{"id":"https://openalex.org/W2109394460","doi":"https://doi.org/10.1109/tip.2010.2048613","title":"Adaptive Langevin Sampler for Separation of $t$-Distribution Modelled Astrophysical Maps","display_name":"Adaptive Langevin Sampler for Separation of $t$-Distribution Modelled Astrophysical Maps","publication_year":2010,"publication_date":"2010-04-20","ids":{"openalex":"https://openalex.org/W2109394460","doi":"https://doi.org/10.1109/tip.2010.2048613","mag":"2109394460","pmid":"https://pubmed.ncbi.nlm.nih.gov/20409994"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2010.2048613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2048613","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1101.1396","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"K Kayabol","orcid":null},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"K Kayabol","raw_affiliation_strings":["Institute of Information Science and Technologies, Italian National Research Council, Pisa, Italy. koray.kayabol@isti.cnr.it"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Technologies, Italian National Research Council, Pisa, Italy. koray.kayabol@isti.cnr.it","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ercan E Kuruo\u011flu","orcid":null},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ercan E Kuruo\u011flu","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":null,"display_name":"J L Sanz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152024","display_name":"Instituto de F\u00edsica de Cantabria","ror":"https://ror.org/040kx1j83","country_code":"ES","type":"facility","lineage":["https://openalex.org/I13134134","https://openalex.org/I134820265","https://openalex.org/I4210152024"]},{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J L Sanz","raw_affiliation_strings":["IFCA, University of Cantabria, Santander, Spain"],"affiliations":[{"raw_affiliation_string":"IFCA, University of Cantabria, Santander, Spain","institution_ids":["https://openalex.org/I4210152024","https://openalex.org/I13134134"]}]},{"author_position":"middle","author":{"id":null,"display_name":"B Sankur","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B Sankur","raw_affiliation_strings":["Electrical & Electronics Eng. Dept., Bogazici University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical & Electronics Eng. Dept., Bogazici University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":null,"display_name":"E Salerno","orcid":null},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E Salerno","raw_affiliation_strings":["ISTI, CNR, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"ISTI, CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":null,"display_name":"D Herranz","orcid":null},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]},{"id":"https://openalex.org/I4210152024","display_name":"Instituto de F\u00edsica de Cantabria","ror":"https://ror.org/040kx1j83","country_code":"ES","type":"facility","lineage":["https://openalex.org/I13134134","https://openalex.org/I134820265","https://openalex.org/I4210152024"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"D Herranz","raw_affiliation_strings":["IFCA, University of Cantabria, Santander, Spain"],"affiliations":[{"raw_affiliation_string":"IFCA, University of Cantabria, Santander, Spain","institution_ids":["https://openalex.org/I4210152024","https://openalex.org/I13134134"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":null,"apc_paid":null,"fwci":3.0412,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92064299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"9","first_page":"2357","last_page":"2368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.29429998993873596,"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":0.29429998993873596,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.08259999752044678,"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/T12303","display_name":"Tensor decomposition and applications","score":0.07400000095367432,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6572999954223633},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5753999948501587},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5590999722480774},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5491999983787537},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5339000225067139},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4982999861240387},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.46219998598098755},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44670000672340393},{"id":"https://openalex.org/keywords/langevin-equation","display_name":"Langevin equation","score":0.4090000092983246}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6572999954223633},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5753999948501587},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5590999722480774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5539000034332275},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5491999983787537},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4982999861240387},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4634000062942505},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4514999985694885},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C2777577648","wikidata":"https://www.wikidata.org/wiki/Q584537","display_name":"Langevin equation","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3707999885082245},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34380000829696655},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.30959999561309814},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C187192777","wikidata":"https://www.wikidata.org/wiki/Q381699","display_name":"Rejection sampling","level":5,"score":0.27320000529289246},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C132771110","wikidata":"https://www.wikidata.org/wiki/Q506922","display_name":"Adaptive optics","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tip.2010.2048613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2048613","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:20409994","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20409994","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:digital.csic.es:10261/384519","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/384519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:arXiv.org:1101.1396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1101.1396","pdf_url":"https://arxiv.org/pdf/1101.1396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dnet:people______::61571a4b46831c20acd4ecda366e8d23","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Other"},{"id":"pmh:oai:dnet:people______::77fc5c3dbd7eec71d3b739ad0fabbf8c","is_oa":false,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::77fc5c3dbd7eec71d3b739ad0fabbf8c","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on image processing 19 (2010): 2357\u20132368. doi:10.1109/TIP.2010.2048613","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1101.1396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1101.1396","pdf_url":"https://arxiv.org/pdf/1101.1396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1555683961","https://openalex.org/W1679572249","https://openalex.org/W1976579441","https://openalex.org/W2008164950","https://openalex.org/W2038826500","https://openalex.org/W2050237878","https://openalex.org/W2057291289","https://openalex.org/W2087624373","https://openalex.org/W2110731625","https://openalex.org/W2112154139","https://openalex.org/W2120436694","https://openalex.org/W2121424729","https://openalex.org/W2123864481","https://openalex.org/W2128104012","https://openalex.org/W2129956145","https://openalex.org/W2133418847","https://openalex.org/W2138309709","https://openalex.org/W2142074624","https://openalex.org/W2145319246","https://openalex.org/W2155492104","https://openalex.org/W2157239925","https://openalex.org/W2160976682","https://openalex.org/W2163887005","https://openalex.org/W4205110562","https://openalex.org/W6600828528","https://openalex.org/W6638969408","https://openalex.org/W6670322988","https://openalex.org/W6683866173","https://openalex.org/W6782398337"],"related_works":[],"abstract_inverted_index":{"We":[0,26],"propose":[1],"to":[2,15,37],"model":[3],"the":[4,19,39,44,52,66,70,87,103,106],"image":[5],"differentials":[6],"of":[7,62,77],"astrophysical":[8,40,92],"source":[9,21,93],"maps":[10],"by":[11],"Student's":[12,81],"t-distribution":[13,82],"and":[14,42,68,105],"use":[16,51],"them":[17],"in":[18,102],"Bayesian":[20],"separation":[22,94],"method":[23],"as":[24],"priors.":[25],"introduce":[27],"an":[28],"efficient":[29],"Markov":[30],"Chain":[31],"Monte":[32],"Carlo":[33],"(MCMC)":[34],"sampling":[35],"scheme":[36],"unmix":[38],"sources":[41],"describe":[43],"derivation":[45],"details.":[46],"In":[47,79],"this":[48],"scheme,":[49],"we":[50],"Langevin":[53],"stochastic":[54],"equation":[55],"for":[56],"transitions,":[57],"which":[58],"enables":[59],"parallel":[60],"drawing":[61],"random":[63],"samples":[64],"from":[65],"posterior,":[67],"reduces":[69],"computation":[71],"time":[72],"significantly":[73],"(by":[74],"two":[75,98],"orders":[76],"magnitude).":[78],"addition,":[80],"parameters":[83],"are":[84,95],"updated":[85],"throughout":[86],"iterations.":[88],"The":[89],"results":[90],"on":[91],"assessed":[96],"with":[97],"performance":[99],"criteria":[100],"defined":[101],"pixel":[104],"frequency":[107],"domains.":[108]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2016-06-24T00:00:00"}
