{"id":"https://openalex.org/W1981661952","doi":"https://doi.org/10.1145/2461217.2461232","title":"Auto feature selection for object detection, can or can't?","display_name":"Auto feature selection for object detection, can or can't?","publication_year":2011,"publication_date":"2011-04-28","ids":{"openalex":"https://openalex.org/W1981661952","doi":"https://doi.org/10.1145/2461217.2461232","mag":"1981661952"},"language":"en","primary_location":{"id":"doi:10.1145/2461217.2461232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461217.2461232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Spring Conference on Computer Graphics","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/A5051815315","display_name":"Bao Nguyen Thien","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bao Nguyen Thien","raw_affiliation_strings":["Ritsumeikan University, Japan","Ritsumeikan University , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan University , Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111433832","display_name":"Yoshiaki Shirai","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki Shirai","raw_affiliation_strings":["Ritsumeikan University, Japan","Ritsumeikan University , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan University , Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.06311861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8037289381027222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6871207356452942},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6637777090072632},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.623004674911499},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6096210479736328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5879842042922974},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5409148931503296},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5123611688613892},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5014910697937012},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49383479356765747},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49142277240753174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48879143595695496},{"id":"https://openalex.org/keywords/tower","display_name":"Tower","score":0.42332836985588074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0944177508354187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037289381027222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6871207356452942},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6637777090072632},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.623004674911499},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6096210479736328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5879842042922974},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5409148931503296},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5123611688613892},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5014910697937012},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49383479356765747},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49142277240753174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48879143595695496},{"id":"https://openalex.org/C2777831296","wikidata":"https://www.wikidata.org/wiki/Q12518","display_name":"Tower","level":2,"score":0.42332836985588074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0944177508354187},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"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/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:10.1145/2461217.2461232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461217.2461232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Spring Conference on Computer Graphics","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":17,"referenced_works":["https://openalex.org/W255846030","https://openalex.org/W1625255723","https://openalex.org/W1998697499","https://openalex.org/W2098411764","https://openalex.org/W2100679976","https://openalex.org/W2119605622","https://openalex.org/W2124628561","https://openalex.org/W2125560515","https://openalex.org/W2130660124","https://openalex.org/W2134270519","https://openalex.org/W2141111734","https://openalex.org/W2147064387","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2162349892","https://openalex.org/W2162915993","https://openalex.org/W2917475213"],"related_works":["https://openalex.org/W4214759293","https://openalex.org/W2948890638","https://openalex.org/W2377743247","https://openalex.org/W2481514411","https://openalex.org/W3213682227","https://openalex.org/W2367420223","https://openalex.org/W2567029817","https://openalex.org/W2319168490","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"research":[1],"focuses":[2],"on":[3,32],"developing":[4],"a":[5,12,26,42],"system":[6],"that":[7,69,115],"can":[8,71],"retrieve":[9],"objects":[10],"from":[11],"large":[13],"image":[14,22],"database":[15],"by":[16],"exploring":[17],"the":[18,33,77,116],"different":[19],"types":[20],"of":[21,29,35,65,84],"features.":[23,37],"We":[24,86],"propose":[25],"global":[27],"representation":[28],"object":[30,47],"based":[31],"combination":[34],"multiple":[36],"After":[38],"that,":[39],"we":[40],"design":[41],"novel":[43],"method":[44,57,67,118],"for":[45,80,90],"generic":[46],"detecting":[48,81,91],"in":[49],"still":[50],"images":[51],"with":[52],"automatic":[53],"feature":[54],"selection.":[55],"Our":[56],"is":[58,68,119],"simple,":[59],"computationally":[60],"efficient":[61],"The":[62],"main":[63],"advantage":[64],"this":[66],"it":[70],"automatically":[72],"choose":[73],"features":[74],"which":[75],"are":[76],"most":[78],"suitale":[79],"one":[82],"type":[83],"object.":[85],"present":[87],"experimental":[88],"results":[89],"many":[92],"visual":[93],"categories":[94],"including":[95],"side":[96],"view":[97,100],"car,":[98,101],"front":[99],"bike,":[102],"motorbike,":[103],"train,":[104],"aero":[105],"plane,":[106],"horse,":[107],"sheep,":[108],"flower":[109],"and":[110,121],"tower.":[111],"Results":[112],"clearly":[113],"demonstrate":[114],"proposed":[117],"robust":[120],"produces":[122],"good":[123],"detection":[124],"accuracy":[125],"rate.":[126]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
