{"id":"https://openalex.org/W2345235591","doi":"https://doi.org/10.1007/s11063-016-9524-z","title":"Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition","display_name":"Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition","publication_year":2016,"publication_date":"2016-04-29","ids":{"openalex":"https://openalex.org/W2345235591","doi":"https://doi.org/10.1007/s11063-016-9524-z","mag":"2345235591"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-016-9524-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-016-9524-z","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-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/A5039361400","display_name":"Hong-Kun Ji","orcid":null},"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":"Hong-Kun Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"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":false,"raw_author_name":"Quan-Sen Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055757510","display_name":"Yunhao Yuan","orcid":"https://orcid.org/0000-0003-3712-443X"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun-Hao Yuan","raw_affiliation_strings":["Department of Computer Science and Technology, Yangzhou University, Yangzhou, 225000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Yangzhou University, Yangzhou, 225000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044758681","display_name":"Zexuan Ji","orcid":"https://orcid.org/0000-0003-1665-0270"},"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":false,"raw_author_name":"Ze-Xuan Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, 210094, People\u2019s Republic of China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039361400"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.3387,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64913994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"45","issue":"1","first_page":"279","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.97079998254776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7910228967666626},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7803139686584473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7166264057159424},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6698631644248962},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6385328769683838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5928836464881897},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5867304801940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636866688728333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36585354804992676},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17459982633590698}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7910228967666626},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7803139686584473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7166264057159424},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6698631644248962},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6385328769683838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5928836464881897},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5867304801940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636866688728333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36585354804992676},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17459982633590698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-016-9524-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-016-9524-z","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G808751648","display_name":null,"funder_award_id":"Grants KYLX15_0379","funder_id":"https://openalex.org/F4320315198","funder_display_name":"Society for Reproductive and Infant Psychology"}],"funders":[{"id":"https://openalex.org/F4320315198","display_name":"Society for Reproductive and Infant Psychology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1595132914","https://openalex.org/W1979049594","https://openalex.org/W1996021349","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2011390239","https://openalex.org/W2025341678","https://openalex.org/W2042058698","https://openalex.org/W2042608483","https://openalex.org/W2045907009","https://openalex.org/W2049365101","https://openalex.org/W2053186076","https://openalex.org/W2060794592","https://openalex.org/W2077776048","https://openalex.org/W2081863860","https://openalex.org/W2097222539","https://openalex.org/W2097308346","https://openalex.org/W2098682165","https://openalex.org/W2100235303","https://openalex.org/W2100561338","https://openalex.org/W2114078075","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2127409454","https://openalex.org/W2132549764","https://openalex.org/W2132999255","https://openalex.org/W2133221360","https://openalex.org/W2138451337","https://openalex.org/W2165673880","https://openalex.org/W2610184409","https://openalex.org/W2994340921","https://openalex.org/W3148981562","https://openalex.org/W4237723258","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2093195256","https://openalex.org/W2154562908","https://openalex.org/W2142324288","https://openalex.org/W2120164251","https://openalex.org/W2994280181","https://openalex.org/W2315242963"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}