{"id":"https://openalex.org/W2594779466","doi":"https://doi.org/10.5220/0006141302840290","title":"A Modified All-and-One Classification Algorithm Combined with the Bag-of-Features Model to Address the Food Recognition Task","display_name":"A Modified All-and-One Classification Algorithm Combined with the Bag-of-Features Model to Address the Food Recognition Task","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2594779466","doi":"https://doi.org/10.5220/0006141302840290","mag":"2594779466"},"language":"en","primary_location":{"id":"doi:10.5220/0006141302840290","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006141302840290","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 10th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006141302840290","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078179373","display_name":"Kalliopi Dalakleidi","orcid":"https://orcid.org/0000-0001-6702-4398"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kalliopi Dalakleidi","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024729372","display_name":"Myriam Sarantea","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Myriam Sarantea","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082313849","display_name":"Konstantina S. Nikita","orcid":"https://orcid.org/0000-0001-8255-4354"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina Nikita","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12873","display_name":"Nutrition, Health and Food Behavior","score":0.9171000123023987,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8146258592605591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7183206677436829},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6957948207855225},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6530193090438843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6441112160682678},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5539061427116394},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5130358934402466},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4669915735721588},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4466512203216553},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4209931194782257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35109466314315796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2150508463382721},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.12724745273590088},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08011239767074585}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8146258592605591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7183206677436829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6957948207855225},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6530193090438843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6441112160682678},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5539061427116394},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5130358934402466},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4669915735721588},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4466512203216553},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4209931194782257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35109466314315796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2150508463382721},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.12724745273590088},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08011239767074585},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0006141302840290","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006141302840290","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 10th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0006141302840290","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006141302840290","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 10th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6000000238418579,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1589677080","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W1968695676","https://openalex.org/W4385884940","https://openalex.org/W2158177428","https://openalex.org/W2165299150","https://openalex.org/W2740479052","https://openalex.org/W3099747494","https://openalex.org/W4200584542"],"abstract_inverted_index":{"Dietary":[0],"intake":[1],"monitoring":[2],"can":[3,31],"play":[4],"an":[5],"important":[6],"role":[7],"in":[8,99,153],"reducing":[9],"the":[10,23,103,109,119,132,135,145,157],"risk":[11],"of":[12,29,46,53,108,121,148],"diet":[13],"related":[14],"chronic":[15],"diseases.\nAutomatic":[16],"systems":[17],"that":[18,130],"support":[19],"patients":[20],"to":[21,101,117],"count":[22],"nutrient":[24],"contents,":[25],"like":[26],"carbohydrates":[27],"(CHO),":[28],"their\nmeals,":[30],"provide":[32],"valuable":[33],"tools.":[34],"In":[35],"this":[36],"study,":[37],"a":[38],"food":[39,54,62],"recognition":[40],"system":[41],"is":[42,97,115,125],"proposed,":[43],"which":[44],"consists":[45],"two\nmodules":[47],"performing":[48],"feature":[49],"extraction":[50],"and":[51,73,82],"classification":[52,141],"images,":[55],"respectively.":[56],"The":[57,93,139],"dataset":[58],"used":[59,98],"consists\nof":[60],"1200":[61],"images":[63],"split":[64],"into":[65],"six":[66],"categories":[67],"(bread,":[68],"meat,":[69],"potatoes,":[70],"rice,":[71],"pasta":[72],"vegetables).":[74],"Speeded\nUp":[75],"Robust":[76],"Features":[77],"(SURF)":[78],"along":[79],"with":[80,155],"Color":[81],"Local":[83],"Binary":[84],"Pattern":[85],"(LBP)":[86],"features":[87,104],"are":[88],"extracted":[89],"from":[90],"the\nfood":[91],"images.":[92],"Bag-Of-Features":[94],"(BOF)":[95],"model":[96],"order":[100],"reduce":[102],"space.":[105],"A":[106],"modified\nversion":[107],"All-And-One":[110],"Support":[111],"Vector":[112],"Machine":[113],"(SVM)":[114],"proposed":[116,140],"perform":[118],"task":[120],"classification\nand":[122],"its":[123],"performance":[124],"evaluated":[126],"against":[127],"several":[128],"classifiers":[129],"follow":[131],"SVM":[133],"or":[134],"K-Nearest":[136],"Neighbours\n(KNN)":[137],"approach.":[138],"method":[142],"has":[143],"achieved":[144],"highest":[146],"levels":[147],"accuracy":[149],"(Acc":[150],"=":[151],"94.2\n%)":[152],"comparison":[154],"all":[156],"other":[158],"classifiers.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
