{"id":"https://openalex.org/W2765488539","doi":"https://doi.org/10.23919/eusipco.2017.8081497","title":"Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization","display_name":"Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765488539","doi":"https://doi.org/10.23919/eusipco.2017.8081497","mag":"2765488539"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081497","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th 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/A5047251321","display_name":"Peter Berger","orcid":"https://orcid.org/0000-0003-4159-7651"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Peter Berger","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070718076","display_name":"G\u00e1bor Hann\u00e1k","orcid":"https://orcid.org/0000-0003-3586-8072"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gabor Hannak","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012959491","display_name":"Gerald Matz","orcid":"https://orcid.org/0000-0003-1784-806X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gerald Matz","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047251321"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62993965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"286","issue":null,"first_page":"1689","last_page":"1693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9803000092506409,"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/smoothing","display_name":"Smoothing","score":0.5759770274162292},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.564736008644104},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5544171929359436},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5499699115753174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5179852247238159},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5122687220573425},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.48293086886405945},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4687030017375946},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4488181173801422},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4456581771373749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44023704528808594},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43030235171318054},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42726415395736694},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4054981768131256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33749496936798096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21698927879333496},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20073449611663818},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.107402503490448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10502967238426208}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5759770274162292},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.564736008644104},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5544171929359436},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5499699115753174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5179852247238159},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5122687220573425},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.48293086886405945},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4687030017375946},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4488181173801422},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4456581771373749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44023704528808594},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43030235171318054},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42726415395736694},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4054981768131256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33749496936798096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21698927879333496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20073449611663818},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.107402503490448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10502967238426208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081497","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","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":32,"referenced_works":["https://openalex.org/W1491300635","https://openalex.org/W1568130442","https://openalex.org/W1968824304","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W2003741412","https://openalex.org/W2004559848","https://openalex.org/W2008620264","https://openalex.org/W2023722580","https://openalex.org/W2059980912","https://openalex.org/W2060945009","https://openalex.org/W2092663520","https://openalex.org/W2095984592","https://openalex.org/W2100556411","https://openalex.org/W2101491865","https://openalex.org/W2142224912","https://openalex.org/W2167732364","https://openalex.org/W2215668387","https://openalex.org/W2399573548","https://openalex.org/W2406823926","https://openalex.org/W2464844547","https://openalex.org/W2514189416","https://openalex.org/W2593637510","https://openalex.org/W2734839255","https://openalex.org/W2936995161","https://openalex.org/W2963541115","https://openalex.org/W3124114587","https://openalex.org/W4242087913","https://openalex.org/W4247571494","https://openalex.org/W6629361417","https://openalex.org/W6712656586","https://openalex.org/W6761030284"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W2117229703","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2985979428","https://openalex.org/W2510140549","https://openalex.org/W2187449906","https://openalex.org/W2962818859"],"abstract_inverted_index":{"We":[0,30],"extend":[1],"our":[2],"previous":[3],"work":[4],"on":[5],"learning":[6],"smooth":[7],"graph":[8],"signals":[9],"from":[10],"a":[11,25,37],"small":[12],"number":[13],"of":[14,39],"noisy":[15],"signal":[16],"samples.":[17],"Minimizing":[18],"the":[19],"signal's":[20],"total":[21],"variation":[22],"amounts":[23],"to":[24,32],"non-smooth":[26],"convex":[27],"optimization":[28],"problem.":[29],"propose":[31],"solve":[33],"this":[34],"problem":[35],"using":[36],"combination":[38],"Nesterov's":[40],"smoothing":[41],"technique":[42],"and":[43],"accelerated":[44],"coordinate":[45],"descent.":[46],"The":[47],"resulting":[48],"algorithm":[49],"converges":[50],"substantially":[51],"faster,":[52],"specifically":[53],"for":[54],"graphs":[55],"with":[56],"vastly":[57],"varying":[58],"node":[59],"degrees":[60],"(e.g.,":[61],"scale-free":[62],"graphs).":[63]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}