{"id":"https://openalex.org/W1561277747","doi":"https://doi.org/10.1007/978-3-540-45179-2_72","title":"Feasible Adaptation Criteria for Hybrid Wavelet \u2013 Large Margin Classifiers","display_name":"Feasible Adaptation Criteria for Hybrid Wavelet \u2013 Large Margin Classifiers","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1561277747","doi":"https://doi.org/10.1007/978-3-540-45179-2_72","mag":"1561277747"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-45179-2_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45179-2_72","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/A5069533715","display_name":"Julia Neumann","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julia Neumann","raw_affiliation_strings":["Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088815590","display_name":"Christoph Schn\u00f6rr","orcid":"https://orcid.org/0000-0002-8999-2338"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Schn\u00f6rr","raw_affiliation_strings":["Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008755474","display_name":"Gabriele Steidl","orcid":"https://orcid.org/0000-0003-4638-9245"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gabriele Steidl","raw_affiliation_strings":["Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069533715"],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6804,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64748201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"588","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6908783316612244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6496018171310425},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6480531692504883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951417088508606},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5899900197982788},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5655077695846558},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.527520477771759},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5233756303787231},{"id":"https://openalex.org/keywords/orthonormal-basis","display_name":"Orthonormal basis","score":0.515628457069397},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4906386435031891},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48102813959121704},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4647708535194397},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44567349553108215},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4138537347316742},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.36282283067703247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32226765155792236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14099502563476562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10028243064880371}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908783316612244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6496018171310425},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6480531692504883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951417088508606},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5899900197982788},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5655077695846558},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.527520477771759},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5233756303787231},{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.515628457069397},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4906386435031891},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48102813959121704},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4647708535194397},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44567349553108215},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4138537347316742},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36282283067703247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32226765155792236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14099502563476562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10028243064880371},{"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":4,"locations":[{"id":"doi:10.1007/978-3-540-45179-2_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45179-2_72","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:ub-madoc.bib.uni-mannheim.de:749","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.112.559","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kiwi.math.uni-mannheim.de/~julia/papers/criteria.pdf","raw_type":"text"},{"id":"pmh:oai:MAUB:749","is_oa":false,"landing_page_url":"http://madoc.bib.uni-mannheim.de/madoc/volltexte/2004/749/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401433","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technical Report / Department for Mathematics and Computer Science, University of Mannheim ; TR-2002-015","raw_type":"ResearchPaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W605197744","https://openalex.org/W854322902","https://openalex.org/W1481646516","https://openalex.org/W1561277747","https://openalex.org/W1561728471","https://openalex.org/W1563088657","https://openalex.org/W1658679052","https://openalex.org/W2001619934","https://openalex.org/W2055522016","https://openalex.org/W2062024414","https://openalex.org/W2071244874","https://openalex.org/W2077658674","https://openalex.org/W2082988498","https://openalex.org/W2097755267","https://openalex.org/W2097839764","https://openalex.org/W2098347925","https://openalex.org/W2098914003","https://openalex.org/W2100860054","https://openalex.org/W2101728970","https://openalex.org/W2105497548","https://openalex.org/W2108376629","https://openalex.org/W2110630246","https://openalex.org/W2115755118","https://openalex.org/W2119821739","https://openalex.org/W2127006916","https://openalex.org/W2132870739","https://openalex.org/W2140095548","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2147752924","https://openalex.org/W2148603752","https://openalex.org/W2150434953","https://openalex.org/W2156512439","https://openalex.org/W2156909104","https://openalex.org/W2158001550","https://openalex.org/W2163363072"],"related_works":["https://openalex.org/W2370850565","https://openalex.org/W2013914308","https://openalex.org/W2381894435","https://openalex.org/W2296214397","https://openalex.org/W2951195293","https://openalex.org/W2029951831","https://openalex.org/W3141309046","https://openalex.org/W2006729111","https://openalex.org/W2032552241","https://openalex.org/W1640372871"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
