{"id":"https://openalex.org/W2296531836","doi":"https://doi.org/10.1109/icip.2015.7351455","title":"Feature extraction via multi-view non-negative matrix factorization with local graph regularization","display_name":"Feature extraction via multi-view non-negative matrix factorization with local graph regularization","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296531836","doi":"https://doi.org/10.1109/icip.2015.7351455","mag":"2296531836"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5078125271","display_name":"Zhenfan Wang","orcid":"https://orcid.org/0000-0002-5008-3743"},"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":"Zhenfan Wang","raw_affiliation_strings":["School of Information and Communication Engineering Dalian University of Technology, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering Dalian University of Technology, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003239155","display_name":"Xiangwei Kong","orcid":"https://orcid.org/0000-0002-0851-6752"},"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":"Xiangwei Kong","raw_affiliation_strings":["Dalian University of Technology, Dalian, Liaoning, CN"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, Liaoning, CN","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071538073","display_name":"Haiyan Fu","orcid":"https://orcid.org/0000-0002-0865-0652"},"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":"Haiyan Fu","raw_affiliation_strings":["School of Information and Communication Engineering Dalian University of Technology, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering Dalian University of Technology, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351409","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-2725-353X"},"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":"Ming Li","raw_affiliation_strings":["School of Information and Communication Engineering Dalian University of Technology, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering Dalian University of Technology, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430743","display_name":"Yujia Zhang","orcid":"https://orcid.org/0000-0003-3991-7388"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujia Zhang","raw_affiliation_strings":["Fordham University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Fordham University, New York, USA","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078125271"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.6569,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.89660313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3500","last_page":"3504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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":0.9983000159263611,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6595666408538818},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6526669859886169},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6523878574371338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460169553756714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6018486022949219},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5583627223968506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5369302034378052},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5181616544723511},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5014693737030029},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4883138835430145},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.41833996772766113},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3384284973144531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2565821707248688},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24042367935180664}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6595666408538818},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6526669859886169},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6523878574371338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460169553756714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6018486022949219},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5583627223968506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5369302034378052},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5181616544723511},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5014693737030029},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4883138835430145},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.41833996772766113},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3384284973144531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2565821707248688},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24042367935180664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W203516808","https://openalex.org/W1550614472","https://openalex.org/W1902027874","https://openalex.org/W1964703145","https://openalex.org/W1988427463","https://openalex.org/W2001141328","https://openalex.org/W2013029404","https://openalex.org/W2053186076","https://openalex.org/W2059861509","https://openalex.org/W2074386779","https://openalex.org/W2104290444","https://openalex.org/W2108119513","https://openalex.org/W2117553576","https://openalex.org/W2125022793","https://openalex.org/W2136787567","https://openalex.org/W2145152441","https://openalex.org/W2154415691","https://openalex.org/W2155759509","https://openalex.org/W2156142937","https://openalex.org/W2156718197","https://openalex.org/W2405459681","https://openalex.org/W2997701990","https://openalex.org/W6608217792","https://openalex.org/W6675747103","https://openalex.org/W6682588271","https://openalex.org/W6682755970","https://openalex.org/W6682991666"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W2127243424","https://openalex.org/W3088634662","https://openalex.org/W4390394189","https://openalex.org/W117517268","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W4294224199"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,53,128],"is":[2,68],"a":[3,50,81],"crucial":[4],"and":[5,15,42,93],"difficult":[6],"issue":[7],"in":[8],"pattern":[9],"recognition":[10],"tasks":[11],"with":[12,58],"the":[13,20,63,74,102,106,110,122],"high-dimensional":[14],"multiple":[16,24],"features.":[17],"To":[18],"extract":[19],"latent":[21],"structure":[22],"of":[23,90,124],"features":[25],"without":[26],"label":[27],"information,":[28],"multi-view":[29,43,56],"learning":[30,41],"algorithms":[31],"have":[32],"been":[33],"developed.":[34],"In":[35,105],"this":[36],"paper,":[37],"motivated":[38],"by":[39,79],"manifold":[40],"Non-negative":[44],"Matrix":[45],"Factorization":[46],"(NM-F),":[47],"we":[48,108],"introduce":[49],"novel":[51],"feature":[52,112,127],"method":[54],"via":[55],"NMF":[57],"local":[59,87],"graph":[60,84],"regularization,":[61],"where":[62],"inner-view":[64],"relatedness":[65],"between":[66],"data":[67],"taken":[69],"into":[70],"consideration.":[71],"We":[72],"propose":[73],"matrix":[75],"factorization":[76],"objective":[77],"function":[78],"constructing":[80],"nearest":[82],"neighbor":[83],"to":[85,99,113],"integrate":[86],"geometrical":[88],"information":[89],"each":[91],"view":[92],"apply":[94],"two":[95],"iterative":[96],"updating":[97],"rules":[98],"effectively":[100],"solve":[101],"optimization":[103],"problem.":[104],"experiment,":[107],"use":[109],"extracted":[111],"cluster":[114],"several":[115],"realistic":[116],"datasets.":[117],"The":[118],"experimental":[119],"results":[120],"demonstrate":[121],"effectiveness":[123],"our":[125],"proposed":[126],"approach.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}