{"id":"https://openalex.org/W2152706606","doi":"https://doi.org/10.1109/icsmc.2005.1571649","title":"The Dimensionless Score Function for Multiple Hypothesis Decisionin Tracking","display_name":"The Dimensionless Score Function for Multiple Hypothesis Decisionin Tracking","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W2152706606","doi":"https://doi.org/10.1109/icsmc.2005.1571649","mag":"2152706606"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2005.1571649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","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/A5044127482","display_name":"Yaakov Bar\u2010Shalom","orcid":"https://orcid.org/0000-0003-1317-3368"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Y. Bar-Shalom","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109214790","display_name":"Samuel S. Blackman","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.S. Blackman","raw_affiliation_strings":["Raytheon Company, El Segundo, CA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon Company, El Segundo, CA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020285249","display_name":"R.J. Fitzgerald","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.J. Fitzgerald","raw_affiliation_strings":["Raytheon Company, Sudbury, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon Company, Sudbury, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044127482"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.13644633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"3264","last_page":"3269"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9611999988555908,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.7068074345588684},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.646485447883606},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6038109064102173},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5531672835350037},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5392083525657654},{"id":"https://openalex.org/keywords/dimensionless-quantity","display_name":"Dimensionless quantity","score":0.5340145230293274},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5330625176429749},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49202510714530945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4828634560108185},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48214051127433777},{"id":"https://openalex.org/keywords/score","display_name":"Score","score":0.459957480430603},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.431233286857605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40408849716186523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3878379464149475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3527631461620331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34762880206108093},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.19868561625480652},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08748111128807068}],"concepts":[{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.7068074345588684},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.646485447883606},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6038109064102173},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5531672835350037},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5392083525657654},{"id":"https://openalex.org/C24872484","wikidata":"https://www.wikidata.org/wiki/Q126818","display_name":"Dimensionless quantity","level":2,"score":0.5340145230293274},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5330625176429749},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49202510714530945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828634560108185},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48214051127433777},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.459957480430603},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.431233286857605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40408849716186523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3878379464149475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3527631461620331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34762880206108093},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.19868561625480652},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08748111128807068},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2005.1571649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1568122762","https://openalex.org/W1663421356","https://openalex.org/W1990546837","https://openalex.org/W1997637464","https://openalex.org/W2058130919","https://openalex.org/W2127923214","https://openalex.org/W2129078811","https://openalex.org/W2137688837","https://openalex.org/W2156628519","https://openalex.org/W2157812763","https://openalex.org/W2238582461"],"related_works":["https://openalex.org/W1486530265","https://openalex.org/W2473791430","https://openalex.org/W2141324124","https://openalex.org/W1673231687","https://openalex.org/W3150222030","https://openalex.org/W3021468056","https://openalex.org/W2009106893","https://openalex.org/W2553628463","https://openalex.org/W2184984946","https://openalex.org/W2084412915"],"abstract_inverted_index":{"This":[0,27],"paper":[1],"discusses":[2],"several":[3],"theoretical":[4],"issues":[5,158],"related":[6],"to":[7,47,75,82],"the":[8,12,17,22,31,34,37,48,66,83,104,119,135,142,152],"score":[9,28,60],"function":[10,29],"for":[11,118,141,151],"measurement-to-track":[13],"association/assignment":[14],"decision":[15],"in":[16],"track":[18,84],"oriented":[19,85],"version":[20],"of":[21,36,39,50,99,121,124,128,134,159,161],"multiple":[23,154],"hypothesis":[24],"tracker":[25],"(MHT).":[26],"is":[30,61,73,103,108],"likelihood":[32,58,101,136],"ratio:":[33],"ratio":[35,59,102,137],"pdf":[38,49],"a":[40,45,54,100,109],"measurement":[41,52],"having":[42,53],"originated":[43],"from":[44,65],"track,":[46],"this":[51],"different":[55,122,129,162,165],"origin.":[56],"The":[57,87,96,131,157],"derived":[62],"rigorously":[63],"starting":[64],"fully":[67],"Bayesian":[68],"(hypothesis":[69],"oriented)":[70],"MHT,":[71],"which":[72],"shown":[74],"be":[76,90,116],"amenable":[77],"under":[78],"some":[79],"(reasonable)":[80],"assumptions":[81],"MHT.":[86],"latter":[88],"can":[89,115],"implemented":[91],"efficiently":[92],"using":[93],"multidimensional":[94],"assignment.":[95],"main":[97],"feature":[98],"fact":[105],"that":[106],"it":[107],"(physically)":[110],"dimensionless":[111],"quantity":[112],"and,":[113],"consequently,":[114],"used":[117,144],"association":[120],"numbers":[123],"measurements":[125,127,160],"and/or":[126],"dimension.":[130],"explicit":[132],"forms":[133],"are":[138,168],"discussed":[139],"both":[140],"commonly":[143],"Kalman":[145],"tracking":[146],"filter,":[147],"as":[148,150],"well":[149],"interacting":[153],"model":[155],"estimator.":[156],"dimension":[163],"and":[164],"coordinate":[166],"systems":[167],"also":[169],"discussed.":[170]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}