{"id":"https://openalex.org/W2509328108","doi":"https://doi.org/10.1109/icip.2016.7533088","title":"A multi-phase sparse probability framework via entropy minimization for single sample face recognition","display_name":"A multi-phase sparse probability framework via entropy minimization for single sample face recognition","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509328108","doi":"https://doi.org/10.1109/icip.2016.7533088","mag":"2509328108"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100371024","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-8746-9845"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Liu","raw_affiliation_strings":["College of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055295169","display_name":"Yan Song","orcid":"https://orcid.org/0000-0001-8431-7037"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Song","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["College of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005047757","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0002-2175-9943"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["College of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100371024"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.1733,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56628649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"3887","last_page":"3891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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/T11448","display_name":"Face recognition and analysis","score":0.988099992275238,"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/sparse-approximation","display_name":"Sparse approximation","score":0.665546178817749},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5988809466362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914506316184998},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5881228446960449},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5627744793891907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5370709896087646},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5318377017974854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5296354293823242},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5132317543029785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35091453790664673},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33995580673217773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3384511470794678},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.30396580696105957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09235891699790955}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.665546178817749},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5988809466362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914506316184998},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5881228446960449},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5627744793891907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5370709896087646},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5318377017974854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296354293823242},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5132317543029785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35091453790664673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33995580673217773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3384511470794678},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30396580696105957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09235891699790955},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":25,"referenced_works":["https://openalex.org/W1461711402","https://openalex.org/W1509928947","https://openalex.org/W1782590233","https://openalex.org/W1982851590","https://openalex.org/W2038165640","https://openalex.org/W2040925620","https://openalex.org/W2041404167","https://openalex.org/W2053186076","https://openalex.org/W2062019416","https://openalex.org/W2092131162","https://openalex.org/W2099222222","https://openalex.org/W2100240926","https://openalex.org/W2108767394","https://openalex.org/W2117553576","https://openalex.org/W2120100419","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2129846893","https://openalex.org/W2132467081","https://openalex.org/W2156404139","https://openalex.org/W2978725006","https://openalex.org/W2994340921","https://openalex.org/W4236803189","https://openalex.org/W6635552349"],"related_works":["https://openalex.org/W2130187411","https://openalex.org/W2387058352","https://openalex.org/W2004814108","https://openalex.org/W3151522584","https://openalex.org/W2890544631","https://openalex.org/W2016015572","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2912726270","https://openalex.org/W2350826920"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,43,62,85,100],"propose":[4,86,102],"a":[5,51,103,118],"robust":[6],"probability":[7,47,54,60],"based":[8,73],"sparse":[9,30,35,45,53],"method":[10],"to":[11,96,109,140,148],"solve":[12,110],"single":[13],"sample":[14],"face":[15,65],"recognition,":[16],"which":[17,115],"harvests":[18],"the":[19,75,111,123],"advantages":[20],"of":[21,78],"both":[22],"local":[23,69,87],"and":[24,71,152],"global":[25,124],"representation.":[26],"Different":[27],"from":[28,122],"previous":[29],"representation":[31],"methods":[32,94],"that":[33,90,133],"generate":[34],"coefficients":[36],"by":[37,49],"l":[38],"<sub":[39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[41],",":[42],"produce":[44],"class":[46,59,106],"distribution":[48],"proposing":[50],"multi-phase":[52],"(MSP)":[55],"framework.":[56],"To":[57],"create":[58],"distribution,":[61],"divide":[63],"each":[64,83],"image":[66],"into":[67],"many":[68,92],"blocks":[70],"vote":[72],"on":[74,128],"classification":[76,120],"results":[77,127],"all":[79],"blocks.":[80],"For":[81],"classifying":[82],"block,":[84],"similarity":[88],"assumption":[89],"makes":[91],"conventional":[93],"feasible":[95],"SSPP":[97,141],"problem.":[98],"Moreover,":[99],"also":[101,144],"heuristic":[104],"multiphase":[105],"selection":[107],"scheme":[108],"entropy":[112],"minimization":[113],"problem,":[114],"finally":[116],"provides":[117],"higher":[119],"confidence":[121],"perspective.":[125],"Experimental":[126],"three":[129],"popular":[130],"databases":[131],"show":[132],"our":[134],"approach":[135],"not":[136],"only":[137],"generalizes":[138],"well":[139],"problem":[142],"but":[143],"has":[145],"strong":[146],"robustness":[147],"expression,":[149],"illumination,":[150],"occlusion":[151],"time":[153],"variation.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
