{"id":"https://openalex.org/W2626361187","doi":"https://doi.org/10.1109/tnnls.2017.2705222","title":"Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification","display_name":"Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2626361187","doi":"https://doi.org/10.1109/tnnls.2017.2705222","mag":"2626361187","pmid":"https://pubmed.ncbi.nlm.nih.gov/28622676"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2705222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2705222","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067450721","display_name":"Weiwei Shi","orcid":"https://orcid.org/0000-0001-8820-8970"},"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":"Weiwei Shi","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8820-8970","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"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":"Yihong Gong","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053749425","display_name":"Xiaoyu Tao","orcid":"https://orcid.org/0000-0003-3328-5412"},"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":"Xiaoyu Tao","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"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":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.3091,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9332688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"7","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"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/softmax-function","display_name":"Softmax function","score":0.8588944673538208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947512626647949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6642319560050964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519999504089355},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6311476826667786},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6229773163795471},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5087774395942688},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5006160736083984},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4671223759651184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3945348858833313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28233450651168823}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8588944673538208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947512626647949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6642319560050964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519999504089355},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6311476826667786},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6229773163795471},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5087774395942688},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5006160736083984},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4671223759651184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945348858833313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28233450651168823},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2017.2705222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2705222","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28622676","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28622676","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5935354474","display_name":null,"funder_award_id":"61332018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W110866430","https://openalex.org/W178840006","https://openalex.org/W639274388","https://openalex.org/W639708223","https://openalex.org/W1487583988","https://openalex.org/W1514027499","https://openalex.org/W1524416683","https://openalex.org/W1567302070","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1905307128","https://openalex.org/W1923967535","https://openalex.org/W1954643962","https://openalex.org/W1963980798","https://openalex.org/W1966385142","https://openalex.org/W1974647172","https://openalex.org/W1981613567","https://openalex.org/W1985583020","https://openalex.org/W1994002998","https://openalex.org/W2010181071","https://openalex.org/W2019034316","https://openalex.org/W2025341678","https://openalex.org/W2027922120","https://openalex.org/W2029517229","https://openalex.org/W2031489346","https://openalex.org/W2045610202","https://openalex.org/W2048335335","https://openalex.org/W2062118960","https://openalex.org/W2066650804","https://openalex.org/W2069421937","https://openalex.org/W2088049833","https://openalex.org/W2097018403","https://openalex.org/W2097117768","https://openalex.org/W2108013467","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2120419212","https://openalex.org/W2126761607","https://openalex.org/W2127409454","https://openalex.org/W2139667220","https://openalex.org/W2155803963","https://openalex.org/W2155893237","https://openalex.org/W2161381512","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2165238043","https://openalex.org/W2170426384","https://openalex.org/W2172231696","https://openalex.org/W2179352600","https://openalex.org/W2186500555","https://openalex.org/W2187726011","https://openalex.org/W2194775991","https://openalex.org/W2296447001","https://openalex.org/W2397746618","https://openalex.org/W2472986212","https://openalex.org/W2483850719","https://openalex.org/W2520049838","https://openalex.org/W2520858298","https://openalex.org/W2524137671","https://openalex.org/W2534457893","https://openalex.org/W2613718673","https://openalex.org/W2715319929","https://openalex.org/W2962835968","https://openalex.org/W2963173190","https://openalex.org/W2963346784","https://openalex.org/W2963542991","https://openalex.org/W2963745697","https://openalex.org/W3024853581","https://openalex.org/W3125882365","https://openalex.org/W4232730838","https://openalex.org/W4240933404","https://openalex.org/W6620505860","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639835855","https://openalex.org/W6640412524","https://openalex.org/W6653248861","https://openalex.org/W6674642818","https://openalex.org/W6676338569","https://openalex.org/W6680575119","https://openalex.org/W6682859755","https://openalex.org/W6684100978","https://openalex.org/W6684191040","https://openalex.org/W6686844297"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W2982889384","https://openalex.org/W4226227567","https://openalex.org/W2971218105","https://openalex.org/W4287113729","https://openalex.org/W3173314472","https://openalex.org/W2899027234","https://openalex.org/W3120400911"],"abstract_inverted_index":{"In":[0],"this":[1,110],"paper,":[2],"we":[3,119],"build":[4],"a":[5,10,19,59,86,183],"multilabel":[6,69,156,190],"image":[7,191],"classifier":[8],"using":[9,114],"general":[11],"deep":[12],"convolutional":[13],"neural":[14],"network":[15],"(DCNN).":[16],"We":[17],"propose":[18],"novel":[20],"objective":[21,38,79,174],"function":[22,175],"that":[23,41,171],"consists":[24],"of":[25,45,55,67,98,113,134,182,189],"three":[26],"parts,":[27],"i.e.,":[28,164],"max-margin":[29,37],"objective,":[30,32],"max-correlation":[31,78],"and":[33,102,152,168],"correntropy":[34,122],"loss.":[35],"The":[36,77,138],"explicitly":[39],"enforces":[40],"the":[42,52,68,74,82,92,95,99,115,121,125,131,135,172,179,187],"minimum":[43],"score":[44,54],"positive":[46],"labels":[47,57],"must":[48],"be":[49,142],"larger":[50],"than":[51],"maximum":[53],"negative":[56],"by":[58],"predefined":[60],"margin,":[61],"which":[62,90],"not":[63],"only":[64],"improves":[65],"accuracies":[66,181],"classifier,":[70],"but":[71],"also":[72],"eases":[73],"threshold":[75],"determination.":[76],"can":[80,141,176],"make":[81],"DCNN":[83,136,162,184],"model":[84,185],"learn":[85],"latent":[87],"semantic":[88],"space,":[89],"maximizes":[91],"correlations":[93],"between":[94],"feature":[96],"vectors":[97,107],"training":[100,132],"samples":[101],"their":[103],"corresponding":[104],"ground-truth":[105],"label":[106],"projected":[108],"into":[109],"space.":[111],"Instead":[112],"traditional":[116],"softmax":[117],"loss,":[118],"adopt":[120],"loss":[123],"from":[124],"information":[126],"theory":[127],"field":[128],"to":[129],"minimize":[130],"errors":[133],"model.":[137],"proposed":[139,173],"framework":[140],"end-to-end":[143],"trained.":[144],"Comprehensive":[145],"experimental":[146],"evaluations":[147],"on":[148],"Pascal":[149],"VOC":[150],"2007":[151],"MIR":[153],"Flickr":[154],"25K":[155],"benchmark":[157],"data":[158],"sets":[159],"with":[160],"four":[161],"models,":[163],"AlexNet,":[165],"VGG-16,":[166],"GoogLeNet,":[167],"ResNet":[169],"demonstrate":[170],"remarkably":[177],"improve":[178],"performance":[180],"for":[186],"task":[188],"classification.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
