{"id":"https://openalex.org/W2379730211","doi":null,"title":"Maximum Scatter Difference Discriminant Analysis and Face Recognition","display_name":"Maximum Scatter Difference Discriminant Analysis and Face Recognition","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2379730211","mag":"2379730211"},"language":"en","primary_location":{"id":"mag:2379730211","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSGG200634064.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764896880","display_name":"Computer Engineering and Applications Journal","issn_l":"2252-4274","issn":["2252-4274","2252-5459"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315074","host_organization_name":"Sriwijaya University","host_organization_lineage":["https://openalex.org/P4310315074"],"host_organization_lineage_names":["Sriwijaya University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Engineering and Applications Journal","raw_type":null},"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/A5071718818","display_name":"Caikou Chen","orcid":"https://orcid.org/0000-0002-6941-4338","observed_orcids":["https://orcid.org/0000-0002-6941-4338"]},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caikou Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China"],"raw_orcid":"https://orcid.org/0000-0002-6941-4338","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071718818"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.6685,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74786095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.00019999999494757503,"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/T11094","display_name":"Face Recognition and Perception","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/face-recognition","display_name":"face recognition","score":0.8830000162124634},{"id":"https://openalex.org/keywords/small-sample-size-problem","display_name":"small sample size problem","score":0.9879999756813049},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"linear discriminant analysis","score":0.847000002861023},{"id":"https://openalex.org/keywords/between-class-scatter","display_name":"between-class scatter","score":0.9520000219345093},{"id":"https://openalex.org/keywords/within-class-scatter","display_name":"within-class scatter","score":0.9990000128746033},{"id":"https://openalex.org/keywords/discriminant-criterion","display_name":"discriminant criterion","score":0.7450000047683716}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.9418178796768188},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.8243696689605713},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.8125571012496948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7675598859786987},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7238754034042358},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.7012507915496826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6834316253662109},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6533915400505066},{"id":"https://openalex.org/C176917957","wikidata":"https://www.wikidata.org/wiki/Q7430596","display_name":"Scatter matrix","level":4,"score":0.5849589705467224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282527208328247},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.5270136594772339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4949273467063904},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.446575790643692},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30118438601493835},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.16283541917800903},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2379730211","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSGG200634064.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764896880","display_name":"Computer Engineering and Applications Journal","issn_l":"2252-4274","issn":["2252-4274","2252-5459"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315074","host_organization_name":"Sriwijaya University","host_organization_lineage":["https://openalex.org/P4310315074"],"host_organization_lineage_names":["Sriwijaya University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Engineering and Applications Journal","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2012326440","https://openalex.org/W1862960822","https://openalex.org/W2373682009","https://openalex.org/W4233061159","https://openalex.org/W1604222306","https://openalex.org/W2142066162","https://openalex.org/W2104382484","https://openalex.org/W2102838264","https://openalex.org/W2367463589","https://openalex.org/W2347438846"],"abstract_inverted_index":{"It":[0],"is":[1],"well-known":[2],"that":[3],"the":[4,22,38,50,63,79,82],"applicability":[5],"of":[6,52,65,81],"Fisher":[7],"linear":[8],"discriminant":[9,32,44,59],"analysis(LDA)to":[10],"high-dimensional":[11],"image":[12],"recognition":[13,18],"tasks":[14],"such":[15],"as":[16,58],"face":[17,72,76],"inevitably":[19],"suffers":[20],"from":[21,46],"so-called":[23],"small":[24],"sample":[25],"size(SSS)problem.In":[26],"this":[27],"paper,We":[28],"propose":[29],"a":[30],"novel":[31],"analysis":[33],"method":[34,48],"to":[35],"essentially":[36],"avoid":[37],"SSS":[39],"problem":[40],"using":[41],"scatter":[42,54,57],"difference":[43,51],"criterion.Different":[45],"LDA,the":[47],"adopts":[49],"between-class":[53],"and":[55,74],"within-class":[56],"criterion":[60],"rather":[61],"than":[62],"ratio":[64],"them.Extensive":[66],"experiments":[67],"performed":[68],"on":[69],"both":[70],"ORL":[71],"database":[73,77],"AR":[75],"verify":[78],"effectiveness":[80],"proposed":[83],"method.":[84]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
