{"id":"https://openalex.org/W1948760410","doi":"https://doi.org/10.1109/mfi.2015.7295823","title":"What's one mixture divided by another?: A unified approach to high-fidelity distributed data fusion with mixture models","display_name":"What's one mixture divided by another?: A unified approach to high-fidelity distributed data fusion with mixture models","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1948760410","doi":"https://doi.org/10.1109/mfi.2015.7295823","mag":"1948760410"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2015.7295823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2015.7295823","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 Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5100664008","display_name":"Nisar Ahmed","orcid":"https://orcid.org/0000-0002-7555-5671"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nisar R. Ahmed","raw_affiliation_strings":["Aerospace Engineering Sciences, University of Colorado Boulder, CO","Aerospace Engineering Sciences, University of Colorado, Boulder, 80309, USA"],"affiliations":[{"raw_affiliation_string":"Aerospace Engineering Sciences, University of Colorado Boulder, CO","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Aerospace Engineering Sciences, University of Colorado, Boulder, 80309, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100664008"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75626905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9961000084877014,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9961000084877014,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9914000034332275,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/gaussian","display_name":"Gaussian","score":0.7051782608032227},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6080182790756226},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5749908089637756},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5395305752754211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5332707166671753},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5318883061408997},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.5275304317474365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45343250036239624},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4503723680973053},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4245392084121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36665284633636475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3529384732246399},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32066962122917175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07830864191055298}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.7051782608032227},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6080182790756226},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5749908089637756},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5395305752754211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332707166671753},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5318883061408997},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.5275304317474365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45343250036239624},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4503723680973053},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4245392084121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36665284633636475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3529384732246399},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32066962122917175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07830864191055298},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2015.7295823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2015.7295823","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 Multisensor Fusion and Integration for Intelligent Systems (MFI)","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":28,"referenced_works":["https://openalex.org/W104537965","https://openalex.org/W1503003940","https://openalex.org/W1634279436","https://openalex.org/W1663973292","https://openalex.org/W1993129288","https://openalex.org/W1999565686","https://openalex.org/W2014158652","https://openalex.org/W2030935194","https://openalex.org/W2053668828","https://openalex.org/W2069739265","https://openalex.org/W2089657469","https://openalex.org/W2099950056","https://openalex.org/W2101954962","https://openalex.org/W2105208807","https://openalex.org/W2105959128","https://openalex.org/W2113771524","https://openalex.org/W2125105520","https://openalex.org/W2136401700","https://openalex.org/W2143833711","https://openalex.org/W2156682305","https://openalex.org/W2283176806","https://openalex.org/W2325883445","https://openalex.org/W2541763035","https://openalex.org/W2734396786","https://openalex.org/W4212863985","https://openalex.org/W6604239174","https://openalex.org/W6636733766","https://openalex.org/W6680073339"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W2891970004","https://openalex.org/W4240963716","https://openalex.org/W1996916724","https://openalex.org/W1974634278","https://openalex.org/W1596637634","https://openalex.org/W2321918740","https://openalex.org/W2939022137","https://openalex.org/W1992295166","https://openalex.org/W2143508933"],"abstract_inverted_index":{"This":[0],"work":[1],"examines":[2],"the":[3,33,50,72,79,86,103],"problem":[4,35],"of":[5,36,52,61,78],"using":[6],"finite":[7],"Gaussian":[8,117],"mixtures":[9],"(GMs)":[10],"in":[11,95],"Bayesian":[12],"message":[13],"passing":[14],"algorithms":[15,111],"for":[16,90],"decentralized":[17],"data":[18],"fusion":[19,45,56,93,126],"(DDF).":[20],"It":[21,82],"is":[22,83,94],"shown":[23,84,130],"that":[24,47,85,128],"both":[25],"exact":[26],"and":[27,135],"conservative":[28],"GM":[29,40,57,92,125],"DDF":[30],"lead":[31],"to":[32,42,114,119,124,131],"same":[34],"finding":[37],"a":[38,43,53,98],"suitable":[39],"approximation":[41],"posterior":[44],"pdf":[46,69,89],"results":[48],"from":[49],"division":[51],"`naive":[54],"Bayes'":[55],"(representing":[58,70],"direct":[59],"combination":[60],"possibly":[62],"dependent":[63],"information":[64,80],"sources)":[65],"by":[66],"another":[67],"non-Gaussian":[68,121],"either":[71],"actual":[73],"or":[74],"estimated":[75],"`common":[76],"information'":[77],"sources).":[81],"resulting":[87],"quotient":[88],"general":[91],"fact":[96],"naturally":[97],"mixture":[99],"model":[100],"pdf,":[101],"although":[102],"fused":[104],"mixands":[105],"are":[106,112,129],"non-Gaussian.":[107],"Parallelizable":[108],"importance":[109],"sampling":[110],"proposed":[113,139],"find":[115],"tractable":[116],"approximations":[118,127],"these":[120],"mixtures,":[122],"leading":[123],"be":[132],"more":[133],"robust":[134],"accurate":[136],"than":[137],"previously":[138],"techniques.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}