{"id":"https://openalex.org/W1530159900","doi":"https://doi.org/10.1109/icassp.2015.7178683","title":"Downsampling for sparse subspace clustering","display_name":"Downsampling for sparse subspace clustering","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1530159900","doi":"https://doi.org/10.1109/icassp.2015.7178683","mag":"1530159900"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003224816","display_name":"Xianghui Mao","orcid":"https://orcid.org/0000-0003-3957-5197"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghui Mao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354377","display_name":"Xiaohan Wang","orcid":"https://orcid.org/0000-0001-6206-7911"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621681","display_name":"Yuantao Gu","orcid":"https://orcid.org/0000-0002-8427-1021"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuantao Gu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Microwave and Digital Communications,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54510832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"3806","last_page":"3810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9879000186920166,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/linear-subspace","display_name":"Linear subspace","score":0.8818872570991516},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8318006992340088},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6758583784103394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5802017450332642},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.576117217540741},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5227437019348145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45116475224494934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4243929088115692},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3550008535385132},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35364094376564026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3136976957321167}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8818872570991516},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8318006992340088},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6758583784103394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802017450332642},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.576117217540741},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5227437019348145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45116475224494934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4243929088115692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3550008535385132},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35364094376564026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3136976957321167},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2015.7178683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.2124","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.2124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gu.ee.tsinghua.edu.cn/index.php/component/attachments/download/66/","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W317642749","https://openalex.org/W1621653743","https://openalex.org/W1966148254","https://openalex.org/W1977196460","https://openalex.org/W2003194818","https://openalex.org/W2003217181","https://openalex.org/W2022240529","https://openalex.org/W2064631640","https://openalex.org/W2073227253","https://openalex.org/W2073256527","https://openalex.org/W2103943817","https://openalex.org/W2132914434","https://openalex.org/W2139054653","https://openalex.org/W2152461258","https://openalex.org/W2167077875","https://openalex.org/W2477432909","https://openalex.org/W2963605636","https://openalex.org/W2963753660","https://openalex.org/W3099880660","https://openalex.org/W3102566946","https://openalex.org/W3124617746","https://openalex.org/W3197657420","https://openalex.org/W4213157808","https://openalex.org/W6610971977","https://openalex.org/W6675666693"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"Sparse":[0],"subspace":[1],"clustering":[2,55],"(SSC)":[3],"is":[4,65,93],"a":[5,27,57,90,115],"technique":[6],"to":[7,12,48,95,106,124],"partition":[8],"unlabeled":[9],"samples":[10,75,97,110,118],"according":[11],"the":[13,19,32,36,50,72,83,86,99,107,117,128,134,137,144],"subspaces":[14,79,121],"they":[15],"locate":[16],"in.":[17],"With":[18],"rapid":[20],"increase":[21],"of":[22,38,60,74,85,109,136,146],"data":[23],"amount,":[24],"efficiently":[25],"downsampling":[26,63,91,129],"big":[28],"dataset,":[29],"while":[30,53],"at":[31],"same":[33],"time":[34],"keeping":[35],"structure":[37],"subspaces,":[39],"becomes":[40],"an":[41],"important":[42],"topic":[43],"for":[44],"SSC.":[45],"In":[46,70],"order":[47],"reduce":[49],"computational":[51],"cost":[52],"preserving":[54],"accuracy,":[56],"new":[58],"approach":[59],"SSC":[61],"with":[62,98],"(SSCD)":[64],"proposed":[66,138],"in":[67,77,103,111,119],"this":[68],"paper.":[69],"SSCD,":[71],"numbers":[73],"located":[76],"respective":[78,112],"are":[80,102,122],"estimated":[81],"utilizing":[82],"\u21131norm":[84],"sparse":[87],"representation.":[88],"Then":[89],"strategy":[92],"designed":[94],"decimate":[96],"probabilities":[100],"that":[101],"reverse":[104],"ratio":[105],"amounts":[108],"subspaces.":[113],"As":[114],"consequence,":[116],"different":[120],"expected":[123],"be":[125],"balanced":[126],"after":[127],"operation.":[130],"Theoretical":[131],"analysis":[132],"proves":[133],"correctness":[135],"strategy.":[139],"Numerical":[140],"simulations":[141],"also":[142],"verify":[143],"efficiency":[145],"SSCD.":[147]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}