{"id":"https://openalex.org/W2083964003","doi":"https://doi.org/10.3390/e17052573","title":"Source Localization by Entropic Inference and Backward Renormalization Group Priors","display_name":"Source Localization by Entropic Inference and Backward Renormalization Group Priors","publication_year":2015,"publication_date":"2015-04-23","ids":{"openalex":"https://openalex.org/W2083964003","doi":"https://doi.org/10.3390/e17052573","mag":"2083964003"},"language":"en","primary_location":{"id":"doi:10.3390/e17052573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17052573","pdf_url":"https://www.mdpi.com/1099-4300/17/5/2573/pdf?version=1429778229","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/17/5/2573/pdf?version=1429778229","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045442193","display_name":"Nestor Caticha","orcid":"https://orcid.org/0000-0002-7446-6765"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Nestor Caticha","raw_affiliation_strings":["Departamento de F\u00edsica Geral, Instituto de F\u00edsica, Universidade de S\u00e3o Paulo, CP 66318, 05315-970, S\u00e3o Paulo-SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de F\u00edsica Geral, Instituto de F\u00edsica, Universidade de S\u00e3o Paulo, CP 66318, 05315-970, S\u00e3o Paulo-SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045442193"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3673,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6818365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":"5","first_page":"2573","last_page":"2589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9921000003814697,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9921000003814697,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9901999831199646,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.9455990195274353},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8093849420547485},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6095783710479736},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5470122694969177},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48353147506713867},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.47362324595451355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46475115418434143},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45404377579689026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4293235242366791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41639775037765503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4105824828147888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4068426489830017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39723536372184753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18309471011161804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09854766726493835}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.9455990195274353},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8093849420547485},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6095783710479736},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5470122694969177},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48353147506713867},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.47362324595451355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46475115418434143},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45404377579689026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4293235242366791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41639775037765503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4105824828147888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4068426489830017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39723536372184753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18309471011161804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09854766726493835},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e17052573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17052573","pdf_url":"https://www.mdpi.com/1099-4300/17/5/2573/pdf?version=1429778229","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8b5b8478f0b4cc2927d8bd5a4cf1964","is_oa":true,"landing_page_url":"https://doaj.org/article/a8b5b8478f0b4cc2927d8bd5a4cf1964","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 17, Iss 5, Pp 2573-2589 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/17/5/2573/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e17052573","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e17052573","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17052573","pdf_url":"https://www.mdpi.com/1099-4300/17/5/2573/pdf?version=1429778229","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W589316553","https://openalex.org/W1663973292","https://openalex.org/W1897454045","https://openalex.org/W1974249352","https://openalex.org/W2041132213","https://openalex.org/W2045309209","https://openalex.org/W2072522618","https://openalex.org/W2078906195","https://openalex.org/W2085719143","https://openalex.org/W2098514864","https://openalex.org/W2114593990","https://openalex.org/W2177422054","https://openalex.org/W3101891217","https://openalex.org/W4297976121"],"related_works":["https://openalex.org/W26704839","https://openalex.org/W2793406240","https://openalex.org/W3128856671","https://openalex.org/W2164129707","https://openalex.org/W4292122269","https://openalex.org/W2949366006","https://openalex.org/W3041490575","https://openalex.org/W1982461258","https://openalex.org/W2970690932","https://openalex.org/W2990563994"],"abstract_inverted_index":{"A":[0],"systematic":[1],"method":[2,152],"of":[3,41,71,124,140,143,160,166],"transferring":[4],"information":[5],"from":[6,27],"coarser":[7,30],"to":[8,104,110,148,156],"finer":[9,25],"resolution":[10],"based":[11],"on":[12,115],"renormalization":[13],"group":[14],"(RG)":[15],"transformations":[16,37],"is":[17,66,129,153],"introduced.":[18],"It":[19],"permits":[20],"building":[21],"informative":[22],"priors":[23,47,95],"in":[24,29,38,88],"scales":[26,31],"posteriors":[28,54],"since,":[32],"under":[33],"some":[34],"conditions,":[35],"RG":[36,63],"the":[39,89,116,126,134,141,151,164,167],"space":[40],"hyperparameters":[42,144],"can":[43,97,145],"be":[44,98],"inverted.":[45],"These":[46],"are":[48,81,108],"updated":[49],"using":[50],"renormalized":[51],"data":[52],"into":[53],"by":[55,68],"Maximum":[56],"Entropy.":[57],"The":[58],"resulting":[59],"inference":[60],"method,":[61],"backward":[62],"(BRG)":[64],"priors,":[65],"tested":[67],"doing":[69],"simulations":[70],"a":[72,84],"functional":[73],"magnetic":[74],"resonance":[75],"imaging":[76],"(fMRI)":[77],"experiment.":[78],"Its":[79],"results":[80],"compared":[82],"with":[83],"Bayesian":[85,119,137],"approach":[86],"working":[87],"finest":[90],"available":[91],"resolution.":[92],"Using":[93],"BRG":[94,127],"sources":[96,168],"partially":[99,172],"identified":[100],"even":[101],"when":[102],"signal":[103],"noise":[105,125],"ratio":[106],"levels":[107,123,159],"up":[109],"~":[111],"-25dB":[112],"improving":[113],"vastly":[114],"single":[117,135],"step":[118],"approach.":[120],"For":[121],"low":[122],"prior":[128],"not":[130],"an":[131],"improvement":[132],"over":[133],"scale":[136],"method.":[138],"Analysis":[139],"histograms":[142],"show":[146],"how":[147],"distinguish":[149],"if":[150,163],"failing,":[154],"due":[155],"very":[157],"high":[158],"noise,":[161],"or":[162],"identification":[165],"is,":[169],"at":[170],"least":[171],"possible.":[173]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
