{"id":"https://openalex.org/W1542490793","doi":"https://doi.org/10.1007/3-540-45404-7_35","title":"Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification","display_name":"Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1542490793","doi":"https://doi.org/10.1007/3-540-45404-7_35","mag":"1542490793"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45404-7_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45404-7_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5035214744","display_name":"Tanja K\u00e4mpfe","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tanja K\u00e4mpfe","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033485866","display_name":"Tim W. Nattkemper","orcid":"https://orcid.org/0000-0002-7986-1158"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim W. Nattkemper","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074989840","display_name":"Helge Ritter","orcid":"https://orcid.org/0000-0003-1703-1906"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Helge Ritter","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 100 131, D-33501, Bielefeld","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9966999888420105,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.797149658203125},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7531450986862183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7318879961967468},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.7210078835487366},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7164083123207092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6892237067222595},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6688120365142822},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5487592220306396},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5337855219841003},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5119177103042603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4985685348510742},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.4802451431751251},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4428732097148895},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.431692510843277},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4262385666370392},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25111523270606995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2393241822719574},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.11665582656860352}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.797149658203125},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7531450986862183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7318879961967468},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.7210078835487366},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7164083123207092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892237067222595},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6688120365142822},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5487592220306396},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5337855219841003},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5119177103042603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4985685348510742},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.4802451431751251},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4428732097148895},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.431692510843277},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4262385666370392},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25111523270606995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2393241822719574},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.11665582656860352},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-45404-7_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45404-7_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pub.librecat.org:1886493","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/1886493","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"K\u00e4mpfe T, Nattkemper TW, Ritter H. Combining Independent Component Analysis and Self-organizing Maps for Cell Image Classification. In: Radig B, Florczyk S, eds. &lt;em&gt;Pattern Recognition&lt;/em&gt;. LNCS. Vol 2191. Berlin: Springer;  2001: 262-268.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1679913846","https://openalex.org/W2035782554","https://openalex.org/W2040939169","https://openalex.org/W2079711495","https://openalex.org/W2099741732","https://openalex.org/W2101933716","https://openalex.org/W2108384452","https://openalex.org/W2133069808","https://openalex.org/W2169590180","https://openalex.org/W4237222446","https://openalex.org/W6679756777"],"related_works":["https://openalex.org/W2389189059","https://openalex.org/W2181972346","https://openalex.org/W2348193061","https://openalex.org/W1553187413","https://openalex.org/W2379518525","https://openalex.org/W1592573261","https://openalex.org/W2159887805","https://openalex.org/W1971274817","https://openalex.org/W2107364464","https://openalex.org/W4283585246"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
