{"id":"https://openalex.org/W3013546802","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048763","title":"Optimizing a Compressive Imager for Machine Learning Tasks","display_name":"Optimizing a Compressive Imager for Machine Learning Tasks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013546802","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048763","mag":"3013546802"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1643088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032093490","display_name":"Brian J. Redman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian J. Redman","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056142255","display_name":"Daniel Calzada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Calzada","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076261318","display_name":"Jamie Wingo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Wingo","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029445276","display_name":"Tu-Thach Quach","orcid":"https://orcid.org/0000-0002-6992-8988"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tu-Thach Quach","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020952155","display_name":"Meghan Galiardi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meghan Galiardi","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087564775","display_name":"Amber L. Dagel","orcid":"https://orcid.org/0000-0002-5882-1640"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amber L. Dagel","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072238802","display_name":"Charles F. LaCasse","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles F. LaCasse","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109361320","display_name":"Gabriel C. Birch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel C. Birch","raw_affiliation_strings":["Sandia National Laboratories,Albuquerque,USA","Sandia National Laboratories, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories,Albuquerque,USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, USA","institution_ids":["https://openalex.org/I4210104735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5032093490"],"corresponding_institution_ids":["https://openalex.org/I4210104735"],"apc_list":null,"apc_paid":null,"fwci":0.0992,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47106436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1000","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9998999834060669,"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/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.9991999864578247,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/mnist-database","display_name":"MNIST database","score":0.895609974861145},{"id":"https://openalex.org/keywords/prism","display_name":"Prism","score":0.7912890911102295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314980626106262},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6025615930557251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586082339286804},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5503163933753967},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5234284400939941},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4611307680606842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4140716791152954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40508005023002625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12671688199043274},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09969183802604675},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09763222932815552}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.895609974861145},{"id":"https://openalex.org/C67666897","wikidata":"https://www.wikidata.org/wiki/Q165896","display_name":"Prism","level":2,"score":0.7912890911102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314980626106262},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6025615930557251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586082339286804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5503163933753967},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5234284400939941},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4611307680606842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4140716791152954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40508005023002625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12671688199043274},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09969183802604675},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09763222932815552},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1643088","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1643088","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1643430","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1643430","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1643088","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1643088","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1613249581","https://openalex.org/W1963626748","https://openalex.org/W2102129292","https://openalex.org/W2110880775","https://openalex.org/W2111406701","https://openalex.org/W2124136621","https://openalex.org/W2135046866","https://openalex.org/W2889812370","https://openalex.org/W2946533291","https://openalex.org/W2972825750","https://openalex.org/W6636456564"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W3011821305"],"abstract_inverted_index":{"Images":[0],"are":[1,95],"often":[2],"not":[3],"the":[4,21,31,71,76,80],"optimal":[5],"data":[6],"form":[7],"to":[8,66],"perform":[9],"machine":[10],"learning":[11],"tasks":[12],"such":[13],"as":[14],"scene":[15],"classification.":[16],"Compressive":[17],"classification":[18,36,68],"can":[19],"reduce":[20],"size,":[22],"weight,":[23],"and":[24,43],"power":[25],"of":[26,45,70,82,92],"a":[27,53,62,90],"system":[28],"by":[29,79],"selecting":[30],"minimum":[32],"information":[33],"while":[34,74],"maximizing":[35],"accuracy.In":[37],"this":[38],"work":[39],"we":[40],"present":[41],"designs":[42],"simulations":[44],"prism":[46,93],"arrays":[47],"which":[48],"realize":[49],"sensing":[50,57],"matrices":[51],"using":[52,61],"monolithic":[54],"element.":[55],"The":[56],"matrix":[58],"is":[59],"optimized":[60],"neural":[63],"network":[64],"architecture":[65],"maximize":[67],"accuracy":[69],"MNIST":[72],"dataset":[73],"considering":[75],"blurring":[77],"caused":[78],"size":[81],"each":[83],"prism.":[84],"Simulated":[85],"optical":[86],"hardware":[87],"performance":[88],"for":[89],"range":[91],"sizes":[94],"reported.":[96]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
