{"id":"https://openalex.org/W3002889125","doi":"https://doi.org/10.1109/spac46244.2018.8965492","title":"Effective Distance based Low Rank Representation for Image Classification","display_name":"Effective Distance based Low Rank Representation for Image Classification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W3002889125","doi":"https://doi.org/10.1109/spac46244.2018.8965492","mag":"3002889125"},"language":"en","primary_location":{"id":"doi:10.1109/spac46244.2018.8965492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5012096827","display_name":"Tiwei Tao","orcid":"https://orcid.org/0000-0003-0607-170X"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]},{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ti-Wei Tao","raw_affiliation_strings":["Guilin University of Technology,Department of Information Science and Technology,Guilin,China","Department of Information Science and Technology, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guilin University of Technology,Department of Information Science and Technology,Guilin,China","institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I5343935","https://openalex.org/I38706770"]},{"raw_affiliation_string":"Department of Information Science and Technology, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103387133","display_name":"Deyun Yang","orcid":"https://orcid.org/0009-0003-1204-5468"},"institutions":[{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Yun Yang","raw_affiliation_strings":["Taishan University,Department of Information Science and Technology,Taian,China","Department of Information Science and Technology, Taishan University, Taian, China"],"affiliations":[{"raw_affiliation_string":"Taishan University,Department of Information Science and Technology,Taian,China","institution_ids":["https://openalex.org/I4210118050"]},{"raw_affiliation_string":"Department of Information Science and Technology, Taishan University, Taian, China","institution_ids":["https://openalex.org/I4210118050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348974","display_name":"Linlin Wang","orcid":"https://orcid.org/0000-0001-6328-7529"},"institutions":[{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin-Lin Wang","raw_affiliation_strings":["Taishan University,Department of Information Science and Technology,Taian,China","Department of Information Science and Technology, Taishan University, Taian, China"],"affiliations":[{"raw_affiliation_string":"Taishan University,Department of Information Science and Technology,Taian,China","institution_ids":["https://openalex.org/I4210118050"]},{"raw_affiliation_string":"Department of Information Science and Technology, Taishan University, Taian, China","institution_ids":["https://openalex.org/I4210118050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050560717","display_name":"Mingxia Liu","orcid":"https://orcid.org/0000-0002-0166-0807"},"institutions":[{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Xia Liu","raw_affiliation_strings":["Taishan University,Department of Information Science and Technology,Taian,China","Department of Information Science and Technology, Taishan University, Taian, China"],"affiliations":[{"raw_affiliation_string":"Taishan University,Department of Information Science and Technology,Taian,China","institution_ids":["https://openalex.org/I4210118050"]},{"raw_affiliation_string":"Department of Information Science and Technology, Taishan University, Taian, China","institution_ids":["https://openalex.org/I4210118050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012096827"],"corresponding_institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I38706770","https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2609068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"460","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6739333271980286},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6730221509933472},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.6708611845970154},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6540029048919678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500512361526489},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5644136071205139},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.523999810218811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077394247055054},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5008294582366943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48274773359298706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4540189504623413},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41002708673477173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3978756070137024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2741851210594177}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6739333271980286},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6730221509933472},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.6708611845970154},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6540029048919678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500512361526489},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5644136071205139},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.523999810218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077394247055054},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5008294582366943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48274773359298706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4540189504623413},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41002708673477173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3978756070137024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2741851210594177},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac46244.2018.8965492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":14,"referenced_works":["https://openalex.org/W1760407951","https://openalex.org/W1997201895","https://openalex.org/W2098318489","https://openalex.org/W2107799335","https://openalex.org/W2118120419","https://openalex.org/W2133442079","https://openalex.org/W2140245639","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2178585839","https://openalex.org/W2262946425","https://openalex.org/W2586870676","https://openalex.org/W6638022358","https://openalex.org/W6677677282"],"related_works":["https://openalex.org/W2129888254","https://openalex.org/W2115336194","https://openalex.org/W1563946824","https://openalex.org/W2809929944","https://openalex.org/W2571943156","https://openalex.org/W2908630341","https://openalex.org/W4294624291","https://openalex.org/W1982925424","https://openalex.org/W2902282441","https://openalex.org/W3111740253"],"abstract_inverted_index":{"Low-rank":[0],"representation":[1,79],"(LRR)":[2],"has":[3],"recently":[4],"attracted":[5],"a":[6,51],"great":[7],"deal":[8],"of":[9,36,43,65,92,127,135],"attention":[10],"due":[11],"to":[12,32],"its":[13],"pleasing":[14],"efficacy":[15],"in":[16,22,100,124],"exploring":[17],"low-dimensional":[18],"subspace":[19],"structures":[20],"embedded":[21],"data.":[23,44,66,104],"However,":[24],"conventional":[25],"LRR":[26,76],"methods":[27],"simply":[28],"use":[29],"Euclidean":[30],"distance":[31,54,74],"measure":[33],"the":[34,39,61,89,97,101,125,133,136],"similarity":[35],"samples,":[37],"ignoring":[38],"dynamic":[40,62,90],"structure":[41,63,91],"information":[42,64,99],"Meanwhile,":[45],"recent":[46],"studies":[47],"have":[48],"shown":[49],"that":[50],"probabilistically":[52],"motivated":[53],"measurement":[55],"(called":[56],"effective":[57,73],"distance)":[58],"can":[59,85],"model":[60],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"an":[72],"based":[75,115],"(EDLRR)method":[77],"for":[78],"learning.":[80],"The":[81],"proposed":[82],"EDLRR":[83],"method":[84,106,121],"not":[86],"only":[87],"represent":[88],"data,":[93],"but":[94],"also":[95],"capture":[96],"geometric":[98],"inherent":[102],"nonlinear":[103],"Our":[105],"mainly":[107],"uses":[108],"Effective":[109,113],"Distance":[110,114],"Computation":[111],"and":[112],"Low-Rank":[116],"Representation.":[117],"We":[118],"evaluate":[119],"our":[120],"on":[122],"datasets":[123],"task":[126],"image":[128],"classification,":[129],"with":[130],"results":[131],"demonstrating":[132],"effectiveness":[134],"method.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}