{"id":"https://openalex.org/W2109171827","doi":"https://doi.org/10.1145/2461381.2461387","title":"A fresh perspective","display_name":"A fresh perspective","publication_year":2013,"publication_date":"2013-04-08","ids":{"openalex":"https://openalex.org/W2109171827","doi":"https://doi.org/10.1145/2461381.2461387","mag":"2109171827"},"language":"en","primary_location":{"id":"doi:10.1145/2461381.2461387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461381.2461387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th international conference on Information processing in sensor networks","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/A5062817758","display_name":"Matthew Faulkner","orcid":"https://orcid.org/0000-0001-8172-2918"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew Faulkner","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064661240","display_name":"Annie H. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Annie H. Liu","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003040843","display_name":"Andreas Krause","orcid":"https://orcid.org/0000-0001-7260-9673"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andreas Krause","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062817758"],"corresponding_institution_ids":["https://openalex.org/I122411786"],"apc_list":null,"apc_paid":null,"fwci":1.9237,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88637113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9739999771118164,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9646000266075134,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5752492547035217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5027346611022949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18952855467796326}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5752492547035217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5027346611022949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18952855467796326}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2461381.2461387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461381.2461387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th international conference on Information processing in sensor networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W115185709","https://openalex.org/W146900863","https://openalex.org/W340056678","https://openalex.org/W1548802052","https://openalex.org/W1663388347","https://openalex.org/W1974490937","https://openalex.org/W1980431206","https://openalex.org/W1987854975","https://openalex.org/W2002151188","https://openalex.org/W2013627100","https://openalex.org/W2021272950","https://openalex.org/W2021302824","https://openalex.org/W2021904612","https://openalex.org/W2059359375","https://openalex.org/W2072157164","https://openalex.org/W2078204800","https://openalex.org/W2083772019","https://openalex.org/W2099997885","https://openalex.org/W2101012814","https://openalex.org/W2112274848","https://openalex.org/W2123659014","https://openalex.org/W2148580977","https://openalex.org/W2154721480","https://openalex.org/W2155209642","https://openalex.org/W2161401420","https://openalex.org/W2195922467","https://openalex.org/W2499382624","https://openalex.org/W2546765639","https://openalex.org/W2962686086","https://openalex.org/W3101471473","https://openalex.org/W3101533025","https://openalex.org/W4211083646","https://openalex.org/W4241492945","https://openalex.org/W4247571494","https://openalex.org/W6604683829","https://openalex.org/W6650744465","https://openalex.org/W6678151056","https://openalex.org/W6776634092"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2149537132","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W2382290278","https://openalex.org/W2478288626"],"abstract_inverted_index":{"Can":[0],"one":[1],"trade":[2],"sensor":[3,12],"quality":[4],"for":[5,45],"quantity?":[6],"While":[7],"larger":[8],"networks":[9,158],"with":[10,98,159],"greater":[11],"density":[13],"promise":[14],"to":[15,18,50,72],"allow":[16],"us":[17],"use":[19,139],"noisier":[20],"sensors":[21,69],"yet":[22],"measure":[23],"subtler":[24],"phenomena,":[25],"aggregating":[26],"data":[27],"and":[28,74,137,163],"designing":[29],"decision":[30],"rules":[31],"is":[32,59,77,110],"challenging.":[33],"Motivated":[34],"by":[35,53,79,121],"dense,":[36],"participatory":[37],"seismic":[38,157],"networks,":[39],"we":[40],"seek":[41],"efficient":[42],"aggregation":[43,52],"methods":[44],"event":[46,76],"detection.":[47],"We":[48,86,112],"propose":[49],"perform":[51],"sparsification:":[54],"roughly,":[55],"a":[56,60,81,89,123],"sparsifying":[57,93,125],"basis":[58,126],"linear":[61],"transformation":[62],"that":[63,70],"aggregates":[64],"measurements":[65,155],"from":[66,127,156],"groups":[67,83],"of":[68,84,92,140,149,161],"tend":[71],"co-activate,":[73],"each":[75],"observed":[78],"only":[80,104],"few":[82],"sensors.":[85],"show":[87],"how":[88,115],"simple":[90],"class":[91],"bases":[94],"provably":[95],"improves":[96],"detection":[97,116],"noisy":[99],"binary":[100],"sensors,":[101,162],"even":[102],"when":[103],"qualitative":[105],"information":[106],"about":[107],"the":[108,150,168],"network":[109,128],"available.":[111],"then":[113],"describe":[114],"can":[117,133],"be":[118,134],"further":[119],"improved":[120],"learning":[122],"better":[124],"observations":[129],"or":[130],"simulations.":[131],"Learning":[132],"done":[135],"offline,":[136],"makes":[138],"powerful":[141],"off-the-shelf":[142],"optimization":[143],"packages.":[144],"Our":[145],"approach":[146],"outperforms":[147],"state":[148],"art":[151],"detectors":[152],"on":[153,164],"real":[154],"hundreds":[160],"simulated":[165],"epidemics":[166],"in":[167],"Gnutella":[169],"P2P":[170],"communication":[171],"network.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}