{"id":"https://openalex.org/W2075351054","doi":"https://doi.org/10.1109/acssc.2014.7094682","title":"Exploring upper bounds on the number of distinguishable classes","display_name":"Exploring upper bounds on the number of distinguishable classes","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2075351054","doi":"https://doi.org/10.1109/acssc.2014.7094682","mag":"2075351054"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2014.7094682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094682","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","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/A5110078421","display_name":"C.M. Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]},{"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":"Catherine M. Keller","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, MA","MIT LINCOLN LABORATORY, 244 WOOD STREET, LEXINGTON,MA 02420"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT LINCOLN LABORATORY, 244 WOOD STREET, LEXINGTON,MA 02420","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086718580","display_name":"Gary H. Whipple","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100297","display_name":"Institute for Telecommunication Sciences","ror":"https://ror.org/00mj5bc69","country_code":"US","type":"government","lineage":["https://openalex.org/I1343035065","https://openalex.org/I4210100297","https://openalex.org/I4387155216"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary H. Whipple","raw_affiliation_strings":["Laboratory for Telecommunication Sciences, College Park, MD","Laboratory for Telecommunication Sciences, 8080 Greenmead Drive, College Park, MD 20740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Telecommunication Sciences, College Park, MD","institution_ids":["https://openalex.org/I4210100297"]},{"raw_affiliation_string":"Laboratory for Telecommunication Sciences, 8080 Greenmead Drive, College Park, MD 20740","institution_ids":["https://openalex.org/I4210100297"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07998172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1358","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9939000010490417,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9939000010490417,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.8368892669677734},{"id":"https://openalex.org/keywords/fano-plane","display_name":"Fano plane","score":0.6056368350982666},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5563772320747375},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5380145907402039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49095800518989563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4716704785823822},{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.4158511459827423},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3565593361854553},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33173447847366333},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3270565867424011},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.06217530369758606}],"concepts":[{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.8368892669677734},{"id":"https://openalex.org/C39757861","wikidata":"https://www.wikidata.org/wiki/Q1395814","display_name":"Fano plane","level":2,"score":0.6056368350982666},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5563772320747375},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5380145907402039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49095800518989563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4716704785823822},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.4158511459827423},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3565593361854553},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33173447847366333},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3270565867424011},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.06217530369758606},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2014.7094682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094682","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1506809288","https://openalex.org/W1557428261","https://openalex.org/W1602784754","https://openalex.org/W1965324089","https://openalex.org/W2015124310","https://openalex.org/W2031176453","https://openalex.org/W2120686080","https://openalex.org/W2146461393","https://openalex.org/W6630322375","https://openalex.org/W6641780247","https://openalex.org/W6750171640"],"related_works":["https://openalex.org/W3099350329","https://openalex.org/W2058946153","https://openalex.org/W2946896591","https://openalex.org/W2963703456","https://openalex.org/W3104172107","https://openalex.org/W2915383481","https://openalex.org/W3103556252","https://openalex.org/W2078872763","https://openalex.org/W3178834755","https://openalex.org/W4237710763"],"abstract_inverted_index":{"Information":[0],"theoretic":[1],"upper":[2,31,103],"bounds":[3,32],"on":[4],"the":[5,27,34,42,45,98,101,106,120],"number":[6,46,107],"of":[7,12,21,29,47,49,58,66,80,85,100,108,114],"distinguishable":[8,90,109],"classes":[9,110],"enable":[10],"assessments":[11],"feasibility":[13],"when":[14],"applying":[15],"classification":[16],"techniques":[17],"[1][2].":[18],"A":[19],"goal":[20],"this":[22],"paper":[23],"is":[24],"to":[25,60,118],"examine":[26,97],"behavior":[28,99],"these":[30],"as":[33,111],"items":[35,62],"being":[36],"classified":[37],"become":[38],"more":[39,89],"complex":[40],"in":[41],"sense":[43],"that":[44],"degrees":[48],"freedom":[50],"increases.":[51],"We":[52,96],"synthesize":[53],"filters":[54,81,92],"with":[55,63,82,93],"different":[56,78],"numbers":[57,84],"stages":[59],"represent":[61],"various":[64],"levels":[65],"complexity.":[67],"Using":[68],"a":[69,112],"typical":[70],"distribution":[71],"for":[72,105],"component":[73],"tolerances,":[74],"we":[75],"study":[76],"whether":[77],"instantiations":[79],"greater":[83],"components":[86],"(stages)":[87],"are":[88],"than":[91],"fewer":[94],"components.":[95],"Fano":[102],"bound":[104],"function":[113],"signal-to-noise":[115],"ratio":[116],"(SNR),":[117],"make":[119],"comparisons.":[121]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
