{"id":"https://openalex.org/W2468261585","doi":"https://doi.org/10.1109/tip.2016.2588330","title":"Deep and Structured Robust Information Theoretic Learning for Image Analysis","display_name":"Deep and Structured Robust Information Theoretic Learning for Image Analysis","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2468261585","doi":"https://doi.org/10.1109/tip.2016.2588330","mag":"2468261585","pmid":"https://pubmed.ncbi.nlm.nih.gov/27392359"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2588330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2588330","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5082404485","display_name":"Yue Deng","orcid":"https://orcid.org/0000-0003-2871-8922"},"institutions":[{"id":"https://openalex.org/I4210110664","display_name":"University of California San Francisco Medical Center","ror":"https://ror.org/01t8svj65","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210110664"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yue Deng","raw_affiliation_strings":["San Francisco Medical Center, School of Medicine, University of California at San Francisco, San Francisco, CA, USA","Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2871-8922","affiliations":[{"raw_affiliation_string":"San Francisco Medical Center, School of Medicine, University of California at San Francisco, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210110664"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022735755","display_name":"Feng Bao","orcid":"https://orcid.org/0000-0002-5721-9551"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Bao","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102243107","display_name":"Xuesong Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Deng","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614962","display_name":"Ruiping Wang","orcid":"https://orcid.org/0000-0003-1830-2595"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiping Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008751186","display_name":"Youyong Kong","orcid":"https://orcid.org/0000-0003-2095-8470"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youyong Kong","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082404485"],"corresponding_institution_ids":["https://openalex.org/I4210110664","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.864,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96374994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"9","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7448419332504272},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7333240509033203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585823893547058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.630457878112793},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5233768224716187},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5158693194389343},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5033420920372009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4918525218963623},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46500810980796814},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43182259798049927},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4312129616737366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4108749330043793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.384027898311615}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7448419332504272},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7333240509033203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585823893547058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.630457878112793},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5233768224716187},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5158693194389343},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5033420920372009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4918525218963623},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46500810980796814},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43182259798049927},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4312129616737366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4108749330043793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.384027898311615}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2588330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2588330","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:27392359","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27392359","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1792797213","display_name":null,"funder_award_id":"61120106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G56223785","display_name":null,"funder_award_id":"61379083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6217526815","display_name":null,"funder_award_id":"BK20150650","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8883308132","display_name":null,"funder_award_id":"61327902","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1502638562","https://openalex.org/W1522547150","https://openalex.org/W1540598330","https://openalex.org/W1566135517","https://openalex.org/W1592941960","https://openalex.org/W1638753340","https://openalex.org/W1965891643","https://openalex.org/W1979204300","https://openalex.org/W2054902886","https://openalex.org/W2056283644","https://openalex.org/W2059278667","https://openalex.org/W2060933076","https://openalex.org/W2062227835","https://openalex.org/W2064733273","https://openalex.org/W2071207147","https://openalex.org/W2072182757","https://openalex.org/W2092348774","https://openalex.org/W2097482982","https://openalex.org/W2099111195","https://openalex.org/W2100235303","https://openalex.org/W2103496373","https://openalex.org/W2107034620","https://openalex.org/W2108687351","https://openalex.org/W2113606819","https://openalex.org/W2116801843","https://openalex.org/W2117539524","https://openalex.org/W2118246710","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2124940450","https://openalex.org/W2125874614","https://openalex.org/W2133893370","https://openalex.org/W2134670479","https://openalex.org/W2136573752","https://openalex.org/W2140804420","https://openalex.org/W2145494108","https://openalex.org/W2150606601","https://openalex.org/W2151103935","https://openalex.org/W2152516042","https://openalex.org/W2154579312","https://openalex.org/W2155490028","https://openalex.org/W2161969291","https://openalex.org/W2162854380","https://openalex.org/W2163112044","https://openalex.org/W2163584563","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2293363371","https://openalex.org/W2314967834","https://openalex.org/W2344786740","https://openalex.org/W2417420127","https://openalex.org/W2478708596","https://openalex.org/W2953360861","https://openalex.org/W2998216295","https://openalex.org/W3148981562","https://openalex.org/W4230920194","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W6632569011","https://openalex.org/W6635516332","https://openalex.org/W6676634215","https://openalex.org/W6676903177","https://openalex.org/W6677267524","https://openalex.org/W6679792166","https://openalex.org/W6681588610","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W7018611383","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W2129933262"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,34,38,111],"robust":[4],"information":[5,45],"theoretic":[6],"(RIT)":[7],"model":[8,29],"to":[9,31,87,110],"reduce":[10],"the":[11,43,52,65,80,89,128],"uncertainties,":[12],"i.e.,":[13],"missing":[14],"and":[15,37,48,74,82],"noisy":[16],"labels,":[17],"in":[18,51],"general":[19,57],"discriminative":[20,39],"data":[21,47,101],"representation":[22],"tasks.":[23],"The":[24,103],"fundamental":[25],"pursuit":[26],"of":[27,46,64],"our":[28],"is":[30,107],"simultaneously":[32],"learn":[33],"transformation":[35],"function":[36],"classifier":[40],"that":[41,122],"maximize":[42],"mutual":[44],"their":[49],"labels":[50],"latent":[53],"space.":[54],"In":[55,78],"this":[56],"paradigm,":[58],"we,":[59],"respectively,":[60],"discuss":[61],"three":[62],"types":[63],"RIT":[66,81,84,106],"implementations":[67],"with":[68],"linear":[69],"subspace":[70],"embedding,":[71],"deep":[72,83],"transformation,":[73],"structured":[75,104],"sparse":[76,105],"learning.":[77],"practice,":[79],"are":[85],"exploited":[86],"solve":[88],"image":[90,113,120],"categorization":[91],"task":[92,115],"whose":[93],"performances":[94],"will":[95],"be":[96],"verified":[97],"on":[98,127],"various":[99],"benchmark":[100],"sets.":[102],"further":[108],"applied":[109],"medical":[112],"analysis":[114],"for":[116],"brain":[117,129],"magnetic":[118],"resonance":[119],"segmentation":[121],"allows":[123],"group-level":[124],"feature":[125],"selections":[126],"tissues.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}