{"id":"https://openalex.org/W134589429","doi":"https://doi.org/10.1007/1-4020-4179-9_61","title":"STEM-END/CALYX DETECTION IN APPLE FRUITS Comparison of Feature Selection Methods and Classifiers","display_name":"STEM-END/CALYX DETECTION IN APPLE FRUITS Comparison of Feature Selection Methods and Classifiers","publication_year":2006,"publication_date":"2006-03-10","ids":{"openalex":"https://openalex.org/W134589429","doi":"https://doi.org/10.1007/1-4020-4179-9_61","mag":"134589429"},"language":"en","primary_location":{"id":"doi:10.1007/1-4020-4179-9_61","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_61","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"},"type":"book-chapter","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/A5006754641","display_name":"Devrim \u00dcnay","orcid":"https://orcid.org/0000-0003-3478-7318"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Devrim Unay","raw_affiliation_strings":["TCTS Lab., Facult\u00e9 Polytechnique de Mons, Multitel Building, Avenue Copernic 1, Parc Initialis, Mons, B7000, Belgium"],"affiliations":[{"raw_affiliation_string":"TCTS Lab., Facult\u00e9 Polytechnique de Mons, Multitel Building, Avenue Copernic 1, Parc Initialis, Mons, B7000, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046181171","display_name":"Bernard Gosselin","orcid":null},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bernard Gosselin","raw_affiliation_strings":["Faculte Polytechnique de Mons, Belgium"],"affiliations":[{"raw_affiliation_string":"Faculte Polytechnique de Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006754641"],"corresponding_institution_ids":["https://openalex.org/I130929987"],"apc_list":null,"apc_paid":null,"fwci":2.7233,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90046296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.9334999918937683,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/calyx","display_name":"Calyx","score":0.8057810068130493},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6972164511680603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6780496835708618},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6714760065078735},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5712401866912842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5644665956497192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5048351883888245},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4982106685638428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4409666657447815},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4269745647907257},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1404072344303131},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.06627586483955383}],"concepts":[{"id":"https://openalex.org/C2776390344","wikidata":"https://www.wikidata.org/wiki/Q5024772","display_name":"Calyx","level":2,"score":0.8057810068130493},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6972164511680603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6780496835708618},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6714760065078735},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5712401866912842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5644665956497192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5048351883888245},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4982106685638428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4409666657447815},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4269745647907257},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1404072344303131},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.06627586483955383}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/1-4020-4179-9_61","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_61","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.73.4204","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.4204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tcts.fpms.ac.be/publications/papers/2004/iccvg04_dubg.pdf","raw_type":"text"},{"id":"pmh:oai:orbi.umons.ac.be:20.500.12907/7135","is_oa":false,"landing_page_url":"https://orbi.umons.ac.be/handle/20.500.12907/7135","pdf_url":null,"source":{"id":"https://openalex.org/S7407055454","display_name":"ORBi UMONS","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computer Vision and Graphics, Varsovie, Poland [PL], 2004","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318621","display_name":"Waalse Gewest","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1976163337","https://openalex.org/W2004288788","https://openalex.org/W2020931744","https://openalex.org/W2044465660","https://openalex.org/W2062024414","https://openalex.org/W2090425533","https://openalex.org/W2091443795","https://openalex.org/W2104862701","https://openalex.org/W2124925264","https://openalex.org/W2127406992","https://openalex.org/W2133454450","https://openalex.org/W2150134853","https://openalex.org/W2159498975","https://openalex.org/W4255272544","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800","https://openalex.org/W2888937984","https://openalex.org/W2128012032","https://openalex.org/W108062576","https://openalex.org/W2149131139","https://openalex.org/W2736909849","https://openalex.org/W2088298796","https://openalex.org/W354631666"],"abstract_inverted_index":{"A":[0],"multiple":[1],"classifier":[2,63],"system":[3],"to":[4,26],"localize":[5],"stem-ends":[6],"and":[7,38,54],"calyxes":[8],"of":[9,33],"apple":[10],"fruits":[11],"was":[12],"introduced":[13],"previously.":[14],"In":[15],"this":[16,27],"paper":[17],"we":[18],"not":[19],"only":[20],"introduce":[21],"a":[22],"new":[23],"decision":[24],"step":[25],"system,":[28],"but":[29],"also":[30],"provide":[31],"comparisons":[32],"several":[34],"feature":[35],"selection":[36,47],"algorithms":[37],"classifiers":[39],"used.":[40],"Our":[41],"results":[42],"prove":[43],"that":[44],"floating":[45],"forward":[46],"is":[48],"the":[49],"best":[50],"within":[51],"heuristic":[52],"methods":[53],"support":[55],"vector":[56],"machines":[57],"are":[58],"better":[59],"than":[60],"nearest":[61],"neighbor":[62],"in":[64],"discriminating":[65],"stem-ends/calyxes":[66],"from":[67],"defects.":[68]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}