{"id":"https://openalex.org/W2808031019","doi":"https://doi.org/10.1109/icaci.2018.8377586","title":"A flower image retrieval method based on memetic feature selection algorithm","display_name":"A flower image retrieval method based on memetic feature selection algorithm","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2808031019","doi":"https://doi.org/10.1109/icaci.2018.8377586","mag":"2808031019"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2018.8377586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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/A5052775723","display_name":"Zhijiao Xiao","orcid":"https://orcid.org/0000-0002-9664-821X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijiao Xiao","raw_affiliation_strings":["College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065268057","display_name":"Shaoyang Zhou","orcid":"https://orcid.org/0000-0002-2201-6068"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyang Zhou","raw_affiliation_strings":["College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061832282","display_name":"Meiyuan Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyuan Cao","raw_affiliation_strings":["College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08542828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"85","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9758999943733215,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9758999943733215,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9674000144004822,"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/memetic-algorithm","display_name":"Memetic algorithm","score":0.8659098148345947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343867182731628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074912548065186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6063213348388672},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5986566543579102},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5648902058601379},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5130273103713989},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5086523294448853},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49121230840682983},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45215675234794617},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44415295124053955},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.43989139795303345},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.41446158289909363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33403295278549194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.326198935508728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31286555528640747}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.8659098148345947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343867182731628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074912548065186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6063213348388672},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5986566543579102},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5648902058601379},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5130273103713989},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5086523294448853},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49121230840682983},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45215675234794617},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44415295124053955},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.43989139795303345},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.41446158289909363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33403295278549194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.326198935508728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31286555528640747},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2018.8377586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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":11,"referenced_works":["https://openalex.org/W1969671462","https://openalex.org/W2047670868","https://openalex.org/W2118246710","https://openalex.org/W2118614703","https://openalex.org/W2135411395","https://openalex.org/W2153635508","https://openalex.org/W2156571267","https://openalex.org/W2165885026","https://openalex.org/W4394023857","https://openalex.org/W6680563033","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W2163647484","https://openalex.org/W47248985","https://openalex.org/W2000270779","https://openalex.org/W2129486222","https://openalex.org/W3144175025","https://openalex.org/W1778024729","https://openalex.org/W2042716007","https://openalex.org/W1587473980","https://openalex.org/W1980841486","https://openalex.org/W2043816158"],"abstract_inverted_index":{"Contend-based":[0],"flower":[1,22],"image":[2,15,23],"retrieval":[3,16,24,136],"is":[4,26,59,70],"one":[5],"of":[6,89,123],"the":[7,53,62,73,82,96,110,117],"hottest":[8],"and":[9,128],"most":[10],"challenging":[11],"problem":[12],"in":[13],"content-based":[14],"area.":[17],"In":[18],"this":[19],"paper,":[20],"a":[21,30,38,43,48,104],"method":[25,119],"proposed":[27,34,83,118],"based":[28],"on":[29,135],"memetic":[31,49,84],"algorithm.":[32],"The":[33,91],"method,":[35],"which":[36],"combines":[37],"global":[39,63],"search":[40,45,64,75],"strategy":[41,65],"with":[42,125],"local":[44,74],"strategy,":[46],"uses":[47],"algorithm":[50,58,85],"to":[51,102,108],"select":[52],"optimal":[54],"feature":[55,106],"subset.":[56],"Genetic":[57],"used":[60,107],"as":[61,72],"while":[66],"approximate":[67],"Markov":[68],"blanket":[69],"adopted":[71],"strategy.":[76],"Primary":[77],"classifiers":[78,98],"are":[79,99],"trained":[80],"using":[81],"for":[86],"each":[87],"kind":[88],"features.":[90],"probabilities":[92],"obtained":[93],"by":[94],"all":[95],"primary":[97],"combined":[100],"together":[101],"form":[103],"mid-level":[105],"train":[109],"final":[111],"classifier.":[112],"Experimental":[113],"results":[114],"show":[115],"that":[116],"selects":[120],"fewer":[121],"number":[122],"features":[124],"better":[126],"precisions":[127],"recall":[129],"ratios.":[130],"That":[131],"also":[132],"brings":[133],"improvements":[134],"time.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}