{"id":"https://openalex.org/W2899258531","doi":"https://doi.org/10.1007/978-3-030-03338-5_29","title":"A Deep Structure-Enforced Nonnegative Matrix Factorization for Data Representation","display_name":"A Deep Structure-Enforced Nonnegative Matrix Factorization for Data Representation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2899258531","doi":"https://doi.org/10.1007/978-3-030-03338-5_29","mag":"2899258531"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-03338-5_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-03338-5_29","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/A5052193516","display_name":"Yijia Zhou","orcid":"https://orcid.org/0000-0003-4229-5014"},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Zhou","raw_affiliation_strings":["Dalian Neusoft University of Information, Dalian, 116023, Liaoning, People\u2019s Republic of China","Dalian Neusoft University of Information, Dalian, 116023, Liaoning, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Dalian Neusoft University of Information, Dalian, 116023, Liaoning, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210131997"]},{"raw_affiliation_string":"Dalian Neusoft University of Information, Dalian, 116023, Liaoning, People's Republic of China","institution_ids":["https://openalex.org/I4210131997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054209410","display_name":"Lijun Xu","orcid":"https://orcid.org/0000-0002-5823-1122"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Xu","raw_affiliation_strings":["Dalian Maritime University, Dalian, 116026, Liaoning, People\u2019s Republic of China","Dalian Maritime University, Dalian, 116026, Liaoning, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, 116026, Liaoning, People\u2019s Republic of China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Dalian Maritime University, Dalian, 116026, Liaoning, People's Republic of China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054209410"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74071437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944000244140625,"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":0.9944000244140625,"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":0.9927999973297119,"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":0.9922000169754028,"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/karush\u2013kuhn\u2013tucker-conditions","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","score":0.824769914150238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.772573709487915},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7194361686706543},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6265310645103455},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6083307266235352},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5779423117637634},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5527978539466858},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5187949538230896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4830673038959503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4721900224685669},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4671603739261627},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43411898612976074},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4331083595752716},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42113515734672546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23960554599761963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1400928795337677}],"concepts":[{"id":"https://openalex.org/C50454189","wikidata":"https://www.wikidata.org/wiki/Q2075125","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","level":2,"score":0.824769914150238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772573709487915},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7194361686706543},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6265310645103455},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6083307266235352},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5779423117637634},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5527978539466858},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5187949538230896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4830673038959503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4721900224685669},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4671603739261627},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43411898612976074},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4331083595752716},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42113515734672546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23960554599761963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1400928795337677},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-03338-5_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-03338-5_29","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"}],"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/W1555814299","https://openalex.org/W1565719317","https://openalex.org/W1592941960","https://openalex.org/W1902027874","https://openalex.org/W2016412486","https://openalex.org/W2045079045","https://openalex.org/W2059745395","https://openalex.org/W2079196839","https://openalex.org/W2091334405","https://openalex.org/W2094087561","https://openalex.org/W2098445696","https://openalex.org/W2108433027","https://openalex.org/W2116216716","https://openalex.org/W2118718620","https://openalex.org/W2123873803","https://openalex.org/W2132692097","https://openalex.org/W2136635436","https://openalex.org/W2136787567","https://openalex.org/W2138729701","https://openalex.org/W2142621404","https://openalex.org/W2146739705","https://openalex.org/W2146913572","https://openalex.org/W2168103112","https://openalex.org/W2244987555","https://openalex.org/W2547840382","https://openalex.org/W2605146283","https://openalex.org/W2607669834","https://openalex.org/W2740159961","https://openalex.org/W2740920897","https://openalex.org/W2755193170","https://openalex.org/W2765145408","https://openalex.org/W2766640142","https://openalex.org/W2766992066","https://openalex.org/W2790199048","https://openalex.org/W2964144157","https://openalex.org/W6601409588"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W4390394189","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-05T06:14:27.290980","created_date":"2025-10-10T00:00:00"}
