{"id":"https://openalex.org/W1517778240","doi":"https://doi.org/10.1109/ijcnn.2005.1555831","title":"Maximally discriminative spectral feature projections using mutual information","display_name":"Maximally discriminative spectral feature projections using mutual information","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1517778240","doi":"https://doi.org/10.1109/ijcnn.2005.1555831","mag":"1517778240"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555831","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5080908821","display_name":"Umut \u00d6zertem","orcid":null},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"U. Ozertem","raw_affiliation_strings":["CSEE Department, OGI Oregon Health & Science University, Portland, OR, USA","Dept. of CSEE, Oregon Health & Sci. Univ., Portland, OR, USA"],"affiliations":[{"raw_affiliation_string":"CSEE Department, OGI Oregon Health & Science University, Portland, OR, USA","institution_ids":["https://openalex.org/I165690674"]},{"raw_affiliation_string":"Dept. of CSEE, Oregon Health & Sci. Univ., Portland, OR, USA","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048224610","display_name":"D. Erdogmus","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Erdogmus","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080908821"],"corresponding_institution_ids":["https://openalex.org/I165690674"],"apc_list":null,"apc_paid":null,"fwci":0.5265,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56002438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"208","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/discriminative-model","display_name":"Discriminative model","score":0.7991087436676025},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7588051557540894},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7403558492660522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7346242666244507},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6773214340209961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6627930402755737},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6181206107139587},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5899214744567871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5599095821380615},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5102329254150391},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.499741792678833},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48826146125793457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4792761504650116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4521206021308899},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.43701571226119995},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4262063801288605},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.35829079151153564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2810971438884735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08733958005905151}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7991087436676025},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7588051557540894},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7403558492660522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7346242666244507},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6773214340209961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6627930402755737},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6181206107139587},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5899214744567871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5599095821380615},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5102329254150391},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.499741792678833},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48826146125793457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4792761504650116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4521206021308899},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.43701571226119995},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4262063801288605},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.35829079151153564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2810971438884735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08733958005905151},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555831","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W206162032","https://openalex.org/W1534293170","https://openalex.org/W1564660545","https://openalex.org/W1624804034","https://openalex.org/W1981745143","https://openalex.org/W2014158063","https://openalex.org/W2041657594","https://openalex.org/W2097521973","https://openalex.org/W2099111195","https://openalex.org/W2104128541","https://openalex.org/W2110841704","https://openalex.org/W2116801843","https://openalex.org/W2116810533","https://openalex.org/W2129000925","https://openalex.org/W2135346934","https://openalex.org/W2140095548","https://openalex.org/W2799518931","https://openalex.org/W4230367971","https://openalex.org/W4233014035","https://openalex.org/W4251171122","https://openalex.org/W4285719527","https://openalex.org/W6781870204"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W109499086"],"abstract_inverted_index":{"Determining":[0],"the":[1,7,11,55],"optimal":[2],"subspace":[3,32],"projections,":[4],"which":[5],"maintains":[6],"best":[8],"representation":[9],"of":[10],"original":[12],"data,":[13],"is":[14],"an":[15],"important":[16],"problem":[17],"in":[18,47],"machine":[19],"learning":[20],"and":[21,44],"pattern":[22],"recognition.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29],"nonparametric":[30],"nonlinear":[31],"projection":[33],"technique":[34],"that":[35],"employs":[36],"kernel":[37,45],"density":[38],"estimation":[39],"based":[40],"information":[41,58],"theoretic":[42],"methods":[43],"machines,":[46],"order":[48],"to":[49],"maintain":[50],"class":[51],"separability":[52],"maximally":[53],"under":[54],"Shannon":[56],"mutual":[57],"criterion.":[59]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
