{"id":"https://openalex.org/W2527855447","doi":"https://doi.org/10.1109/apcc.2016.7581449","title":"Squared distance matrix completion through Nystrom approximation","display_name":"Squared distance matrix completion through Nystrom approximation","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2527855447","doi":"https://doi.org/10.1109/apcc.2016.7581449","mag":"2527855447"},"language":"en","primary_location":{"id":"doi:10.1109/apcc.2016.7581449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2016.7581449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd Asia-Pacific Conference on Communications (APCC)","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/A5101950250","display_name":"Hesham Ibrahim Ahmed","orcid":"https://orcid.org/0000-0002-6340-6628"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hesham Ibrahim Ahmed","raw_affiliation_strings":["University of electronic Science and Technology of China, School of communication and information engineering, Chengdu, Sichuan, China P.R"],"affiliations":[{"raw_affiliation_string":"University of electronic Science and Technology of China, School of communication and information engineering, Chengdu, Sichuan, China P.R","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026335787","display_name":"Qun Wan","orcid":"https://orcid.org/0000-0002-6607-5422"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan Qun","raw_affiliation_strings":["University of electronic Science and Technology of China, School of communication and information engineering, Chengdu, Sichuan, China P.R"],"affiliations":[{"raw_affiliation_string":"University of electronic Science and Technology of China, School of communication and information engineering, Chengdu, Sichuan, China P.R","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112208579","display_name":"Ding Xue-ke","orcid":null},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Xue-ke","raw_affiliation_strings":["Tongfang Electronic Science and Technology co., ltd, Jiujiang, Jiangxi, China P.R"],"affiliations":[{"raw_affiliation_string":"Tongfang Electronic Science and Technology co., ltd, Jiujiang, Jiangxi, China P.R","institution_ids":["https://openalex.org/I134626604"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021779354","display_name":"Zhiping Zhou","orcid":"https://orcid.org/0000-0002-0996-0695"},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhi-ping","raw_affiliation_strings":["Tongfang Electronic Science and Technology co., ltd, Jiujiang, Jiangxi, China P.R"],"affiliations":[{"raw_affiliation_string":"Tongfang Electronic Science and Technology co., ltd, Jiujiang, Jiangxi, China P.R","institution_ids":["https://openalex.org/I134626604"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101950250"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09729004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9984999895095825,"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/matrix-completion","display_name":"Matrix completion","score":0.6507819890975952},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5990087389945984},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5822198987007141},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5596202611923218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5382738709449768},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47338762879371643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46433886885643005},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.45560377836227417},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.4549829363822937},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43848320841789246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4367956519126892},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42267730832099915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29479098320007324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20565959811210632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09718868136405945}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6507819890975952},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5990087389945984},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5822198987007141},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5596202611923218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5382738709449768},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47338762879371643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46433886885643005},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.45560377836227417},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.4549829363822937},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43848320841789246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4367956519126892},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42267730832099915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29479098320007324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20565959811210632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09718868136405945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apcc.2016.7581449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2016.7581449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd Asia-Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W51669927","https://openalex.org/W1526409401","https://openalex.org/W1531774733","https://openalex.org/W1718471162","https://openalex.org/W2121034851","https://openalex.org/W2147266701","https://openalex.org/W2312949700","https://openalex.org/W2611328865"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4241372895","https://openalex.org/W3152273675"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,29,42,61,74],"completion":[4,15],"of":[5,26,63],"missing":[6,21,64],"measurements":[7],"in":[8,33,46,55],"a":[9,34,47],"squared":[10],"distances":[11],"matrix":[12],"through":[13],"Nystrom":[14,38],"algorithm":[16,39],"has":[17,40],"been":[18],"investigated.":[19],"This":[20],"occurred":[22],"due":[23],"to":[24,52],"limitation":[25],"power":[27],"when":[28],"sensors":[30],"are":[31],"deployed":[32],"large":[35],"area.":[36],"The":[37,67],"overcome":[41],"classical":[43],"multidimensional":[44],"scaling":[45],"low":[48],"and":[49],"moderate":[50],"signal":[51],"noise":[53],"ratio,":[54],"addition":[56],"it":[57],"performs":[58],"well":[59],"as":[60],"number":[62],"entries":[65],"increase.":[66],"plotted":[68],"figures":[69],"show":[70],"admissible":[71],"consequences":[72],"for":[73],"proposed":[75],"algorithm.":[76]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}