{"id":"https://openalex.org/W2012567502","doi":"https://doi.org/10.1109/acssc.2014.7094648","title":"Enabling distributed detection with dependent sensors","display_name":"Enabling distributed detection with dependent sensors","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2012567502","doi":"https://doi.org/10.1109/acssc.2014.7094648","mag":"2012567502"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2014.7094648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064338854","display_name":"Brian Proulx","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Proulx","raw_affiliation_strings":["School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027033026","display_name":"Junshan Zhang","orcid":"https://orcid.org/0000-0002-3840-1753"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junshan Zhang","raw_affiliation_strings":["School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112661161","display_name":"Douglas Cochran","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Cochran","raw_affiliation_strings":["School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe AZ 85287","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"1199","last_page":"1203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9991999864578247,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9991999864578247,"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":0.996399998664856,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9945999979972839,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6663547158241272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654776394367218},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.6002441644668579},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5843423008918762},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5842686295509338},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5606814026832581},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5567182302474976},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5261967778205872},{"id":"https://openalex.org/keywords/compact-space","display_name":"Compact space","score":0.46403053402900696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45300236344337463},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4358823001384735},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.4332464933395386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.281281054019928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2682691812515259},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15456244349479675}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6663547158241272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654776394367218},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.6002441644668579},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5843423008918762},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5842686295509338},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5606814026832581},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5567182302474976},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5261967778205872},{"id":"https://openalex.org/C18648836","wikidata":"https://www.wikidata.org/wiki/Q381892","display_name":"Compact space","level":2,"score":0.46403053402900696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45300236344337463},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4358823001384735},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.4332464933395386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.281281054019928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2682691812515259},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15456244349479675},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2014.7094648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W135467536","https://openalex.org/W1547358136","https://openalex.org/W1586086488","https://openalex.org/W1593793857","https://openalex.org/W2017580082","https://openalex.org/W2089295672","https://openalex.org/W2102931639","https://openalex.org/W2134864073","https://openalex.org/W7061399666"],"related_works":["https://openalex.org/W2121543990","https://openalex.org/W2402800040","https://openalex.org/W4252969132","https://openalex.org/W2000020320","https://openalex.org/W2805799113","https://openalex.org/W1981078319","https://openalex.org/W4387315838","https://openalex.org/W2077709279","https://openalex.org/W2054358698","https://openalex.org/W2059586439"],"abstract_inverted_index":{"Computational":[0],"issues":[1],"affecting":[2],"the":[3,18,31,35,60,73,85,91,98],"feasibility":[4],"of":[5,34,45,62,75,87,100],"optimal":[6],"distributed":[7],"detection":[8],"with":[9,84],"correlated":[10,36],"measurements":[11],"are":[12],"well":[13],"recognized.":[14],"We":[15],"propose":[16],"utilizing":[17],"t-cherry":[19],"junction":[20],"tree,":[21],"an":[22],"approach":[23,41,102],"based":[24],"on":[25],"probabilistic":[26],"graphical":[27],"models,":[28],"to":[29,77],"approximate":[30],"joint":[32],"distribution":[33,81],"measurements.":[37],"In":[38],"principle,":[39],"this":[40,101],"provides":[42],"a":[43,80],"sequence":[44],"progressively":[46],"more":[47],"efficiently":[48],"represented":[49],"approximations":[50],"that":[51],"enable":[52],"tradeoff":[53],"between":[54],"fidelity":[55],"and":[56,97],"compactness.":[57],"Practically,":[58],"however,":[59],"impact":[61],"generating":[63],"estimated":[64],"distributions":[65],"from":[66],"training":[67],"data":[68],"can":[69],"be":[70],"significant":[71],"as":[72],"number":[74,86],"parameters":[76],"estimate":[78],"in":[79,90],"grows":[82],"exponentially":[83],"random":[88],"variables":[89],"distribution.":[92],"This":[93],"limitation":[94],"is":[95,103],"quantified":[96],"performance":[99],"illustrated":[104],"via":[105],"simulation":[106],"studies.":[107]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}