{"id":"https://openalex.org/W2773692223","doi":"https://doi.org/10.1109/iccais.2017.8217580","title":"Efficient generalized labeled multi-bernoulli filter for jump Markov system","display_name":"Efficient generalized labeled multi-bernoulli filter for jump Markov system","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773692223","doi":"https://doi.org/10.1109/iccais.2017.8217580","mag":"2773692223"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2017.8217580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5012249167","display_name":"Yuthika Punchihewa","orcid":"https://orcid.org/0000-0002-3610-4050"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yuthika Punchihewa","raw_affiliation_strings":["Dept. Electrical and Computer Engineering, Curtin University of Technology, Western, Australia"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, Curtin University of Technology, Western, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012249167"],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":1.0385,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83831577,"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":"221","last_page":"226"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9775000214576721,"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/bernoullis-principle","display_name":"Bernoulli's principle","score":0.7915165424346924},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.7013951539993286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126885414123535},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5610677599906921},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.5267714262008667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5139371752738953},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4907013177871704},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4704298675060272},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45822465419769287},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4297768771648407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3317458927631378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18566560745239258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13589301705360413},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12906426191329956},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10314154624938965}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.7915165424346924},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.7013951539993286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126885414123535},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5610677599906921},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.5267714262008667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5139371752738953},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4907013177871704},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4704298675060272},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45822465419769287},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4297768771648407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3317458927631378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18566560745239258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13589301705360413},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12906426191329956},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10314154624938965},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2017.8217580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":60,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W48213915","https://openalex.org/W652333456","https://openalex.org/W1424291775","https://openalex.org/W1513008779","https://openalex.org/W1556457043","https://openalex.org/W1557595030","https://openalex.org/W1745301770","https://openalex.org/W1809385144","https://openalex.org/W1845278593","https://openalex.org/W1909771825","https://openalex.org/W1959279866","https://openalex.org/W1964882361","https://openalex.org/W1965106715","https://openalex.org/W1977234023","https://openalex.org/W1992159523","https://openalex.org/W1994684794","https://openalex.org/W2006043129","https://openalex.org/W2014787937","https://openalex.org/W2033804800","https://openalex.org/W2049244691","https://openalex.org/W2055406046","https://openalex.org/W2071625890","https://openalex.org/W2080227827","https://openalex.org/W2088373424","https://openalex.org/W2094728544","https://openalex.org/W2103632679","https://openalex.org/W2105905583","https://openalex.org/W2106360727","https://openalex.org/W2106873007","https://openalex.org/W2110354007","https://openalex.org/W2112085896","https://openalex.org/W2117189568","https://openalex.org/W2123185183","https://openalex.org/W2123378338","https://openalex.org/W2137345842","https://openalex.org/W2137585588","https://openalex.org/W2154353836","https://openalex.org/W2160320341","https://openalex.org/W2161435744","https://openalex.org/W2169346523","https://openalex.org/W2298794335","https://openalex.org/W2552885086","https://openalex.org/W2586975548","https://openalex.org/W2616779259","https://openalex.org/W2729012890","https://openalex.org/W2950667968","https://openalex.org/W2963139408","https://openalex.org/W2963272312","https://openalex.org/W2964111495","https://openalex.org/W3098020076","https://openalex.org/W3103587788","https://openalex.org/W4297824677","https://openalex.org/W6633359097","https://openalex.org/W6633511732","https://openalex.org/W6670660059","https://openalex.org/W6676462664","https://openalex.org/W6676918812","https://openalex.org/W6697246091","https://openalex.org/W6764509874"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W1619264321","https://openalex.org/W2042589464","https://openalex.org/W2899588557","https://openalex.org/W3158981924","https://openalex.org/W2078650164","https://openalex.org/W4254565718","https://openalex.org/W4298392611","https://openalex.org/W3094386089"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"efficient":[3],"implementations":[4],"for":[5,11],"a":[6,12,28,34],"Generalized":[7],"Labeled":[8],"Multi-Bernoulli":[9],"filter":[10,18,42,53],"Jump":[13],"Markov":[14],"System.":[15],"The":[16,38],"proposed":[17],"operates":[19],"via":[20],"combining":[21],"both":[22],"prediction":[23,56],"and":[24,57],"update":[25,58],"steps":[26],"into":[27],"single":[29,35],"step,":[30],"therefore":[31],"requiring":[32],"merely":[33],"truncation":[36],"procedure.":[37],"efficiency":[39],"of":[40],"the":[41,51],"is":[43],"evaluated":[44],"using":[45],"simulation":[46],"examples":[47],"with":[48,54],"comparison":[49],"to":[50],"existing":[52],"separate":[55],"steps.":[59]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
