{"id":"https://openalex.org/W2078706505","doi":"https://doi.org/10.1142/s0218001497000044","title":"Assessing Feature Importance in the Context of Object Recognition","display_name":"Assessing Feature Importance in the Context of Object Recognition","publication_year":1997,"publication_date":"1997-02-01","ids":{"openalex":"https://openalex.org/W2078706505","doi":"https://doi.org/10.1142/s0218001497000044","mag":"2078706505"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001497000044","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000044","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5075769902","display_name":"Geoff West","orcid":"https://orcid.org/0000-0003-3279-3642"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Geoff A. W. West","raw_affiliation_strings":["Department of Computer Science,  Curtin University of Technology Bentley, Perth,  Western Australia, Australia","Department of Computer Science, Curtin University of Technology, Bentley, Perth, Western Australia, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science,  Curtin University of Technology Bentley, Perth,  Western Australia, Australia","institution_ids":["https://openalex.org/I205640436"]},{"raw_affiliation_string":"Department of Computer Science, Curtin University of Technology, Bentley, Perth, Western Australia, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075769902"],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":0.9463,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78693685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"01","first_page":"49","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.968999981880188,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.968999981880188,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9265000224113464,"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":0.8360104560852051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7563071250915527},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6906725764274597},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6335134506225586},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6289648413658142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6065974235534668},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5966376662254333},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5904828906059265},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.5745651721954346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5602037906646729},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5570628046989441},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5062238574028015},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.5039543509483337},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4684816598892212},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4670048952102661},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33236163854599},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20368167757987976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360104560852051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7563071250915527},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6906725764274597},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6335134506225586},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6289648413658142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6065974235534668},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5966376662254333},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5904828906059265},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.5745651721954346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5602037906646729},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5570628046989441},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5062238574028015},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.5039543509483337},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4684816598892212},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4670048952102661},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33236163854599},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20368167757987976},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001497000044","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000044","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2403129783","https://openalex.org/W2188151889","https://openalex.org/W3006949615","https://openalex.org/W1841786463","https://openalex.org/W2026311529"],"abstract_inverted_index":{"A":[0,139],"popular":[1],"paradigm":[2],"in":[3,72,111,151],"computer":[4],"vision":[5,11,51],"is":[6,63,70,81,144],"based":[7],"on":[8,89],"dividing":[9],"the":[10,65,78,90,112,127,142,145,152,155],"problem":[12],"into":[13],"three":[14],"stages":[15,43,135],"namely":[16],"segmentation,":[17],"feature":[18,86,93,149],"extraction":[19,150],"and":[20,95,105,116,129,133],"recognition.":[21,34,97,138],"For":[22],"example":[23],"edge":[24],"detection":[25,29,94,107],"followed":[26,30],"by":[27,31],"line":[28,106],"planar":[32],"object":[33,96,137],"It":[35],"can":[36,122],"be":[37,46,54,124],"argued":[38],"that":[39,64],"each":[40,68],"of":[41,67,114,131,136,141,154],"these":[42],"needs":[44],"to":[45,49,53,147],"thoroughly":[47],"described":[48],"enable":[50],"systems":[52],"configured":[55],"with":[56],"predictable":[57],"performance.":[58],"However":[59],"an":[60],"alternative":[61],"view":[62],"performance":[66,80,87],"stage":[69],"not":[71],"itself":[73],"important":[74],"as":[75,77],"long":[76],"overall":[79],"acceptable.":[82],"This":[83],"paper":[84,143],"discusses":[85],"concentrating":[88],"assessmentof":[91],"edge-based":[92],"Evaluation":[98],"techniques":[99,121],"are":[100],"discussed":[101],"for":[102,109,126],"assessing":[103],"arc":[104],"algorithmsand":[108],"features":[110],"context":[113,153],"verification":[115,134],"pose":[117],"refinement":[118],"strategies.":[119],"These":[120],"then":[123],"used":[125],"design":[128],"integration":[130],"indexing":[132],"theme":[140],"need":[146],"assess":[148],"chosen":[156],"task.":[157]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
