{"id":"https://openalex.org/W1606576272","doi":"https://doi.org/10.1007/11590316_21","title":"Feature Extraction for Nonlinear Classification","display_name":"Feature Extraction for Nonlinear Classification","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1606576272","doi":"https://doi.org/10.1007/11590316_21","mag":"1606576272"},"language":"en","primary_location":{"id":"doi:10.1007/11590316_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11590316_21","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":"book-chapter","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/A5065123867","display_name":"Anil K. Ghosh","orcid":"https://orcid.org/0000-0002-2476-8458"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anil Kumar Ghosh","raw_affiliation_strings":["Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, 203, B. T. Road, Calcutta, 700108, India"],"affiliations":[{"raw_affiliation_string":"Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, 203, B. T. Road, Calcutta, 700108, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101732326","display_name":"Smarajit Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Smarajit Bose","raw_affiliation_strings":["Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, 203, B. T. Road, Calcutta, 700108, India"],"affiliations":[{"raw_affiliation_string":"Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, 203, B. T. Road, Calcutta, 700108, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065123867"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17384106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713683843612671},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6489149332046509},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6124552488327026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5842992067337036},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5822054743766785},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.5135557651519775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4648500978946686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43778735399246216},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42747819423675537},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4151255488395691},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35512205958366394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35367274284362793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713683843612671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6489149332046509},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6124552488327026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842992067337036},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5822054743766785},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.5135557651519775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4648500978946686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43778735399246216},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42747819423675537},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4151255488395691},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35512205958366394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35367274284362793},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11590316_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11590316_21","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.7400000095367432,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1554944419","https://openalex.org/W1563443354","https://openalex.org/W1594031697","https://openalex.org/W1996508539","https://openalex.org/W2009532474","https://openalex.org/W2051757066","https://openalex.org/W2063698478","https://openalex.org/W2089434338","https://openalex.org/W2091886411","https://openalex.org/W2117812871","https://openalex.org/W2129905273","https://openalex.org/W2155467226","https://openalex.org/W2346591037","https://openalex.org/W2799061466","https://openalex.org/W3085162807","https://openalex.org/W4205687621","https://openalex.org/W4230727635","https://openalex.org/W4233014035","https://openalex.org/W4240861491","https://openalex.org/W4245279681"],"related_works":["https://openalex.org/W4253679632","https://openalex.org/W2312487961","https://openalex.org/W2371601355","https://openalex.org/W2367397236","https://openalex.org/W2373463565","https://openalex.org/W2354037709","https://openalex.org/W2788448464","https://openalex.org/W1772501953","https://openalex.org/W2329220454","https://openalex.org/W2352640762"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}