{"id":"https://openalex.org/W2559555576","doi":"https://doi.org/10.1109/cec.2016.7744329","title":"Sparse representation classification based on difference subspace","display_name":"Sparse representation classification based on difference subspace","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2559555576","doi":"https://doi.org/10.1109/cec.2016.7744329","mag":"2559555576"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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/A5037290686","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0001-7740-292X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971098","display_name":"Qingxiang Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiang Feng","raw_affiliation_strings":["Shenzhen Graduate School Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093956","display_name":"Jiashuang Huang","orcid":"https://orcid.org/0000-0002-6204-9569"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuang Huang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079516265","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0001-5676-0656"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037290686"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13247856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"4244","last_page":"4249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9940000176429749,"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/T10828","display_name":"Biometric Identification and Security","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/subspace-topology","display_name":"Subspace topology","score":0.847753643989563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7571408748626709},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7226055860519409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7056652307510376},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6980957388877869},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6698298454284668},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6637896299362183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6284503936767578},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6262530088424683},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.507581353187561},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43249496817588806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35848814249038696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.140419602394104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11717802286148071}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.847753643989563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7571408748626709},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7226055860519409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7056652307510376},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6980957388877869},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6698298454284668},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6637896299362183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284503936767578},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6262530088424683},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.507581353187561},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43249496817588806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35848814249038696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.140419602394104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11717802286148071},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/cec.2016.7744329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1975660996","https://openalex.org/W1983008863","https://openalex.org/W1997011019","https://openalex.org/W1999032214","https://openalex.org/W2028878677","https://openalex.org/W2032768707","https://openalex.org/W2052800689","https://openalex.org/W2053186076","https://openalex.org/W2079666190","https://openalex.org/W2089035607","https://openalex.org/W2093402979","https://openalex.org/W2097486709","https://openalex.org/W2111146558","https://openalex.org/W2116019577","https://openalex.org/W2120552947","https://openalex.org/W2124653156","https://openalex.org/W2129812935","https://openalex.org/W2141607429","https://openalex.org/W2167999447","https://openalex.org/W2171188027","https://openalex.org/W2240559667","https://openalex.org/W2624303627","https://openalex.org/W6663996602","https://openalex.org/W6685188343","https://openalex.org/W6739465860"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W2076845124","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2912726270"],"abstract_inverted_index":{"Sparse":[0],"representation":[1,28,131],"based":[2,105,116],"classification":[3,77],"has":[4],"attracted":[5],"much":[6],"attention":[7],"due":[8],"to":[9,61,74,82],"its":[10,43],"robustness":[11],"in":[12],"the":[13,26,31,38,57,62,66,72,76,84,95,123,126,130,134,139,145],"fields":[14],"of":[15,46,79,87],"biometrics,":[16],"such":[17],"as":[18,56],"face":[19,109,152],"recognition,":[20],"palm-print":[21],"recognition.":[22,110,153],"SRC":[23,80,106,117],"first":[24],"constructs":[25],"linear":[27],"model":[29],"for":[30,108,125,133,151],"test":[32,39],"sample,":[33],"and":[34,101],"then":[35],"it":[36],"classifies":[37],"sample":[40,60],"by":[41,65],"comparing":[42],"coding":[44,50],"error":[45,51],"each":[47],"class.":[48,70],"The":[49],"essentially":[52],"can":[53],"be":[54],"viewed":[55],"distance":[58],"from":[59,68,112],"subspace":[63,85,97,104],"spanned":[64],"samples":[67],"specific":[69],"Therefore,":[71],"key":[73],"improve":[75],"performance":[78],"is":[81,149],"enhance":[83],"separability":[86],"these":[88],"subspaces.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"introduce":[94],"difference":[96,103],"analysis":[98],"into":[99],"SRC,":[100],"propose":[102],"(DSSRC)":[107],"Different":[111],"traditional":[113],"dictionary":[114],"learning":[115],"methods,":[118],"DSSRC":[119,147],"focuses":[120],"on":[121,138],"maximizing":[122],"discriminability":[124],"classes":[127],"rather":[128],"than":[129],"ability":[132],"samples.":[135],"Extensive":[136],"experiments":[137],"well-known":[140],"image":[141],"datasets":[142],"demonstrate":[143],"that":[144],"proposed":[146],"method":[148],"effective":[150]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}