{"id":"https://openalex.org/W2048178334","doi":"https://doi.org/10.1109/icip.2010.5652822","title":"Similarity-based image classification via kernelized sparse representation","display_name":"Similarity-based image classification via kernelized sparse representation","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2048178334","doi":"https://doi.org/10.1109/icip.2010.5652822","mag":"2048178334"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5100410706","display_name":"Zhi Zeng","orcid":"https://orcid.org/0000-0003-2150-2088"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zeng","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences  Beijing China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457014","display_name":"Heping Li","orcid":"https://orcid.org/0000-0001-7693-9733"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heping Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences  Beijing China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663977","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0003-3813-3223"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences  Beijing China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109291841","display_name":"Shuwu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwu Zhang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences  Beijing China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7641634941101074},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6564206480979919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556790471076965},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5701965093612671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5169488787651062},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5112569332122803},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4543726146221161},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4375643730163574},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.43176013231277466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4239211976528168},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.404074490070343}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7641634941101074},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6564206480979919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556790471076965},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5701965093612671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5169488787651062},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5112569332122803},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4543726146221161},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4375643730163574},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.43176013231277466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4239211976528168},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.404074490070343},{"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/icip.2010.5652822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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":21,"referenced_works":["https://openalex.org/W1573479995","https://openalex.org/W1980637629","https://openalex.org/W2000123870","https://openalex.org/W2029727948","https://openalex.org/W2078204800","https://openalex.org/W2088727418","https://openalex.org/W2108082645","https://openalex.org/W2111125131","https://openalex.org/W2115933183","https://openalex.org/W2116148865","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2125574651","https://openalex.org/W2129812935","https://openalex.org/W2129976136","https://openalex.org/W2151103935","https://openalex.org/W2151706538","https://openalex.org/W2155695844","https://openalex.org/W2155904486","https://openalex.org/W2162915993","https://openalex.org/W2435338979"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2539392819","https://openalex.org/W212310357"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,8,15,20,40,51,70,93,110,143,146,160],"image":[3,72,103,154],"classification":[4,73,83,94,155],"problem":[5],"based":[6,27,85],"on":[7,28,86,167],"similarities":[9,52],"between":[10,159],"images.":[11,108],"The":[12],"choice":[13,141],"of":[14,53,101,142],"similarity":[16,42,144],"is":[17,44,128],"related":[18],"to":[19,68,106,152],"particular":[21],"applications,":[22],"and":[23,163,172],"it":[24,63],"could":[25,55],"be":[26,56,150],"color,":[29],"texture,":[30],"bag-of-features,":[31],"or":[32],"even":[33],"more":[34],"complex":[35],"kernels.":[36,59],"As":[37],"long":[38],"as":[39,58,95],"pair-wise":[41],"matrix":[43],"transformed":[45],"into":[46],"a":[47,80,97,120,139],"positive":[48],"semidefinite":[49],"one,":[50],"images":[54],"treated":[57],"This":[60,89],"transformation":[61],"makes":[62],"possible":[64],"for":[65],"kernel":[66],"methods":[67],"solve":[69],"similarity-based":[71],"problem.":[74],"In":[75],"this":[76,115],"paper,":[77],"we":[78,113],"propose":[79],"novel":[81],"kernelized":[82,122],"framework":[84,91],"sparse":[87,98,116],"representation.":[88],"new":[90],"casts":[92],"finding":[96],"linear":[99],"representation":[100],"test":[102],"with":[104],"respect":[105],"training":[107],"Unlike":[109],"former":[111],"works,":[112],"do":[114],"coding":[117],"procedure":[118],"through":[119],"proposed":[121,147,161],"orthogonal":[123],"matching":[124],"pursuit":[125],"algorithm,":[126],"which":[127],"performed":[129,179],"in":[130],"inner":[131],"product":[132],"space":[133],"rather":[134],"than":[135],"Euclidean":[136],"space.":[137],"Through":[138],"proper":[140],"function,":[145],"approach":[148],"can":[149],"applied":[151],"diverse":[153],"problems.":[156],"Comparative":[157],"experiments":[158],"method":[162,178],"other":[164],"existing":[165],"methods,":[166],"two":[168],"real":[169],"datasets":[170],"(Caltech-101":[171],"Face":[173],"Rec)":[174],"show":[175],"that":[176],"our":[177],"better.":[180]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}