{"id":"https://openalex.org/W2899181597","doi":"https://doi.org/10.1109/mlsp.2018.8517051","title":"MULTICLASS SVM WITH HIERARCHICAL INTERACTION: APPLICATION TO FACE CLASSIFICATION","display_name":"MULTICLASS SVM WITH HIERARCHICAL INTERACTION: APPLICATION TO FACE CLASSIFICATION","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2899181597","doi":"https://doi.org/10.1109/mlsp.2018.8517051","mag":"2899181597"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2018.8517051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2018.8517051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017257056","display_name":"Mingyuan Jiu","orcid":"https://orcid.org/0000-0002-4868-0709"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyuan Jiu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074166239","display_name":"Nelly Pustelnik","orcid":"https://orcid.org/0000-0001-7310-1927"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nelly Pustelnik","raw_affiliation_strings":["CNRS, Laboratoire de Physique, Univ Lyon, Ens de Lyon, Univ Lyon 1, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Laboratoire de Physique, Univ Lyon, Ens de Lyon, Univ Lyon 1, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659446","display_name":"Lin Qi","orcid":"https://orcid.org/0009-0009-6210-2065"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9907000064849854,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7231267690658569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6671279668807983},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6631201505661011},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6519181728363037},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5881457328796387},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5677898526191711},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5184654593467712},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5172463059425354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4511021673679352},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.44515544176101685},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4179907441139221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17059192061424255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231267690658569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671279668807983},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6631201505661011},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6519181728363037},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5881457328796387},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5677898526191711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5184654593467712},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5172463059425354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4511021673679352},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.44515544176101685},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4179907441139221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17059192061424255},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2018.8517051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2018.8517051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","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":42,"referenced_works":["https://openalex.org/W144800816","https://openalex.org/W205960364","https://openalex.org/W322738573","https://openalex.org/W1539012881","https://openalex.org/W1748889858","https://openalex.org/W1922442141","https://openalex.org/W1976114481","https://openalex.org/W1994309289","https://openalex.org/W1998991750","https://openalex.org/W2006262045","https://openalex.org/W2028350189","https://openalex.org/W2037559873","https://openalex.org/W2052629792","https://openalex.org/W2063764530","https://openalex.org/W2072072671","https://openalex.org/W2072925128","https://openalex.org/W2092663520","https://openalex.org/W2093545205","https://openalex.org/W2100556411","https://openalex.org/W2101432452","https://openalex.org/W2114423093","https://openalex.org/W2124225314","https://openalex.org/W2128685318","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2138265962","https://openalex.org/W2248299741","https://openalex.org/W2553119673","https://openalex.org/W3025107628","https://openalex.org/W3099503819","https://openalex.org/W3102129059","https://openalex.org/W3102650760","https://openalex.org/W4205213118","https://openalex.org/W4229650096","https://openalex.org/W4288108337","https://openalex.org/W6605830872","https://openalex.org/W6632282575","https://openalex.org/W6637196363","https://openalex.org/W6678356451","https://openalex.org/W6680156768","https://openalex.org/W6691341700","https://openalex.org/W6786257268"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2026999166","https://openalex.org/W2090763504","https://openalex.org/W1996802783","https://openalex.org/W2039745824","https://openalex.org/W3157224608","https://openalex.org/W2623163150","https://openalex.org/W2186666570","https://openalex.org/W4247599326"],"abstract_inverted_index":{"Standard":[0],"classification":[1,85],"models":[2],"are":[3,21],"usually":[4],"additive":[5],"models,":[6],"which":[7],"only":[8,31],"consider":[9],"the":[10,13,19,24,37,58,62,75,88,93],"contributions":[11],"from":[12],"main":[14,59],"effects":[15,60],"of":[16],"features.":[17,41],"When":[18],"features":[20,27],"highly":[22],"correlated,":[23],"interactions":[25],"between":[26,40],"provide":[28],"us":[29],"not":[30],"more":[32],"additional":[33],"features,":[34],"but":[35],"also":[36],"underlying":[38],"graphs":[39],"In":[42],"this":[43],"paper,":[44],"we":[45],"integrate":[46],"into":[47],"multiclass":[48],"SVM":[49],"a":[50],"strong":[51],"hierarchy":[52],"regularization":[53],"in":[54],"order":[55],"to":[56,73,83],"learn":[57],"and":[61,92],"interactions.":[63],"A":[64],"primal-dual":[65],"proximal":[66],"algorithm":[67,80],"with":[68],"epigraphical":[69],"projection":[70],"is":[71,81],"proposed":[72,79],"minimize":[74],"objective":[76],"function.":[77],"The":[78],"applied":[82],"face":[84],"task":[86],"on":[87],"Extended":[89],"YaleB":[90],"database":[91],"results":[94],"validate":[95],"its":[96],"effectiveness.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}