{"id":"https://openalex.org/W2013799107","doi":"https://doi.org/10.1109/icarcv.2014.7064433","title":"Empirical survival error potential weighted least squares for binary pattern classification","display_name":"Empirical survival error potential weighted least squares for binary pattern classification","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2013799107","doi":"https://doi.org/10.1109/icarcv.2014.7064433","mag":"2013799107"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5101721382","display_name":"\u041b\u044d\u0439 \u0421\u0443\u043d","orcid":"https://orcid.org/0000-0001-7263-801X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Sun","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, PR China","School of Information and Electronics, Beijing Institute of Technology Beijing, PR China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, PR China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology Beijing, PR China, 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018473729","display_name":"Kar\u2010Ann Toh","orcid":"https://orcid.org/0000-0002-3736-003X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kar-Ann Toh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea","School of Electrical and Electronic Engineering, Yonsei University Seoul, Korea, 120-749"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University Seoul, Korea, 120-749","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049506273","display_name":"Zhiping Lin","orcid":"https://orcid.org/0000-0002-1587-1226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiping Lin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, PR China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University Xi'an, PR China 710049"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University Xi'an, PR China 710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101721382"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73276463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"460","issue":null,"first_page":"949","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.982699990272522,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6237319111824036},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5497223138809204},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.49315136671066284},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4918835163116455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4916391968727112},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46415695548057556},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4545612931251526},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44881030917167664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4470342695713043},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4420669674873352},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4132590889930725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40504419803619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2318246066570282}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6237319111824036},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5497223138809204},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.49315136671066284},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4918835163116455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4916391968727112},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46415695548057556},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4545612931251526},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44881030917167664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4470342695713043},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4420669674873352},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4132590889930725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40504419803619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2318246066570282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W565868953","https://openalex.org/W1480376833","https://openalex.org/W1819447595","https://openalex.org/W2052097982","https://openalex.org/W2055309977","https://openalex.org/W2084812512","https://openalex.org/W2092972104","https://openalex.org/W2110810023","https://openalex.org/W2118020555","https://openalex.org/W2122882636","https://openalex.org/W2126391818","https://openalex.org/W2133457703","https://openalex.org/W2153376734","https://openalex.org/W2169495281","https://openalex.org/W2398338688","https://openalex.org/W2481926318","https://openalex.org/W2799061466","https://openalex.org/W4230367971","https://openalex.org/W4244494905","https://openalex.org/W6671611538","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2365082216","https://openalex.org/W2388018705","https://openalex.org/W2362703586","https://openalex.org/W1970319972","https://openalex.org/W2953254336","https://openalex.org/W2112030392"],"abstract_inverted_index":{"A":[0],"weighted":[1,45],"least":[2,46],"squares":[3,47],"scheme":[4,28,61,84],"based":[5],"on":[6,65],"an":[7,25,50],"empirical":[8,19,79],"survival":[9,20,80],"error":[10,21,26,37,81],"potential":[11,22,75],"function":[12,23],"is":[13,40,54,62],"proposed":[14,78],"in":[15],"this":[16],"paper.":[17],"The":[18,56],"provides":[24],"compensation":[27,38,83],"for":[29,85],"noise":[30],"distributions":[31],"far":[32],"from":[33],"being":[34],"Gaussian.":[35],"This":[36],"procedure":[39],"efficiently":[41],"implemented":[42],"via":[43],"a":[44],"formulation":[48],"where":[49,70],"analytical":[51],"solution":[52],"form":[53],"obtained.":[55],"performance":[57],"of":[58,76],"the":[59,71,77],"developed":[60],"extensively":[63],"tested":[64],"16":[66],"benchmark":[67],"data":[68],"sets":[69],"results":[72],"show":[73],"promising":[74],"distribution":[82],"binary":[86],"pattern":[87],"classification.":[88]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}