{"id":"https://openalex.org/W2117986825","doi":"https://doi.org/10.1109/icpr.2008.4760953","title":"Prototype learning with margin-based conditional log-likelihood loss","display_name":"Prototype learning with margin-based conditional log-likelihood loss","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2117986825","doi":"https://doi.org/10.1109/icpr.2008.4760953","mag":"2117986825"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4760953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760953","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5011077051","display_name":"Xiaobo Jin","orcid":"https://orcid.org/0000-0003-1671-1379"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobo Jin","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","Nat. Lab of Pattern Recognition, Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Nat. Lab of Pattern Recognition, Chinese Acad. of Sci., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006756135","display_name":"Chenglin","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China","Nat. Lab of Pattern Recognition, Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Nat. Lab of Pattern Recognition, Chinese Acad. of Sci., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110215263","display_name":"Liu Xinwen Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Xinwen Hou","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011077051"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":1.2949,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73768737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9955999851226807,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9943000078201294,"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/learning-vector-quantization","display_name":"Learning vector quantization","score":0.8309435248374939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140025854110718},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5754319429397583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5595457553863525},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5013399124145508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4672645926475525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4582973122596741},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44434696435928345},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42111724615097046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39014768600463867},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.350536048412323}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.8309435248374939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140025854110718},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5754319429397583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595457553863525},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5013399124145508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4672645926475525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4582973122596741},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44434696435928345},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42111724615097046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39014768600463867},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.350536048412323},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4760953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760953","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.1512","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.1512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoAT2.2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1530582330","https://openalex.org/W1982032418","https://openalex.org/W2023935830","https://openalex.org/W2063541597","https://openalex.org/W2109993655","https://openalex.org/W2123749980","https://openalex.org/W2134969019","https://openalex.org/W2146077544","https://openalex.org/W6631383626","https://openalex.org/W6678524678","https://openalex.org/W6681429078"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W2142248489","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W1530525041","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072"],"abstract_inverted_index":{"The":[0,60],"classification":[1,24],"performance":[2],"of":[3,39,47,69,87],"nearest":[4,108],"prototype":[5,11,32,109],"classifiers":[6],"largely":[7],"relies":[8],"on":[9,36,83],"the":[10,16,22,37,77,92,99,101,106],"learning":[12,17,33],"algorithms,":[13],"such":[14],"as":[15],"vector":[18],"quantization":[19],"(LVQ)":[20],"and":[21,71,105],"minimum":[23],"error":[25],"(MCE).":[26],"This":[27],"paper":[28],"proposes":[29],"a":[30,40,66,84],"new":[31],"algorithm":[34,94],"based":[35],"minimization":[38],"conditional":[41],"log-likelihood":[42,46],"loss":[43,62],"(CLL),":[44],"called":[45],"margin":[48],"(LOGM).":[49],"A":[50],"regularization":[51],"term":[52],"is":[53,65],"added":[54],"to":[55],"avoid":[56],"over-fitting":[57],"in":[58,63],"training.":[59],"CLL":[61],"LOGM":[64],"convex":[67],"function":[68],"margin,":[70],"so,":[72],"gives":[73],"better":[74],"convergence":[75],"than":[76,98],"MCE":[78],"algorithm.":[79],"Our":[80],"empirical":[81],"study":[82],"large":[85],"suite":[86],"benchmark":[88],"datasets":[89],"demonstrates":[90],"that":[91],"proposed":[93],"yields":[95],"higher":[96],"accuracies":[97],"MCE,":[100],"generalized":[102],"LVQ":[103],"(GLVQ),":[104],"soft":[107],"classifier":[110],"(SNPC).":[111]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}