{"id":"https://openalex.org/W1648163154","doi":"https://doi.org/10.1109/isit.2015.7282873","title":"Information recovery from pairwise measurements: A shannon-theoretic approach","display_name":"Information recovery from pairwise measurements: A shannon-theoretic approach","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1648163154","doi":"https://doi.org/10.1109/isit.2015.7282873","mag":"1648163154"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","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/A5100416078","display_name":"Yuxin Chen","orcid":"https://orcid.org/0000-0001-9256-5815"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuxin Chen","raw_affiliation_strings":["Statistics, Stanford University","Statistics, Stanford University, USA"],"affiliations":[{"raw_affiliation_string":"Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Statistics, Stanford University, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003738785","display_name":"Changho Suh","orcid":"https://orcid.org/0000-0002-3101-4291"},"institutions":[{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Changho Suh","raw_affiliation_strings":["EE, KAIST","EE, KAIST, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"EE, KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]},{"raw_affiliation_string":"EE, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074116801","display_name":"Andrea Goldsmith","orcid":"https://orcid.org/0000-0001-5686-800X"},"institutions":[{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Andrea J. Goldsmith","raw_affiliation_strings":["EE, KAIST","EE, Stanford, USA"],"affiliations":[{"raw_affiliation_string":"EE, KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]},{"raw_affiliation_string":"EE, Stanford, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100416078"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.7756,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86080804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"2336","last_page":"2340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9972000122070312,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.604326605796814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5240507125854492},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4935649633407593},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46110162138938904},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.4415126442909241},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43308985233306885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3860539197921753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35601428151130676},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3392433524131775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3339173495769501},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30902475118637085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28237688541412354},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07319539785385132},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07008561491966248}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.604326605796814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5240507125854492},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4935649633407593},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46110162138938904},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.4415126442909241},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43308985233306885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3860539197921753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35601428151130676},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3392433524131775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3339173495769501},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30902475118637085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28237688541412354},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07319539785385132},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07008561491966248},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2015.7282873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W630423399","https://openalex.org/W1511694993","https://openalex.org/W1526841711","https://openalex.org/W1595409123","https://openalex.org/W1648163154","https://openalex.org/W1706338097","https://openalex.org/W1737288045","https://openalex.org/W1803708361","https://openalex.org/W1866515447","https://openalex.org/W1890589357","https://openalex.org/W1989151402","https://openalex.org/W1993336109","https://openalex.org/W2000157792","https://openalex.org/W2009441527","https://openalex.org/W2026653933","https://openalex.org/W2057198330","https://openalex.org/W2058017216","https://openalex.org/W2059120410","https://openalex.org/W2078645667","https://openalex.org/W2101210333","https://openalex.org/W2102823806","https://openalex.org/W2110772696","https://openalex.org/W2122882636","https://openalex.org/W2124123435","https://openalex.org/W2127048411","https://openalex.org/W2131940723","https://openalex.org/W2143133882","https://openalex.org/W2144792840","https://openalex.org/W2145061105","https://openalex.org/W2145962650","https://openalex.org/W2147554450","https://openalex.org/W2151975094","https://openalex.org/W2159902206","https://openalex.org/W2399597738","https://openalex.org/W2519716980","https://openalex.org/W2567866584","https://openalex.org/W2614891641","https://openalex.org/W2887748675","https://openalex.org/W2912391240","https://openalex.org/W2962984655","https://openalex.org/W2963264680","https://openalex.org/W2963537367","https://openalex.org/W2963655172","https://openalex.org/W2963952519","https://openalex.org/W2964292545","https://openalex.org/W3100598149","https://openalex.org/W3102641634","https://openalex.org/W4230202445","https://openalex.org/W4230371388","https://openalex.org/W6633699159","https://openalex.org/W6638936255","https://openalex.org/W6640104674","https://openalex.org/W6684696808","https://openalex.org/W6712310384"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"This":[0,42],"paper":[1],"is":[2,43,64],"concerned":[3],"with":[4,48,93],"jointly":[5],"recovering":[6],"n":[7],"node-variables":[8],"{x":[9],"<sub":[10,15,32,37,56,61],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[11,16,33,38,57,62],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[12],",...,":[13],"x":[14,31,36,55,60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sub>":[17],"}":[18],"from":[19],"a":[20,46,81,89,109,114,117,141,154,163],"collection":[21],"of":[22,30,77,91,143,166,189],"pairwise":[23],"difference":[24],"measurements.":[25],"Specifically,":[26],"several":[27],"noisy":[28,75],"measurements":[29,87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</sub>":[34,58],"-":[35,59],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">j</sub>":[39,63],"are":[40,174],"acquired.":[41],"represented":[44],"by":[45,88],"graph":[47,127,186,192],"an":[49],"edge":[50],"set":[51,90],"\u03b5":[52],"such":[53],"that":[54],"observed":[65],"only":[66,183],"if":[67],"(i,":[68],"j)":[69],"\u2208":[70],"\u03b5.":[71],"To":[72],"accommodate":[73],"the":[74,86,103,148,159,169,185,195],"nature":[76],"data":[78],"acquisition":[79],"in":[80,157],"general":[82,126],"way,":[83],"we":[84,107,137,172],"model":[85],"channels":[92],"given":[94],"input/output":[95],"transition":[96,133,150],"measures.":[97,134],"Using":[98],"information-theoretic":[99],"tools":[100],"applied":[101],"to":[102,112,177],"channel":[104,132,149],"decoding":[105],"problem,":[106],"develop":[108],"unified":[110],"framework":[111],"characterize":[113],"sufficient":[115],"and":[116,131,139],"necessary":[118],"condition":[119],"for":[120],"exact":[121],"information":[122],"recovery,":[123],"which":[124,152,181],"accommodates":[125],"structures,":[128],"alphabet":[129],"sizes,":[130],"In":[135],"particular,":[136],"isolate":[138],"highlight":[140],"family":[142],"minimum":[144],"distance":[145],"measures":[146],"underlying":[147],"probabilities,":[151],"plays":[153],"central":[155],"role":[156],"determining":[158],"recovery":[160,170],"limits.":[161],"For":[162],"broad":[164],"class":[165],"homogeneous":[167],"graphs,":[168],"conditions":[171],"derive":[173],"tight":[175],"up":[176],"some":[178],"explicit":[179],"constant,":[180],"depend":[182],"on":[184],"sparsity":[187],"irrespective":[188],"other":[190],"second-order":[191],"metrics":[193],"like":[194],"spectral":[196],"gap.":[197]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}