{"id":"https://openalex.org/W2792632245","doi":"https://doi.org/10.1109/spac.2017.8304347","title":"Fusion of probabilistic collaborative and sparse representation for robust image classification","display_name":"Fusion of probabilistic collaborative and sparse representation for robust image classification","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792632245","doi":"https://doi.org/10.1109/spac.2017.8304347","mag":"2792632245"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304347","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5064152838","display_name":"Zhangdan Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhangdan Chi","raw_affiliation_strings":["Sch. of Infor. Sci. and Tech, Huizhou Unversity, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"Sch. of Infor. Sci. and Tech, Huizhou Unversity, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052292368","display_name":"Shaoning Zeng","orcid":"https://orcid.org/0000-0002-4384-8787"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoning Zeng","raw_affiliation_strings":["Sch. of Infor. Sci. and Tech, Huizhou Unversity, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"Sch. of Infor. Sci. and Tech, Huizhou Unversity, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042645332","display_name":"Jianping Gou","orcid":"https://orcid.org/0000-0003-1413-0693"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Gou","raw_affiliation_strings":["Col. of Comp. Sci. and Comm. Eng, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Col. of Comp. Sci. and Comm. Eng, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064152838"],"corresponding_institution_ids":["https://openalex.org/I93477617"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20289855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"597","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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/robustness","display_name":"Robustness (evolution)","score":0.8314590454101562},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7642005681991577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7235928177833557},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.7225850820541382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6972560882568359},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6418495178222656},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6413813233375549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923313498497009},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5543896555900574},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48749303817749023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45444828271865845},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42618703842163086},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42268916964530945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33649328351020813}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8314590454101562},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7642005681991577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7235928177833557},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.7225850820541382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6972560882568359},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6418495178222656},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6413813233375549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923313498497009},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5543896555900574},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48749303817749023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45444828271865845},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42618703842163086},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42268916964530945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33649328351020813},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2017.8304347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304347","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1143616857","https://openalex.org/W1201875361","https://openalex.org/W1503398984","https://openalex.org/W1516649441","https://openalex.org/W1672851775","https://openalex.org/W1808256548","https://openalex.org/W2010099812","https://openalex.org/W2033241812","https://openalex.org/W2055254373","https://openalex.org/W2068476218","https://openalex.org/W2085400714","https://openalex.org/W2100240926","https://openalex.org/W2104834807","https://openalex.org/W2120100419","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2134658556","https://openalex.org/W2298605637","https://openalex.org/W2471678645","https://openalex.org/W2507470109","https://openalex.org/W2530842534","https://openalex.org/W2531910344","https://openalex.org/W2591362068","https://openalex.org/W2725281289","https://openalex.org/W2963689635","https://openalex.org/W6630177651","https://openalex.org/W6679523328","https://openalex.org/W6697869303","https://openalex.org/W6728324937"],"related_works":["https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708"],"abstract_inverted_index":{"The":[0,10,121],"image":[1,8,59,68,133],"representation":[2,17,81],"model":[3,12],"determines":[4],"the":[5,22,30,40,47,58,91,103,110],"robustness":[6],"of":[7,32,115],"classification.":[9],"sparse":[11,80],"obtained":[13,49,75],"by":[14,50,76],"Probabilistic":[15],"Collaborative":[16],"based":[18,82],"Classification":[19],"(ProCRC)":[20],"calculates":[21],"probability":[23],"that":[24,46,71,125],"a":[25,66,93,129],"test":[26],"sample":[27],"belongs":[28],"to":[29,34,99,108],"subspace":[31],"classes,":[33],"find":[35],"out":[36],"which":[37],"class":[38],"has":[39,128],"most":[41],"possibility.":[42],"Previous":[43],"studies":[44],"showed":[45,124],"distances":[48,74],"different":[51],"models":[52],"may":[53],"have":[54],"some":[55],"complementary":[56],"in":[57,132],"representation.":[60],"For":[61],"this":[62],"motivation,":[63],"we":[64,86,112],"proposed":[65],"novel":[67],"classification":[69,83,134],"method":[70,127],"fusing":[72],"two":[73,104],"ProCRC":[77,137],"and":[78,138],"conventional":[79],"(SRC).":[84],"Therefore,":[85],"named":[87],"it":[88],"ProSCRC.":[89],"In":[90,106],"fusion,":[92],"weight":[94],"factor":[95],"A":[96],"was":[97],"introduced":[98],"balance":[100],"contributions":[101],"from":[102],"distances.":[105],"order":[107],"evaluate":[109],"robustness,":[111],"conducted":[113],"plenty":[114],"experiments":[116],"on":[117],"prevailing":[118],"benchmark":[119],"databases.":[120],"experimental":[122],"results":[123],"our":[126],"higher":[130],"accuracy":[131],"than":[135],"both":[136],"SRC.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
