{"id":"https://openalex.org/W4398787791","doi":"https://doi.org/10.1109/tsp.2024.3405325","title":"Robust Target Localization in 2D: A Value-at-Risk Approach","display_name":"Robust Target Localization in 2D: A Value-at-Risk Approach","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398787791","doi":"https://doi.org/10.1109/tsp.2024.3405325"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3405325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp.2024.3405325","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5025746278","display_name":"Jo\u00e3o Domingos","orcid":"https://orcid.org/0000-0003-1266-2215"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jo\u00e3o Domingos","raw_affiliation_strings":["Instituto de Sistemas e Rob&#x00F3;tica of Instituto Superior T&#x00E9;cnico, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Sistemas e Rob&#x00F3;tica of Instituto Superior T&#x00E9;cnico, Lisboa, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054699169","display_name":"Jo\u00e3o Xavier","orcid":"https://orcid.org/0000-0002-9669-8532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Xavier","raw_affiliation_strings":["Instituto de Sistemas e Rob&#x00F3;tica of Instituto Superior T&#x00E9;cnico, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Sistemas e Rob&#x00F3;tica of Instituto Superior T&#x00E9;cnico, Lisboa, Portugal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025746278"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05665986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":null,"first_page":"3028","last_page":"3042"},"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":0.7332000136375427,"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":0.7332000136375427,"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/T10136","display_name":"Statistical Methods and Inference","score":0.6690999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4811348021030426},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4589979648590088},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4369617700576782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3454896807670593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32209354639053345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15335726737976074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4811348021030426},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4589979648590088},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4369617700576782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3454896807670593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32209354639053345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15335726737976074},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2024.3405325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp.2024.3405325","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1497886808","https://openalex.org/W1606492702","https://openalex.org/W1647779468","https://openalex.org/W1988543519","https://openalex.org/W1988746686","https://openalex.org/W1992422840","https://openalex.org/W1994166723","https://openalex.org/W2030176049","https://openalex.org/W2039715928","https://openalex.org/W2045021643","https://openalex.org/W2061008127","https://openalex.org/W2072146296","https://openalex.org/W2091617071","https://openalex.org/W2100072100","https://openalex.org/W2107376953","https://openalex.org/W2111903871","https://openalex.org/W2113622694","https://openalex.org/W2118872830","https://openalex.org/W2119450027","https://openalex.org/W2156435819","https://openalex.org/W2161374369","https://openalex.org/W2169126686","https://openalex.org/W2188824969","https://openalex.org/W2313059505","https://openalex.org/W2399074384","https://openalex.org/W2539864613","https://openalex.org/W2586457337","https://openalex.org/W2602899946","https://openalex.org/W2734809623","https://openalex.org/W2754132388","https://openalex.org/W2756533518","https://openalex.org/W2770803034","https://openalex.org/W2914917809","https://openalex.org/W2936950132","https://openalex.org/W2945710797","https://openalex.org/W2946632095","https://openalex.org/W2956861044","https://openalex.org/W2963574945","https://openalex.org/W2996845247","https://openalex.org/W3098134057","https://openalex.org/W3124170611","https://openalex.org/W3126350755","https://openalex.org/W3130501718","https://openalex.org/W3135697104","https://openalex.org/W3175316802","https://openalex.org/W3203937812","https://openalex.org/W3204455340","https://openalex.org/W4205843087","https://openalex.org/W4213251304","https://openalex.org/W4241653265","https://openalex.org/W4241996101","https://openalex.org/W4250589301","https://openalex.org/W4312397590","https://openalex.org/W4380905949","https://openalex.org/W4383337465"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"This":[0,34,112],"paper":[1],"considers":[2],"the":[3,17,25,43,47,71,78,93,129,152,159,163,171,197,200,231,238,241,250],"problem":[4,26,41,66,84],"of":[5,19,27,49,73,107,134,143,161,168,199,233,240],"locating":[6],"a":[7,37,63,82,100,108,120,148,212],"target":[8,183],"in":[9,123,132,182,211,249],"2D":[10],"from":[11,52,67],"range":[12],"measurements":[13],"containing":[14],"outliers.":[15,33],"Assuming":[16],"number":[18,232],"outliers":[20,234],"is":[21,77,114,191,225,235,243],"known,":[22],"we":[23,56,96,146,157],"formulate":[24],"minimizing":[28],"inlier":[29],"losses":[30],"while":[31],"ignoring":[32],"leads":[35],"to":[36,119,127,166,227],"combinatorial,":[38],"non-convex,":[39],"non-smooth":[40],"involving":[42],"percentile":[44,110],"function.":[45],"Using":[46,140],"framework":[48],"risk":[50,88],"analysis":[51,89],"Rockafellar":[53],"et":[54],"al.,":[55],"start":[57,97],"by":[58,98,203],"interpreting":[59],"this":[60,76],"formulation":[61],"as":[62],"Value-at-Risk":[64],"(VaR)":[65],"portfolio":[68],"optimization.":[69],"To":[70,91],"best":[72,201],"our":[74,177,189,223],"knowledge,":[75],"first":[79],"time":[80],"that":[81,103,167,188],"localization":[83,121],"was":[85],"formulated":[86],"using":[87],"theory.":[90],"solve":[92],"VaR":[94,164],"formulation,":[95],"constructing":[99],"majorizer":[101,173],"set":[102,131],"contains":[104],"any":[105],"solution":[106,130],"general":[109],"problem.":[111,155],"construction":[113],"useful":[115],"because,":[116],"when":[117,230],"applied":[118],"scenario":[122],"2D,":[124],"it":[125],"allows":[126],"majorize":[128],"terms":[133],"singletons,":[135],"circumferences,":[136],"ellipses":[137],"and":[138,237],"hyperbolas.":[139],"known":[141],"parametrizations":[142],"these":[144],"curves,":[145],"propose":[147],"grid":[149],"method":[150,190],"for":[151],"original":[153],"non-convex":[154],"So":[156],"reduce":[158],"task":[160],"optimizing":[162],"objective":[165],"efficiently":[169],"sampling":[170],"proposed":[172],"set.":[174],"We":[175],"compare":[176],"algorithm":[178],"with":[179],"several":[180],"benchmarks":[181,202],"localization.":[184],"Numerical":[185],"simulations":[186],"show":[187],"fast":[192],"while,":[193],"on":[194],"average,":[195],"improving":[196],"accuracy":[198],"at":[204],"least":[205],"<inline-formula":[206,213,251],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207,214,218,252,256],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[208,215,219,253,257],"notation=\"LaTeX\">$100$</tex-math></inline-formula>":[209],"m":[210],"notation=\"LaTeX\">$1$</tex-math></inline-formula>":[216,254],"Km<inline-formula":[217,255],"notation=\"LaTeX\">${}^{2}$</tex-math></inline-formula>":[220,258],"area.":[221,259],"Furthermore,":[222],"approach":[224],"shown":[226],"be":[228],"robust":[229],"over-estimated":[236],"position":[239],"anchors":[242],"either":[244],"fixed":[245],"or":[246],"sampled":[247],"uniformly":[248]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}