{"id":"https://openalex.org/W2970202986","doi":"https://doi.org/10.1109/icip.2019.8803198","title":"Robust Sparse Learning Based on Kernel Non-Second Order Minimization","display_name":"Robust Sparse Learning Based on Kernel Non-Second Order Minimization","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970202986","doi":"https://doi.org/10.1109/icip.2019.8803198","mag":"2970202986"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/392523","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063479373","display_name":"Miaohua Zhang","orcid":"https://orcid.org/0000-0002-5281-7851"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Miaohua Zhang","raw_affiliation_strings":["Griffith University, Griffith, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University, Griffith, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["Griffith University, Griffith, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University, Griffith, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041589060","display_name":"Changming Sun","orcid":"https://orcid.org/0000-0001-5943-1989"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changming Sun","raw_affiliation_strings":["CSIRO, Marsfield, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO, Marsfield, NSW, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2045","last_page":"2049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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/outlier","display_name":"Outlier","score":0.7579110860824585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145153880119324},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7035888433456421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995014548301697},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6063830256462097},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5784105062484741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5695391297340393},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5516201853752136},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5267048478126526},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49953794479370117},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49534860253334045},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4743974208831787},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4361770749092102},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42557400465011597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37615418434143066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23940664529800415},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09395340085029602}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7579110860824585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145153880119324},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7035888433456421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995014548301697},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6063830256462097},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5784105062484741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5695391297340393},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5516201853752136},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5267048478126526},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49953794479370117},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49534860253334045},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4743974208831787},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4361770749092102},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42557400465011597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37615418434143066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23940664529800415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09395340085029602},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2019.8803198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/140996","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/140996","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/392523","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/392523","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/392523","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/392523","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W565868953","https://openalex.org/W1977774297","https://openalex.org/W1989702938","https://openalex.org/W1991870281","https://openalex.org/W1999174140","https://openalex.org/W2027610308","https://openalex.org/W2029634950","https://openalex.org/W2123921160","https://openalex.org/W2127031212","https://openalex.org/W2129812935","https://openalex.org/W2132902651","https://openalex.org/W2136860609","https://openalex.org/W2137823674","https://openalex.org/W2143642807","https://openalex.org/W2165218755","https://openalex.org/W2168638409","https://openalex.org/W2273827415","https://openalex.org/W2573822039","https://openalex.org/W4230367971","https://openalex.org/W4235713725","https://openalex.org/W4245456352","https://openalex.org/W6635552349"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2016015572","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2912726270"],"abstract_inverted_index":{"Partial":[0],"occlusions":[1],"in":[2,92],"face":[3,11],"images":[4],"pose":[5],"a":[6,27,50],"great":[7],"problem":[8],"for":[9,56],"most":[10,19],"recognition":[12,104],"algorithms":[13,22],"due":[14],"to":[15,60],"the":[16,40,71,74,77,89,112],"fact":[17],"that":[18,111],"of":[20,73],"these":[21],"mainly":[23],"focus":[24],"on":[25,106],"solving":[26],"second":[28],"order":[29,53,79],"loss":[30,54],"function,":[31],"e.g.,":[32],"mean":[33],"square":[34],"error":[35],"(MSE),":[36],"which":[37,68],"will":[38],"magnify":[39],"effect":[41],"from":[42,100],"occlusion":[43],"parts.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"proposed":[49,113],"kernel":[51],"non-second":[52,78],"function":[55],"sparse":[57],"representation":[58],"(KNS-SR)":[59],"recognize":[61],"or":[62],"restore":[63],"partially":[64],"occluded":[65],"facial":[66],"images,":[67],"both":[69],"take":[70],"advantages":[72],"correntropy":[75],"and":[76,94,103],"statistics":[80],"measurement.":[81],"The":[82],"resulted":[83],"framework":[84],"is":[85],"more":[86],"accurate":[87],"than":[88],"MSE-based":[90],"ones":[91],"locating":[93],"eliminating":[95],"outliers":[96],"information.":[97],"Experimental":[98],"results":[99],"image":[101],"reconstruction":[102],"tasks":[105],"publicly":[107],"available":[108],"databases":[109],"show":[110],"method":[114],"achieves":[115],"better":[116],"performances":[117],"compared":[118],"with":[119],"existing":[120],"methods.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}