{"id":"https://openalex.org/W2395219220","doi":"https://doi.org/10.1109/icassp.2016.7472482","title":"Detectability prediction of hidden Markov models with cluttered observation sequences","display_name":"Detectability prediction of hidden Markov models with cluttered observation sequences","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2395219220","doi":"https://doi.org/10.1109/icassp.2016.7472482","mag":"2395219220"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5027594680","display_name":"Karl Granstr\u00f6m","orcid":"https://orcid.org/0000-0002-3450-988X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Karl Granstrom","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019392883","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0001-8443-5586"},"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":false,"raw_author_name":"Peter Willett","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","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":false,"raw_author_name":"Yaakov Bar-Shalom","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027594680"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0386465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"4269","last_page":"4273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9912999868392944,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9912999868392944,"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":0.9858999848365784,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8347591161727905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298464775085449},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6401873826980591},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5732972621917725},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5484914183616638},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5302849411964417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5127130746841431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46573084592819214},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4581306576728821},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4328458905220032},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.41734057664871216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3981555104255676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20625165104866028},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15322592854499817},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11367431282997131}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8347591161727905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298464775085449},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6401873826980591},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5732972621917725},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5484914183616638},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5302849411964417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5127130746841431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46573084592819214},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4581306576728821},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4328458905220032},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.41734057664871216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3981555104255676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20625165104866028},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15322592854499817},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11367431282997131},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7472482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:239245","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/239245","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W133782372","https://openalex.org/W601964479","https://openalex.org/W1564989111","https://openalex.org/W1654691402","https://openalex.org/W2010819206","https://openalex.org/W2033655644","https://openalex.org/W2082823418","https://openalex.org/W2101506488","https://openalex.org/W2105594594","https://openalex.org/W2125838338","https://openalex.org/W2138666566","https://openalex.org/W2163599171","https://openalex.org/W2293263533","https://openalex.org/W2333483407","https://openalex.org/W2407257977","https://openalex.org/W2735342152","https://openalex.org/W3133603318","https://openalex.org/W4285719527","https://openalex.org/W6605436437","https://openalex.org/W6633809516","https://openalex.org/W6680352957","https://openalex.org/W6702783055","https://openalex.org/W6741282290"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3173283069"],"abstract_inverted_index":{"There":[0],"is":[1,37,43,64,147],"good":[2],"reason":[3],"to":[4,148],"model":[5],"an":[6,18,44,122],"asymmetric":[7],"threat":[8],"(a":[9],"structured":[10],"action":[11],"such":[12,142],"as":[13,17],"a":[14,25,77,87,107,114],"terrorist":[15],"attack)":[16],"hmm":[19,45],"whose":[20],"observations":[21,34,163],"are":[22,164],"cluttered.":[23],"Recently":[24],"Bernoulli":[26],"filter":[27],"was":[28],"presented":[29],"that":[30,135,166],"can":[31,100,156],"process":[32],"cluttered":[33],"(\u00abtransactions\u00bb)":[35],"and":[36,47,130,159],"capable":[38],"of":[39,53,90,93,109,116,119,125,141,154,162],"detecting":[40],"if":[41,48],"there":[42],"present,":[46],"so,":[49],"estimate":[50],"the":[51,54,65,91,94,110,117],"state":[52],"HMM.":[55],"An":[56],"important":[57],"question":[58],"in":[59],"this":[60,81,167],"context":[61],"is:":[62],"when":[63],"HMM-in-clutter":[66],"problem":[67],"feasible?":[68],"In":[69,80],"other":[70],"words,":[71],"what":[72,152,160],"system":[73],"properties":[74],"allow":[75,106],"for":[76],"solvable":[78],"problem?":[79],"paper":[82],"we":[83],"show":[84,134],"that,":[85],"given":[86,121],"Gaussian":[88],"approximation":[89],"pdf":[92],"log-likelihood,":[95],"approximate":[96],"detection":[97,111,120],"error":[98,104],"bounds":[99,105],"be":[101,157,168],"derived.":[102],"These":[103],"prediction":[108,115],"performance,":[112],"i.e.":[113],"probability":[118],"\u00aboperating":[123],"point\u00bb":[124],"transaction-level":[126],"false":[127],"alarm":[128],"rate":[129],"miss":[131],"probability.":[132],"Simulations":[133],"our":[136],"analysis":[137],"accurately":[138],"predicts":[139],"detectability":[140],"threats.":[143],"Our":[144],"purpose":[145],"here":[146],"make":[149],"statements":[150],"about":[151],"sort":[153],"threats":[155],"detected,":[158],"quality":[161],"necessary":[165],"accomplished.":[169]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}