{"id":"https://openalex.org/W4375869331","doi":"https://doi.org/10.1109/icassp49357.2023.10095099","title":"Robust Autoencoders for Collective Corruption Removal","display_name":"Robust Autoencoders for Collective Corruption Removal","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869331","doi":"https://doi.org/10.1109/icassp49357.2023.10095099"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095099","doi":"https://doi.org/10.1109/icassp49357.2023.10095099","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095099","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"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":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.02828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075755051","display_name":"Taihui Li","orcid":"https://orcid.org/0000-0002-3758-8923","observed_orcids":["https://orcid.org/0000-0002-3758-8923"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taihui Li","raw_affiliation_strings":["University of Minnesota,Computer Science and Engineering,Minneapolis,USA","Computer Science and Engineering, University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Computer Science and Engineering,Minneapolis,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035240743","display_name":"Hengkang Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengkang Wang","raw_affiliation_strings":["University of Minnesota,Computer Science and Engineering,Minneapolis,USA","Computer Science and Engineering, University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Computer Science and Engineering,Minneapolis,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048941658","display_name":"Le Peng","orcid":"https://orcid.org/0000-0001-5728-5965","observed_orcids":["https://orcid.org/0000-0001-5728-5965"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Peng","raw_affiliation_strings":["University of Minnesota,Computer Science and Engineering,Minneapolis,USA","Computer Science and Engineering, University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Computer Science and Engineering,Minneapolis,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112912497","display_name":"Xian\u2019e Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xian\u2019e Tang","raw_affiliation_strings":["University of Minnesota Duluth,Computer Science,Duluth,USA","Computer Science, University of Minnesota Duluth, Duluth, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota Duluth,Computer Science,Duluth,USA","institution_ids":["https://openalex.org/I4210115145"]},{"raw_affiliation_string":"Computer Science, University of Minnesota Duluth, Duluth, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011253128","display_name":"Ju Sun","orcid":"https://orcid.org/0000-0002-2017-5903","observed_orcids":["https://orcid.org/0000-0002-2017-5903"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ju Sun","raw_affiliation_strings":["University of Minnesota,Computer Science and Engineering,Minneapolis,USA","Computer Science and Engineering, University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Computer Science and Engineering,Minneapolis,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10798937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3307","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.44119998812675476,"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":0.44119998812675476,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.36739999055862427,"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/T10057","display_name":"Face and Expression Recognition","score":0.08179999887943268,"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/robust-pca","display_name":"robust principal component analysis","score":0.8679999709129333},{"id":"https://openalex.org/keywords/manifold-learning","display_name":"manifold learning","score":0.8830000162124634},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.5849999785423279},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.7170000076293945},{"id":"https://openalex.org/keywords/generalization-to-unseen-data","display_name":"generalization to unseen data","score":0.6909999847412109}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045446038246155},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6619205474853516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415622591972351},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5315760374069214},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5090746283531189},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.46777668595314026},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46324244141578674},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.42235642671585083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3744189441204071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3487224578857422},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.14587262272834778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08981060981750488},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07329744100570679},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095099","doi":"https://doi.org/10.1109/icassp49357.2023.10095099","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095099","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"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":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.02828","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.02828","pdf_url":"https://arxiv.org/pdf/2303.02828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2303.02828","doi":"https://doi.org/10.48550/arxiv.2303.02828","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.02828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.02828","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.02828","pdf_url":"https://arxiv.org/pdf/2303.02828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4375869331.pdf","grobid_xml":"https://content.openalex.org/works/W4375869331.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1506013575","https://openalex.org/W2003753589","https://openalex.org/W2078626246","https://openalex.org/W2116216716","https://openalex.org/W2122090912","https://openalex.org/W2122374500","https://openalex.org/W2133665775","https://openalex.org/W2145962650","https://openalex.org/W2194775991","https://openalex.org/W2489822048","https://openalex.org/W2608948251","https://openalex.org/W2743138268","https://openalex.org/W2789612570","https://openalex.org/W2963108975","https://openalex.org/W2971284650","https://openalex.org/W2990337753","https://openalex.org/W3123369124","https://openalex.org/W3132849585","https://openalex.org/W4226096164","https://openalex.org/W4292363360","https://openalex.org/W4386416846","https://openalex.org/W4411244922"],"related_works":["https://openalex.org/W2936872647","https://openalex.org/W2620032311","https://openalex.org/W2608948251","https://openalex.org/W2094061339","https://openalex.org/W7043231803","https://openalex.org/W2025768430","https://openalex.org/W1617415790","https://openalex.org/W4416252192","https://openalex.org/W2965087251","https://openalex.org/W2913812556"],"abstract_inverted_index":{"Robust":[0],"PCA":[1,45],"is":[2],"a":[3,8,61],"standard":[4,79],"tool":[5],"for":[6,30,99],"learning":[7,23],"linear":[9],"subspace":[10],"in":[11,91],"the":[12,67,83,106],"presence":[13],"of":[14],"sparse":[15,94],"corruption":[16],"or":[17],"rare":[18],"outliers.":[19],"What":[20],"about":[21],"robustly":[22],"manifolds":[24],"that":[25,69,82,105],"are":[26],"more":[27],"realistic":[28],"models":[29],"natural":[31],"data,":[32],"such":[33],"as":[34],"images?":[35],"There":[36],"have":[37],"been":[38],"several":[39,78],"recent":[40],"attempts":[41],"to":[42,46,113],"generalize":[43],"robust":[44],"manifold":[47,73,108],"settings.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,102],"propose":[53],"\u21131-":[54],"and":[55],"scaling-invariant":[56],"\u21131/\u21132-robust":[57],"autoencoders":[58,71],"based":[59],"on":[60,66,77],"surprisingly":[62],"compact":[63],"formulation":[64,85],"built":[65],"intuition":[68],"deep":[70],"perform":[72],"learning.":[74],"We":[75],"demonstrate":[76],"image":[80],"datasets":[81],"proposed":[84],"significantly":[86],"outperforms":[87],"all":[88],"previous":[89],"methods":[90],"collectively":[92],"removing":[93],"corruption,":[95],"without":[96],"clean":[97],"images":[98],"training.":[100],"Moreover,":[101],"also":[103],"show":[104],"learned":[107],"structures":[109],"can":[110],"be":[111],"generalized":[112],"unseen":[114],"data":[115],"samples":[116],"effectively.":[117]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-05-10T00:00:00"}