{"id":"https://openalex.org/W2345061659","doi":"https://doi.org/10.5220/0005710403090316","title":"Learning of Graph Compressed Dictionaries for Sparse Representation Classification","display_name":"Learning of Graph Compressed Dictionaries for Sparse Representation Classification","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2345061659","doi":"https://doi.org/10.5220/0005710403090316","mag":"2345061659"},"language":"en","primary_location":{"id":"doi:10.5220/0005710403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005710403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005710403090316","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010417203","display_name":"Farshad Nourbakhsh","orcid":null},"institutions":[{"id":"https://openalex.org/I49663120","display_name":"Universit\u00e9 du Qu\u00e9bec","ror":"https://ror.org/010gxg263","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farshad Nourbakhsh","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I49663120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I49663120","display_name":"Universit\u00e9 du Qu\u00e9bec","ror":"https://ror.org/010gxg263","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I49663120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I49663120"],"apc_list":null,"apc_paid":null,"fwci":0.1657,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53876113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9876999855041504,"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/computer-science","display_name":"Computer science","score":0.8172488212585449},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.628266453742981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6269346475601196},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5891767740249634},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5433197617530823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5297858715057373},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5260336995124817},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.508775532245636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4897036850452423},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.4409817159175873},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4181661605834961},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.2629953920841217},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1768854856491089}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172488212585449},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.628266453742981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6269346475601196},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5891767740249634},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5433197617530823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5297858715057373},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5260336995124817},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.508775532245636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4897036850452423},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.4409817159175873},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4181661605834961},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2629953920841217},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1768854856491089},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0005710403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005710403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:12842","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":{"id":"doi:10.5220/0005710403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005710403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W780758925","https://openalex.org/W1145659577","https://openalex.org/W1966292582","https://openalex.org/W1966872876","https://openalex.org/W1971201265","https://openalex.org/W1992405901","https://openalex.org/W2005437133","https://openalex.org/W2008732654","https://openalex.org/W2027610308","https://openalex.org/W2032768707","https://openalex.org/W2058211319","https://openalex.org/W2085400714","https://openalex.org/W2096027770","https://openalex.org/W2098012923","https://openalex.org/W2100240926","https://openalex.org/W2108767394","https://openalex.org/W2108781142","https://openalex.org/W2112876920","https://openalex.org/W2116537669","https://openalex.org/W2120100419","https://openalex.org/W2129812935","https://openalex.org/W2135029798","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2295907397","https://openalex.org/W3099497614"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4372266926","https://openalex.org/W4245251483","https://openalex.org/W2116148865","https://openalex.org/W2890544631","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W1520740474","https://openalex.org/W1998873033"],"abstract_inverted_index":{"Despite":[0],"the":[1,47,85,148,166,186],"limited":[2,58],"target":[3],"data":[4,60],"available":[5,61],"to":[6,29,32,93,108,123,133,155,172,181],"design":[7,48],"face":[8],"models":[9],"in":[10,22],"video":[11,187],"surveillance":[12,188],"applications,":[13],"many":[14],"faces":[15,78,184],"of":[16,49,77,113,147,178],"non-target":[17,80],"individuals":[18],"may":[19],"be":[20],"captured":[21],"operational":[23],"environments,":[24],"and":[25,106,137,145,153,159,176],"over":[26],"multiple":[27],"cameras,":[28],"improve":[30],"robustness":[31],"variations.":[33,126],"This":[34],"paper":[35],"focuses":[36],"on":[37,54,103],"Sparse":[38],"Representation":[39],"Classification":[40],"(SRC)":[41],"techniques":[42],"that":[43,71],"are":[44],"suitable":[45],"for":[46,98],"still-to-video":[50],"FR":[51],"systems":[52],"based":[53,102],"under-sampled":[55],"dictionaries.":[56,143],"The":[57],"reference":[59,156,183],"during":[62],"enrolment":[63],"is":[64,72,91,101,151,170],"complemented":[65],"by":[66],"an":[67,75],"over-complete":[68],"external":[69],"dictionary":[70,160],"formed":[73],"with":[74,115],"abundance":[76],"from":[79,165,185],"individuals.":[81],"In":[82],"this":[83],"paper,":[84],"Graph-Compressed":[86],"Dictionary":[87],"Learning":[88],"(GCDL)":[89],"technique":[90,150,162],"proposed":[92,149],"learn":[94],"compact":[95],"auxiliary":[96],"dictionaries":[97,117,180],"SRC.":[99],"GCDL":[100,169],"matrix":[104],"factorization,":[105],"allows":[107],"maintain":[109],"a":[110],"high":[111],"level":[112],"accuracy":[114],"compressed":[116,142,179],"because":[118],"it":[119],"exploits":[120],"structural":[121],"information":[122],"represent":[124],"intra-class":[125],"Graph":[127],"factorization":[128],"compression":[129],"has":[130],"been":[131],"shown":[132,171],"efficiently":[134],"compress":[135],"data,":[136],"can":[138],"therefore":[139],"rapidly":[140],"construct":[141],"Accuracy":[144],"efficiency":[146],"assessed":[152],"compared":[154],"sparse":[157],"coding":[158],"learning":[161],"using":[163],"videos":[164],"CAS-PEAL":[167],"database.":[168],"provide":[173],"fast":[174],"matching":[175],"adaptation":[177],"new":[182],"environments.":[189]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}