{"id":"https://openalex.org/W2093582341","doi":"https://doi.org/10.1109/ciss.2013.6552314","title":"Robust sparse embedding and reconstruction via dictionary learning","display_name":"Robust sparse embedding and reconstruction via dictionary learning","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2093582341","doi":"https://doi.org/10.1109/ciss.2013.6552314","mag":"2093582341"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2013.6552314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","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/A5042922973","display_name":"Konstantinos Slavakis","orcid":"https://orcid.org/0000-0002-3370-3154"},"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":true,"raw_author_name":"Konstantinos Slavakis","raw_affiliation_strings":["Digital Technology Center, University of Minnesota, USA","Digital Technol. Center, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Digital Technology Center, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Digital Technol. Center, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"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":"Georgios B. Giannakis","raw_affiliation_strings":["Digital Technology Center, University of Minnesota, USA","Digital Technol. Center, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Digital Technology Center, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Digital Technol. Center, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089101522","display_name":"Geert Leus","orcid":"https://orcid.org/0000-0001-8288-867X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert Leus","raw_affiliation_strings":["Delft University of Technology, Netherlands","Delft University of Technology, Delft, Netherlands;"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands;","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042922973"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.7047,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73169774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/affine-transformation","display_name":"Affine transformation","score":0.7309413552284241},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7214860916137695},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.676201343536377},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6319987177848816},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6249198317527771},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5802110433578491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5519100427627563},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5169965028762817},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4799613952636719},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.4764997363090515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4532214403152466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4260128140449524},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4153311550617218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3768356442451477},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11576932668685913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10592159628868103}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7309413552284241},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7214860916137695},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.676201343536377},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6319987177848816},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6249198317527771},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5802110433578491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519100427627563},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5169965028762817},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4799613952636719},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.4764997363090515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4532214403152466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260128140449524},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4153311550617218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3768356442451477},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11576932668685913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10592159628868103},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2013.6552314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.4496","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.4496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ens.ewi.tudelft.nl/pubs/leus13ciss.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W88657458","https://openalex.org/W163225181","https://openalex.org/W1602685203","https://openalex.org/W1890834058","https://openalex.org/W1986736933","https://openalex.org/W1997516668","https://openalex.org/W2007371521","https://openalex.org/W2030115031","https://openalex.org/W2098316308","https://openalex.org/W2105464873","https://openalex.org/W2110880775","https://openalex.org/W2126918862","https://openalex.org/W2129812935","https://openalex.org/W2151106956","https://openalex.org/W2157872906","https://openalex.org/W2171033594","https://openalex.org/W2296399167","https://openalex.org/W4285719527","https://openalex.org/W6603627103","https://openalex.org/W6678810943","https://openalex.org/W6682394296","https://openalex.org/W6683194942","https://openalex.org/W7034449035"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W2931531042","https://openalex.org/W2166963679"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2],"is":[3,25,64,81],"developed":[4],"for":[5],"nonlinear":[6],"compression":[7],"and":[8,40,57,73,97,103],"reconstruction":[9],"of":[10,53],"high-":[11],"or":[12],"even":[13],"infinite-dimensional":[14],"signals":[15],"living":[16],"on":[17,83],"a":[18],"smooth":[19],"but":[20],"otherwise":[21],"unknown":[22],"manifold.":[23],"Compression":[24],"effected":[26],"through":[27],"affine":[28,55],"embeddings":[29,34],"to":[30,67,77,100],"lower-dimensional":[31],"spaces.":[32],"These":[33],"are":[35],"obtained":[36],"via":[37],"linear":[38,71],"regression":[39],"bilinear":[41],"dictionary":[42],"learning":[43],"algorithms":[44],"that":[45],"leverage":[46],"manifold":[47],"smoothness":[48],"as":[49,51],"well":[50],"sparsity":[52],"the":[54,94],"model":[56],"its":[58],"residuals.":[59],"The":[60],"emergent":[61],"unifying":[62],"framework":[63],"general":[65],"enough":[66],"encompass":[68],"known":[69],"locally":[70],"embedding":[72],"compressive":[74],"sampling":[75],"approaches":[76],"dimensionality":[78],"reduction.":[79],"Emphasis":[80],"placed":[82],"reconstructing":[84],"high-dimensional":[85],"data":[86],"from":[87],"their":[88,98],"low-dimensional":[89],"embeddings.":[90],"Preliminary":[91],"tests":[92],"demonstrate":[93],"analytical":[95],"claims,":[96],"potential":[99],"(de)compressing":[101],"synthetic":[102],"real":[104],"data.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
