nonlinear Blind Source Separation by Self-Organizing Maps","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W1570167950","mag":"1570167950"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.49.1069","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.1069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.hut.fi/~aapo/ps/iconip96_som.ps","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/A5038053770","display_name":"Petteri Pajunen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Pajunen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061498233","display_name":"Aapo Hyv\u00e4rinen","orcid":"https://orcid.org/0000-0002-5806-4432","observed_orcids":["https://orcid.org/0000-0002-5806-4432"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aapo Hyv\u00e4rinen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5806-4432","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085358291","display_name":"Juha Karhunen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juha Karhunen","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":10.0601,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98264893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1207","last_page":"1210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T10320","display_name":"Neural Networks and Applications","score":0.0027000000700354576,"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/T10860","display_name":"Speech and Audio Processing","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-source-separation","display_name":"blind source separation","score":0.8730000257492065},{"id":"https://openalex.org/keywords/nonlinear-mixtures","display_name":"nonlinear mixtures","score":0.7990000247955322},{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.9919999837875366},{"id":"https://openalex.org/keywords/sub-gaussian-sources","display_name":"sub-Gaussian sources","score":0.8510000109672546},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.7440000176429749},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.49900001287460327}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6760228276252747},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.536436915397644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.472141295671463},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.46075019240379333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3974141776561737},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17679715156555176},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17391124367713928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1425020396709442},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.49.1069","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.1069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.hut.fi/~aapo/ps/iconip96_som.ps","raw_type":"text"},{"id":"mag:1570167950","doi":null,"is_oa":false,"landing_page_url":"https://research.aalto.fi/en/publications/nonlinear-blind-source-separation-by-selforganizing-maps(deaf8a94-976c-42c5-bd4f-1ac91b5ab1bd).html","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":9,"referenced_works":["https://openalex.org/W123758088","https://openalex.org/W1562895369","https://openalex.org/W1679913846","https://openalex.org/W2063504114","https://openalex.org/W2069291384","https://openalex.org/W2085258673","https://openalex.org/W2099741732","https://openalex.org/W2108384452","https://openalex.org/W2163718582"],"related_works":["https://openalex.org/W140561259","https://openalex.org/W1933689991","https://openalex.org/W1595467274","https://openalex.org/W7035862797","https://openalex.org/W2160572453","https://openalex.org/W190189670","https://openalex.org/W2619372479","https://openalex.org/W2131408671","https://openalex.org/W3195581470","https://openalex.org/W136673121"],"abstract_inverted_index":{"In":[0],"neural":[1],"blind":[2],"source":[3,11,26],"separation":[4,12,94],"most":[5],"approaches":[6],"have":[7],"considered":[8],"the":[9,15,36,57,64,67,93],"linear":[10,21,32],"problem":[13],"where":[14],"input":[16],"data":[17],"consist":[18],"of":[19,23,49,66,95,98],"unknown":[20,24],"mixtures":[22,48,97],"independent":[25],"signals.":[27],"The":[28],"solution":[29],"is":[30],"a":[31,75],"transformation":[33],"which":[34],"makes":[35],"output":[37,68],"vector":[38],"components":[39,65],"statistically":[40],"independent.":[41,70],"More":[42],"generally":[43],"we":[44,52],"can":[45,53,77],"consider":[46],"nonlinear":[47,96],"sources.":[50,100],"Then":[51],"try":[54],"to":[55,92],"separate":[56],"sources":[58],"by":[59],"constructing":[60],"mappings":[61,91],"that":[62,73],"make":[63],"vectors":[69],"We":[71,88],"show":[72],"such":[74],"mapping":[76],"be":[78],"approximately":[79],"realized":[80],"using":[81],"self-organizing":[82],"maps":[83],"with":[84],"rectangular":[85],"map":[86],"topology.":[87],"apply":[89],"these":[90],"sub-Gaussian":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
