{"id":"https://openalex.org/W3115589710","doi":"https://doi.org/10.23919/eusipco47968.2020.9287756","title":"Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data","display_name":"Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3115589710","doi":"https://doi.org/10.23919/eusipco47968.2020.9287756","mag":"3115589710"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287756","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5014199804","display_name":"Xiulin Wang","orcid":"https://orcid.org/0000-0002-8884-0973"},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["CN","FI"],"is_corresponding":true,"raw_author_name":"Xiulin Wang","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039797614","display_name":"Wenya Liu","orcid":"https://orcid.org/0000-0003-1051-7751"},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Wenya Liu","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042937962","display_name":"Fengyu Cong","orcid":"https://orcid.org/0000-0003-0058-2429"},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Fengyu Cong","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086891852","display_name":"Tapani Ristaniemi","orcid":"https://orcid.org/0000-0002-8461-3968"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapani Ristaniemi","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014199804"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944","https://openalex.org/I94722563"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16129032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2125","last_page":"2129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"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":0.9944999814033508,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7752834558486938},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6967902779579163},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6265518069267273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615869402885437},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5557125806808472},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5454890727996826},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49178317189216614},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45156410336494446},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43582695722579956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4257502555847168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.422555148601532},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4222417175769806},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36986327171325684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.364646315574646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24646690487861633},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07041370868682861}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7752834558486938},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6967902779579163},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6265518069267273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615869402885437},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5557125806808472},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5454890727996826},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49178317189216614},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45156410336494446},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43582695722579956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4257502555847168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.422555148601532},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4222417175769806},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36986327171325684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.364646315574646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24646690487861633},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07041370868682861},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287756","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1850275953","https://openalex.org/W1902027874","https://openalex.org/W1968154520","https://openalex.org/W1969838491","https://openalex.org/W1971752899","https://openalex.org/W1985915435","https://openalex.org/W2026034143","https://openalex.org/W2083384375","https://openalex.org/W2118718620","https://openalex.org/W2155151262","https://openalex.org/W2158821123","https://openalex.org/W2164278908","https://openalex.org/W2204996511","https://openalex.org/W2344461865","https://openalex.org/W2405400056","https://openalex.org/W2530593441","https://openalex.org/W2776537859","https://openalex.org/W2811169667","https://openalex.org/W2907514564","https://openalex.org/W2962853966","https://openalex.org/W2987046631"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","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","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Constrained":[0],"joint":[1,33],"analysis":[2],"of":[3,65,86,99],"data":[4],"from":[5],"multiple":[6],"sources":[7],"has":[8],"received":[9],"widespread":[10],"attention":[11],"for":[12],"that":[13],"it":[14],"allows":[15],"us":[16],"to":[17,49,91],"explore":[18],"potential":[19],"connections":[20],"and":[21,62,77,82],"extract":[22],"meaningful":[23],"hidden":[24],"components.":[25],"In":[26,57],"this":[27],"paper,":[28],"we":[29,103],"formulate":[30],"a":[31],"flexible":[32],"source":[34],"separation":[35],"model":[36],"termed":[37],"as":[38],"group":[39],"nonnegative":[40,75],"matrix":[41],"factorization":[42],"with":[43,73],"sparse":[44,78],"regularization":[45],"(GNMF-SR),":[46],"which":[47],"aims":[48],"jointly":[50],"analyze":[51],"the":[52,58,93,97,105,111],"partially":[53],"coupled":[54],"multi-set":[55],"data.":[56],"GNMF-SR":[59,94,107],"model,":[60],"common":[61],"individual":[63],"patterns":[64],"particular":[66],"underlying":[67],"factors":[68],"can":[69,109],"be":[70],"extracted":[71],"simultaneously":[72],"imposing":[74],"constraint":[76],"penalty.":[79],"Alternating":[80],"optimization":[81],"alternating":[83],"direction":[84],"method":[85],"multipliers":[87],"(ADMM)":[88],"are":[89],"combined":[90],"solve":[92],"model.":[95],"Using":[96],"experiment":[98],"simulated":[100],"fMRI-like":[101],"data,":[102],"demonstrate":[104],"ADMM-based":[106],"algorithm":[108],"achieve":[110],"better":[112],"performance.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}