{"id":"https://openalex.org/W2142991638","doi":"https://doi.org/10.1109/aiccsa.2005.1387118","title":"Contextual classifier combination by markov random fields-bayes formalism and evolutionary programming application: image classification enhancement","display_name":"Contextual classifier combination by markov random fields-bayes formalism and evolutionary programming application: image classification enhancement","publication_year":2005,"publication_date":"2005-04-01","ids":{"openalex":"https://openalex.org/W2142991638","doi":"https://doi.org/10.1109/aiccsa.2005.1387118","mag":"2142991638"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2005.1387118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2005.1387118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005.","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/A5086073765","display_name":"Salim Chitroub","orcid":"https://orcid.org/0000-0003-2641-1249"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"S. Chitroub","raw_affiliation_strings":["Signal and Image Processing Laboratory, Electronics and Informatics Faculty, U.S.T.H.B University, Algiers, Algeria","Fac. of Electron. & Informatics, USTHB, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Laboratory, Electronics and Informatics Faculty, U.S.T.H.B University, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]},{"raw_affiliation_string":"Fac. of Electron. & Informatics, USTHB, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086073765"],"corresponding_institution_ids":["https://openalex.org/I157169809","https://openalex.org/I192268740"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14934106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"694","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9726999998092651,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6956319212913513},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6918906569480896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531683802604675},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.6340495347976685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6109561324119568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5624095797538757},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5402531027793884},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.47204408049583435},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.47174179553985596},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43526309728622437},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.42126861214637756},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.411693274974823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2793010473251343},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2561783194541931},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1674368679523468},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12168145179748535},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10039043426513672}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6956319212913513},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6918906569480896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531683802604675},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.6340495347976685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6109561324119568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5624095797538757},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5402531027793884},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.47204408049583435},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.47174179553985596},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43526309728622437},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.42126861214637756},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.411693274974823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2793010473251343},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2561783194541931},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1674368679523468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12168145179748535},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10039043426513672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2005.1387118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2005.1387118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005.","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/W203814199","https://openalex.org/W1549119093","https://openalex.org/W1554544485","https://openalex.org/W1559215823","https://openalex.org/W1947777220","https://openalex.org/W1979432452","https://openalex.org/W1991932232","https://openalex.org/W1997600725","https://openalex.org/W2000821228","https://openalex.org/W2019635781","https://openalex.org/W2049824131","https://openalex.org/W2076850006","https://openalex.org/W2114220616","https://openalex.org/W2115621564","https://openalex.org/W2135293965","https://openalex.org/W2158391101","https://openalex.org/W2162480849","https://openalex.org/W2164568552","https://openalex.org/W4214564766","https://openalex.org/W4249533638","https://openalex.org/W6640767226"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2057359786","https://openalex.org/W2394466068","https://openalex.org/W2381401419","https://openalex.org/W2383501440","https://openalex.org/W2417174640","https://openalex.org/W4312866165","https://openalex.org/W145653800","https://openalex.org/W2957157835","https://openalex.org/W2034570513"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"By":[4,97],"using":[5],"the":[6,13,30,33,57,61,65,87,90,95,100,117,121,124,130,138,150],"Markov":[7],"random":[8],"fields":[9],"(MRF)-Bayes":[10],"formalism":[11],"with":[12,147],"evolutionary":[14,81],"programming,":[15],"a":[16],"method":[17,119],"of":[18,32,38,51,63,75,103,113,123,149],"contextual":[19],"classifier":[20],"combination":[21],"for":[22,47,71],"image":[23],"classification":[24,126],"enhancement":[25],"is":[26,78,83,105],"proposed.":[27],"It":[28,53,141],"combines":[29],"outputs":[31],"classifiers":[34,151],"without":[35],"taking":[36],"account":[37],"their":[39],"internal":[40],"characteristics.":[41],"So,":[42],"it":[43],"can":[44,134],"be":[45,135],"used":[46,84],"combining":[48],"any":[49],"type":[50],"classifier.":[52],"does":[54],"not":[55],"use":[56],"training":[58,69],"process":[59,86],"and":[60,67,89,115],"problem":[62],"extracting":[64],"sufficient":[66],"reliable":[68],"samples":[70],"an":[72],"accurate":[73],"estimation":[74],"class":[76],"parameters":[77],"avoided.":[79],"The":[80],"computation":[82],"to":[85],"complementarities":[88],"conflicts":[91],"that":[92],"exist":[93],"between":[94],"classifiers.":[96],"this":[98],"way,":[99],"actual":[101],"number":[102],"classes":[104],"detected.":[106],"Based":[107],"on":[108],"some":[109],"objective":[110],"quantitative":[111],"measures":[112],"evaluation":[114],"comparison,":[116],"proposed":[118],"overcomes":[120],"disadvantages":[122],"supervised":[125],"methods":[127],"developed":[128],"in":[129,145],"literature.":[131],"Its":[132],"efficiency":[133],"seen":[136],"from":[137],"experimental":[139],"results.":[140],"gives":[142],"better":[143],"results":[144],"comparison":[146],"those":[148],"considered":[152],"separately.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}