{"id":"https://openalex.org/W1927284174","doi":"https://doi.org/10.1109/tsp.2015.2472370","title":"Importance-Weighted Adaptive Search for Multi-Class Targets","display_name":"Importance-Weighted Adaptive Search for Multi-Class Targets","publication_year":2015,"publication_date":"2015-08-24","ids":{"openalex":"https://openalex.org/W1927284174","doi":"https://doi.org/10.1109/tsp.2015.2472370","mag":"1927284174"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2472370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2472370","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/A5086104485","display_name":"Gregory E. Newstadt","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gregory E. Newstadt","raw_affiliation_strings":["Google Pittsburgh, Pittsburgh, PA","University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"Google Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012917763","display_name":"Beipeng Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I46020346","display_name":"American Institute of Aeronautics and Astronautics","ror":"https://ror.org/00a1rzv11","country_code":"US","type":"other","lineage":["https://openalex.org/I46020346"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beipeng Mu","raw_affiliation_strings":["Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I46020346","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103053820","display_name":"Dennis Wei","orcid":"https://orcid.org/0000-0002-6510-1537"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennis Wei","raw_affiliation_strings":["Thomas J. Watson Research Center, IBM Research, NY"],"affiliations":[{"raw_affiliation_string":"Thomas J. Watson Research Center, IBM Research, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011665886","display_name":"Jonathan P. How","orcid":"https://orcid.org/0000-0001-8576-1930"},"institutions":[{"id":"https://openalex.org/I46020346","display_name":"American Institute of Aeronautics and Astronautics","ror":"https://ror.org/00a1rzv11","country_code":"US","type":"other","lineage":["https://openalex.org/I46020346"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan P. How","raw_affiliation_strings":["Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I46020346","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692655","display_name":"Alfred O. Hero","orcid":"https://orcid.org/0000-0002-2531-9670"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfred O. Hero","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086104485"],"corresponding_institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04190503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":"23","first_page":"6299","last_page":"6314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/oracle","display_name":"Oracle","score":0.7103797197341919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641892194747925},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6428665518760681},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5544353723526001},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5140001177787781},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5028738379478455},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.47537317872047424},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4462147355079651},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4254702627658844},{"id":"https://openalex.org/keywords/adaptive-strategies","display_name":"Adaptive strategies","score":0.41866257786750793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36569976806640625},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.34622371196746826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22972938418388367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19997906684875488},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11977627873420715}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.7103797197341919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641892194747925},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6428665518760681},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5544353723526001},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5140001177787781},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5028738379478455},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.47537317872047424},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4462147355079651},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4254702627658844},{"id":"https://openalex.org/C167393769","wikidata":"https://www.wikidata.org/wiki/Q4680768","display_name":"Adaptive strategies","level":2,"score":0.41866257786750793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36569976806640625},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.34622371196746826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22972938418388367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19997906684875488},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11977627873420715},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2015.2472370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2472370","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":[{"id":"https://openalex.org/G932903589","display_name":null,"funder_award_id":"W911NF-11-1-0391","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1983171048","https://openalex.org/W2034027609","https://openalex.org/W2037044380","https://openalex.org/W2047670593","https://openalex.org/W2087326866","https://openalex.org/W2103012681","https://openalex.org/W2115525675","https://openalex.org/W2115755549","https://openalex.org/W2121835854","https://openalex.org/W2127327184","https://openalex.org/W2137103667","https://openalex.org/W2138467064","https://openalex.org/W2156540265","https://openalex.org/W2160828669","https://openalex.org/W2168831133","https://openalex.org/W2571049156","https://openalex.org/W2963852296","https://openalex.org/W4233413206","https://openalex.org/W4297573987","https://openalex.org/W6662260690","https://openalex.org/W7073710283","https://openalex.org/W7075602339"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2125620709","https://openalex.org/W2110441383","https://openalex.org/W1498872724","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W2154492750","https://openalex.org/W2750920645"],"abstract_inverted_index":{"In":[0],"sparse":[1,64],"target":[2,106,121],"inference":[3],"problems,":[4],"it":[5],"has":[6,100],"been":[7],"shown":[8,231],"that":[9,128,221,237],"significant":[10],"gains":[11],"can":[12,183,199,211],"be":[13],"achieved":[14],"by":[15,83],"adaptive":[16,27,115,180,208],"sensing":[17,28,116],"using":[18],"convex":[19],"criteria.":[20],"We":[21],"generalize":[22],"this":[23],"previous":[24,150],"work":[25],"on":[26,74,149],"to:":[29],"a)":[30],"include":[31],"multiple":[32,44],"classes":[33],"of":[34,39,66,77,104,114,120,154,172,187,218,225],"targets":[35,67],"with":[36,169],"different":[37,170,185],"levels":[38,171],"importance":[40],"and":[41,61,95,123,161,206,227],"b)":[42],"accommodate":[43],"sensor":[45,175],"models.":[46],"Optimization":[47],"policies":[48,80,131,147,151],"are":[49,81,177,230],"developed":[50],"to":[51,57,134,189,215,232,235],"allocate":[52,184,200,212],"a":[53,63,70,85,101,118,216,223],"limited":[54],"resource":[55,188],"budget":[56],"simultaneously":[58],"locate,":[59],"classify":[60],"estimate":[62],"number":[65],"embedded":[68],"in":[69,152,192],"large":[71],"space.":[72],"Bounds":[73],"the":[75,78,93,105,111,129,135,145,193,204],"performance":[76],"proposed":[79,130,146],"derived":[82],"analyzing":[84],"baseline":[86],"policy,":[87],"which":[88,99,182,198,210],"allocates":[89],"resources":[90,201],"uniformly":[91,202],"across":[92,203],"scene,":[94],"an":[96],"oracle":[97,136],"policy":[98],"priori":[102],"knowledge":[103],"locations/classes.":[107],"These":[108],"bounds":[109],"quantify":[110],"potential":[112],"benefit":[113],"as":[117],"function":[119],"frequency":[122],"importance.":[124],"Numerical":[125],"results":[126],"indicate":[127],"perform":[132,233],"close":[133],"bound":[137],"when":[138],"signal":[139],"quality":[140],"is":[141],"sufficiently":[142],"high.":[143],"Moreover,":[144],"improve":[148],"terms":[153],"reducing":[155,158],"estimation":[156],"error,":[157],"misclassification":[159],"probability,":[160],"increasing":[162],"expected":[163],"return.":[164],"To":[165],"account":[166],"for":[167],"sensors":[168,229,240],"agility,":[173],"three":[174],"models":[176],"considered:":[178],"global":[179,195],"(GA),":[181],"amounts":[186],"each":[190],"location":[191],"space;":[194],"uniform":[196],"(GU),":[197],"scene;":[205],"local":[207],"(LA),":[209],"fixed":[213],"units":[214],"subset":[217],"locations.":[219],"Policies":[220],"use":[222,238],"mixture":[224],"GU":[226],"LA":[228],"similarly":[234],"those":[236],"GA":[239],"while":[241],"being":[242],"more":[243],"easily":[244],"implementable.":[245]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
