{"id":"https://openalex.org/W2900282895","doi":"https://doi.org/10.1109/tcyb.2018.2876591","title":"Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition","display_name":"Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2900282895","doi":"https://doi.org/10.1109/tcyb.2018.2876591","mag":"2900282895","pmid":"https://pubmed.ncbi.nlm.nih.gov/30418895"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2876591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2876591","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5039792198","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0001-5498-4947"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5498-4947","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029691902","display_name":"Xiao\u2010Yuan Jing","orcid":"https://orcid.org/0000-0002-0392-8475"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yuan Jing","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Computer, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0392-8475","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008307487","display_name":"Xiwei Dong","orcid":"https://orcid.org/0000-0001-5013-673X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwei Dong","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5013-673X","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087726516","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-0290-5757"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0290-5757","affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727487","display_name":"Dong Yue","orcid":"https://orcid.org/0000-0001-7810-9338"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yue","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7810-9338","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056155495","display_name":"Lina Wang","orcid":"https://orcid.org/0000-0001-8085-1312"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Wang","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8085-1312","affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053206926","display_name":"Yimu Ji","orcid":"https://orcid.org/0000-0001-7019-3942"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Mu Ji","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109232005","display_name":"Ruchuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruchuan Wang","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668038","display_name":"Guoliang Chen","orcid":"https://orcid.org/0000-0001-6197-4608"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Chen","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0863,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94507355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"50","issue":"3","first_page":"1009","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9923999905586243,"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":0.9563000202178955,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9458088874816895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7787991762161255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.698040246963501},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6877827644348145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726058125495911},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6491580009460449},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5963472723960876},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.589530348777771},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.561675488948822},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5242695808410645},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4836893677711487},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.47530612349510193},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44913968443870544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.405800998210907}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9458088874816895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7787991762161255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.698040246963501},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6877827644348145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726058125495911},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6491580009460449},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5963472723960876},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.589530348777771},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.561675488948822},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5242695808410645},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4836893677711487},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.47530612349510193},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44913968443870544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.405800998210907},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2018.2876591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2876591","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:30418895","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30418895","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G112481924","display_name":null,"funder_award_id":"2017YFB0202204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1443243697","display_name":null,"funder_award_id":"2017YFB1401302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2538840660","display_name":null,"funder_award_id":"U1736211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4049244042","display_name":null,"funder_award_id":"BK20170100","funder_id":"https://openalex.org/F4320335445","funder_display_name":"Outstanding Youth Foundation of Jiangsu Province of China"},{"id":"https://openalex.org/G5647126490","display_name":null,"funder_award_id":"BK20170900","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5692072849","display_name":null,"funder_award_id":"61702280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7433758852","display_name":null,"funder_award_id":"BX20180146","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"},{"id":"https://openalex.org/G8929163647","display_name":null,"funder_award_id":"2017YFB1401301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335445","display_name":"Outstanding Youth Foundation of Jiangsu Province of China","ror":null},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W24380874","https://openalex.org/W28098897","https://openalex.org/W150154862","https://openalex.org/W189640523","https://openalex.org/W919364087","https://openalex.org/W1523385540","https://openalex.org/W1562134008","https://openalex.org/W1578352865","https://openalex.org/W1857884451","https://openalex.org/W1913277147","https://openalex.org/W1922904362","https://openalex.org/W1949478088","https://openalex.org/W1965772718","https://openalex.org/W1971359334","https://openalex.org/W1978606608","https://openalex.org/W1988030826","https://openalex.org/W1989702938","https://openalex.org/W1994380990","https://openalex.org/W2030270830","https://openalex.org/W2031007444","https://openalex.org/W2042928509","https://openalex.org/W2043167551","https://openalex.org/W2051434435","https://openalex.org/W2069682406","https://openalex.org/W2082190101","https://openalex.org/W2090942802","https://openalex.org/W2091780211","https://openalex.org/W2100235303","https://openalex.org/W2109945314","https://openalex.org/W2112796928","https://openalex.org/W2115064494","https://openalex.org/W2120125789","https://openalex.org/W2121647436","https://openalex.org/W2140097505","https://openalex.org/W2152788298","https://openalex.org/W2153694327","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2170946361","https://openalex.org/W2189774688","https://openalex.org/W2194775991","https://openalex.org/W2205664181","https://openalex.org/W2265701153","https://openalex.org/W2314785379","https://openalex.org/W2341680599","https://openalex.org/W2343166405","https://openalex.org/W2345456441","https://openalex.org/W2363654498","https://openalex.org/W2396271269","https://openalex.org/W2428757121","https://openalex.org/W2465570449","https://openalex.org/W2483194642","https://openalex.org/W2500751094","https://openalex.org/W2533102868","https://openalex.org/W2538244214","https://openalex.org/W2548791488","https://openalex.org/W2549684703","https://openalex.org/W2565085068","https://openalex.org/W2566008768","https://openalex.org/W2735680049","https://openalex.org/W2764242203","https://openalex.org/W2962731536","https://openalex.org/W4241739141","https://openalex.org/W4297822321","https://openalex.org/W6631216910","https://openalex.org/W6676500490","https://openalex.org/W6684191040","https://openalex.org/W6688082249","https://openalex.org/W6707731463"],"related_works":["https://openalex.org/W2792279927","https://openalex.org/W4403391793","https://openalex.org/W4385497869","https://openalex.org/W283587633","https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603"],"abstract_inverted_index":{"Multispectral":[0],"images":[1,75],"contain":[2],"rich":[3],"recognition":[4,36,47,77],"information":[5,12,65,71],"since":[6],"the":[7,18,23,53,62,67,85,163,167,172,177,185,195,204,208],"multispectral":[8,32,34,45,73,88,200],"camera":[9],"can":[10],"reveal":[11],"that":[13,171],"is":[14,148],"not":[15,79],"visible":[16],"to":[17,22,28,57,136,149],"human":[19],"eye":[20],"or":[21],"conventional":[24],"RGB":[25],"camera.":[26],"Due":[27],"this":[29],"characteristic":[30],"of":[31,40,87,116,129,153,166,197,207],"images,":[33],"face":[35,46,74,89,201],"has":[37,78],"attracted":[38],"lots":[39],"research":[41],"interest.":[42],"Although":[43],"some":[44],"methods":[48],"have":[49],"been":[50,80],"presented":[51],"in":[52,72],"last":[54],"decade,":[55],"how":[56],"fully":[58],"and":[59,66,96,176,194],"effectively":[60],"explore":[61],"intraspectrum":[63,94,173],"discriminant":[64,179],"useful":[68],"interspectrum":[69,97,178],"correlation":[70,98,180],"for":[76],"well":[81],"studied.":[82],"To":[83],"boost":[84],"performance":[86,206],"recognition,":[90],"we":[91],"propose":[92],"an":[93],"discrimination":[95],"analysis":[99],"deep":[100,131],"network":[101,125],"(IDICN)":[102],"approach.":[103],"Multiple":[104],"spectra":[105,117,154],"are":[106,181],"divided":[107],"into":[108],"several":[109,212],"spectrum-sets,":[110],"with":[111,155],"each":[112],"containing":[113],"a":[114,119,127,142,151],"group":[115,152],"within":[118],"small":[120],"spectral":[121],"range.":[122],"The":[123],"IDICN":[124,160],"contains":[126],"set":[128],"spectrum-set-specific":[130,138],"convolutional":[132],"neural":[133],"networks":[134],"attempting":[135],"extract":[137],"features,":[139],"followed":[140],"by":[141],"spectrum":[143],"pooling":[144],"layer,":[145],"whose":[146],"target":[147],"select":[150],"favorable":[156],"discriminative":[157],"abilities":[158],"adaptively.":[159],"jointly":[161],"learns":[162],"nonlinear":[164],"representations":[165],"selected":[168],"spectra,":[169],"such":[170],"Fisher":[174],"loss":[175],"minimized.":[182],"Experiments":[183],"on":[184],"well-known":[186],"Hong":[187],"Kong":[188],"Polytechnic":[189],"University,":[190,193],"Carnegie":[191],"Mellon":[192],"University":[196],"Western":[198],"Australia":[199],"datasets":[202],"demonstrate":[203],"superior":[205],"proposed":[209],"approach":[210],"over":[211],"state-of-the-art":[213],"methods.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
