{"id":"https://openalex.org/W4375868973","doi":"https://doi.org/10.1109/icassp49357.2023.10096588","title":"Multi-View Graph Regularized Deep Autoencoder-Like NMF Framework","display_name":"Multi-View Graph Regularized Deep Autoencoder-Like NMF Framework","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375868973","doi":"https://doi.org/10.1109/icassp49357.2023.10096588"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5064078067","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-6301-1311"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology","School of Software Technology, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110920014","display_name":"Zihao Wang","orcid":"https://orcid.org/0000-0002-6994-2309"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology","School of Software Technology, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048590247","display_name":"Ziyue Wang","orcid":"https://orcid.org/0009-0006-8941-6169"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology","School of Software Technology, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053156190","display_name":"Zhikui Chen","orcid":"https://orcid.org/0000-0002-9209-2189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikui Chen","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology","School of Software Technology, Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064078067"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57985499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9866999983787537,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9832000136375427,"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/autoencoder","display_name":"Autoencoder","score":0.8840502500534058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949843764305115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6453754901885986},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6025435924530029},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5996302962303162},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.512547492980957},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.49669986963272095},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4780079424381256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46955400705337524},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4239831566810608},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4189332127571106},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2926488220691681},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1110067367553711}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8840502500534058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949843764305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6453754901885986},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6025435924530029},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5996302962303162},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.512547492980957},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.49669986963272095},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4780079424381256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46955400705337524},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4239831566810608},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4189332127571106},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2926488220691681},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1110067367553711},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1907775068","https://openalex.org/W2019885956","https://openalex.org/W2048679005","https://openalex.org/W2108119513","https://openalex.org/W2113333558","https://openalex.org/W2155151262","https://openalex.org/W2155904486","https://openalex.org/W2169658215","https://openalex.org/W2176433868","https://openalex.org/W2405459681","https://openalex.org/W2493084460","https://openalex.org/W2509197032","https://openalex.org/W2595272553","https://openalex.org/W2605146283","https://openalex.org/W2765274407","https://openalex.org/W2787885212","https://openalex.org/W2897979119","https://openalex.org/W2906529026","https://openalex.org/W2988613494","https://openalex.org/W3084047821","https://openalex.org/W3128380325","https://openalex.org/W6685357932"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"data":[2,108],"are":[3,63,128,143,163],"composed":[4],"of":[5,97,106,135,149,174],"different":[6],"representations":[7],"or":[8],"views,":[9],"thus":[10],"multi-view":[11,34,58,71,83,107,169],"clustering":[12],"(MVC)":[13],"has":[14],"attracted":[15],"more":[16,18],"and":[17,60,159],"attention":[19],"in":[20,79,109,114,122],"recent":[21],"years.":[22],"Its":[23],"key":[24],"task":[25],"is":[26,52,157],"how":[27],"to":[28,101,116,130,145],"extract":[29],"sufficient":[30],"fusion":[31],"features":[32],"from":[33,94],"data.":[35],"Because":[36],"the":[37,45,48,87,95,103,118,132,140,147,160,172,175],"nonnegative":[38],"matrix":[39],"factorization":[40],"(NMF)":[41],"can":[42],"favorably":[43],"explain":[44],"extracted":[46],"features,":[47],"NMF":[49,76],"based":[50],"MVC":[51],"usually":[53],"a":[54,70,110,153],"good":[55],"choice":[56],"for":[57,82],"data,":[59,125],"promising":[61],"results":[62,166],"achieved.":[64],"Inspired":[65],"by":[66],"this,":[67],"we":[68],"propose":[69],"graph":[72,126],"regularized":[73],"deep":[74,88,136],"autoencoder-like":[75,89],"(MGANMF)":[77],"framework":[78],"this":[80],"paper":[81],"clustering.":[84],"MGANMF":[85],"uses":[86],"NMF,":[90],"which":[91],"draws":[92],"lessons":[93],"idea":[96],"depth":[98],"automatic":[99],"encoder,":[100],"learn":[102],"hierarchical":[104],"semantics":[105],"layer-wise":[111],"manner.":[112],"Moreover,":[113],"order":[115],"describe":[117],"inherent":[119],"geometric":[120],"structure":[121],"each":[123,150],"view":[124],"regulators":[127],"introduced":[129],"couple":[131],"output":[133],"representation":[134],"structure.":[137],"In":[138],"addition,":[139],"self-updating":[141],"weights":[142],"employed":[144],"balance":[146],"effect":[148],"view.":[151],"Thus,":[152],"new":[154],"objective":[155],"function":[156],"defined":[158],"optimization":[161],"processes":[162],"presented.":[164],"Experimental":[165],"on":[167],"several":[168],"datasets":[170],"show":[171],"effectiveness":[173],"proposed":[176],"model.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}