{"id":"https://openalex.org/W1975844700","doi":"https://doi.org/10.1016/0167-8655(95)80005-e","title":"Object recognition by a linear weight classifier","display_name":"Object recognition by a linear weight classifier","publication_year":1995,"publication_date":"1995-06-01","ids":{"openalex":"https://openalex.org/W1975844700","doi":"https://doi.org/10.1016/0167-8655(95)80005-e","mag":"1975844700"},"language":"en","primary_location":{"id":"doi:10.1016/0167-8655(95)80005-e","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0167-8655(95)80005-e","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","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/A5033678008","display_name":"Du\u2010Ming Tsai","orcid":"https://orcid.org/0000-0001-8783-7994"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Du-Ming Tsai","raw_affiliation_strings":["Department of Industrial Engineering, Yuan-Ze Institute of Technology, Nei-Li, Taiwan 32026, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Yuan-Ze Institute of Technology, Nei-Li, Taiwan 32026, R.O.C","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045793469","display_name":"Ming-fong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-fong Chen","raw_affiliation_strings":["Department of Industrial Engineering, Yuan-Ze Institute of Technology, Nei-Li, Taiwan 32026, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Yuan-Ze Institute of Technology, Nei-Li, Taiwan 32026, R.O.C","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033678008"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":null,"fwci":0.4466,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.65153302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"6","first_page":"591","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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":0.9965000152587891,"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/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6862053871154785},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6259852647781372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6256938576698303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.585618257522583},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.5736249685287476},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.5601147413253784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48987430334091187},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4760938882827759},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43664786219596863},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43299150466918945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42928171157836914},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4281042814254761},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.41208118200302124},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4120592176914215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2781742811203003}],"concepts":[{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6862053871154785},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6259852647781372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6256938576698303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.585618257522583},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.5736249685287476},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.5601147413253784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48987430334091187},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4760938882827759},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43664786219596863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43299150466918945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42928171157836914},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4281042814254761},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.41208118200302124},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4120592176914215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2781742811203003},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0167-8655(95)80005-e","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0167-8655(95)80005-e","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1965663098","https://openalex.org/W1997720440","https://openalex.org/W2002684100","https://openalex.org/W2006522737","https://openalex.org/W2017760384","https://openalex.org/W2026311529","https://openalex.org/W2037365151","https://openalex.org/W2038691774","https://openalex.org/W2045010718","https://openalex.org/W2052277674","https://openalex.org/W2056619108","https://openalex.org/W2066944227","https://openalex.org/W2072405256","https://openalex.org/W2072439030","https://openalex.org/W2111933145","https://openalex.org/W2122827492","https://openalex.org/W2159498975","https://openalex.org/W2169991573","https://openalex.org/W2911709767","https://openalex.org/W3145132488","https://openalex.org/W4247381127"],"related_works":["https://openalex.org/W2094361564","https://openalex.org/W4206931074","https://openalex.org/W4225663860","https://openalex.org/W4225124612","https://openalex.org/W1980697359","https://openalex.org/W4389543278","https://openalex.org/W40808513","https://openalex.org/W1975844700","https://openalex.org/W2055548604","https://openalex.org/W2481185622"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
