{"id":"https://openalex.org/W2756464380","doi":"https://doi.org/10.1109/icip.2017.8296791","title":"Learning optimal parameters for binary sensing image reconstruction algorithms","display_name":"Learning optimal parameters for binary sensing image reconstruction algorithms","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756464380","doi":"https://doi.org/10.1109/icip.2017.8296791","mag":"2756464380"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5108084781","display_name":"Ren\u00e1n Rojas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144718","display_name":"Universidad de Ingenier\u00eda y Tecnolog\u00eda","ror":"https://ror.org/040gykh71","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210144718"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Renan A. Rojas","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Ingenier\u00eda y Tecnolog\u00eda, Lima, Per\u00fa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Ingenier\u00eda y Tecnolog\u00eda, Lima, Per\u00fa","institution_ids":["https://openalex.org/I4210144718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046031556","display_name":"Wangyu Luo","orcid":"https://orcid.org/0000-0002-3340-0401"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wangyu Luo","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055403028","display_name":"V\u00edctor Murray","orcid":"https://orcid.org/0000-0002-6000-3380"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]},{"id":"https://openalex.org/I4210144718","display_name":"Universidad de Ingenier\u00eda y Tecnolog\u00eda","ror":"https://ror.org/040gykh71","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210144718"]}],"countries":["PE","US"],"is_corresponding":false,"raw_author_name":"Victor Murray","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Ingenier\u00eda y Tecnolog\u00eda, Lima, Per\u00fa","Department of Electrical and Computer Engineering, University of New Mexico, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Ingenier\u00eda y Tecnolog\u00eda, Lima, Per\u00fa","institution_ids":["https://openalex.org/I4210144718"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038111389","display_name":"Yue M. Lu","orcid":"https://orcid.org/0000-0002-5174-2595"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue M. Lu","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.482,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80752978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2791","last_page":"2795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9959999918937683,"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/T10320","display_name":"Neural Networks and Applications","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6928356289863586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770923137664795},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6594854593276978},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6501380205154419},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6476478576660156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5997658371925354},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.550730288028717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5473071932792664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43764933943748474},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4241783618927002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3462519943714142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18800142407417297}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6928356289863586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770923137664795},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6594854593276978},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6501380205154419},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6476478576660156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5997658371925354},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.550730288028717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5473071932792664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43764933943748474},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4241783618927002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3462519943714142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18800142407417297},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2003410902","https://openalex.org/W2011033410","https://openalex.org/W2021262032","https://openalex.org/W2056370875","https://openalex.org/W2080452423","https://openalex.org/W2090115925","https://openalex.org/W2097160319","https://openalex.org/W2100705753","https://openalex.org/W2103559027","https://openalex.org/W2107507812","https://openalex.org/W2118103795","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2148825261","https://openalex.org/W2163353827","https://openalex.org/W2164278908","https://openalex.org/W2220485312","https://openalex.org/W2245381360","https://openalex.org/W2555008653","https://openalex.org/W2963027389","https://openalex.org/W3100774664","https://openalex.org/W3118608800","https://openalex.org/W4292363360","https://openalex.org/W6674614461","https://openalex.org/W6677645113","https://openalex.org/W6681723013","https://openalex.org/W6690654498","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W2149286509","https://openalex.org/W2151924555"],"abstract_inverted_index":{"A":[0],"novel":[1],"data-driven":[2],"reconstruction":[3,19],"algorithm":[4],"for":[5],"quantum":[6],"image":[7],"sensors":[8],"is":[9],"proposed.":[10],"Binary":[11],"observations":[12],"are":[13,29],"efficiently":[14],"decoded":[15],"by":[16],"modeling":[17],"the":[18,38,74,77],"structure":[20,39],"as":[21],"a":[22,35,46,56],"two-layer":[23],"neural":[24],"network,":[25],"where":[26],"optimal":[27],"coefficients":[28],"obtained":[30],"via":[31],"error":[32],"backpropagation.":[33],"Such":[34],"model":[36],"encapsulates":[37],"of":[40,76],"state-of-the-art":[41],"algorithms,":[42],"yet":[43],"it":[44],"presents":[45],"considerably":[47],"faster":[48],"alternative":[49],"which":[50],"adapts":[51],"to":[52],"input":[53],"examples":[54],"without":[55],"priori":[57],"statistical":[58],"information.":[59],"Simulations":[60],"on":[61],"natural":[62],"and":[63],"synthetic":[64],"datasets":[65],"show":[66],"accurate":[67],"reconstructions":[68],"with":[69,73],"structural":[70],"similarities":[71],"consistent":[72],"state":[75],"art,":[78],"while":[79],"requiring":[80],"approximately":[81],"5":[82],"times":[83],"less":[84],"computational":[85],"cost.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
