{"id":"https://openalex.org/W2058885146","doi":"https://doi.org/10.1109/isit.2010.5513420","title":"Optimal incorporation of sparsity information by weighted &amp;#x2113;&lt;inf&gt;1&lt;/inf&gt; optimization","display_name":"Optimal incorporation of sparsity information by weighted &amp;#x2113;&lt;inf&gt;1&lt;/inf&gt; optimization","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2058885146","doi":"https://doi.org/10.1109/isit.2010.5513420","mag":"2058885146"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2010.5513420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1001.1873","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014391514","display_name":"Toshiyuki Tanaka","orcid":"https://orcid.org/0000-0001-5962-9119"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshiyuki Tanaka","raw_affiliation_strings":["Graduate School of Informatics, University of Kyoto, Kyoto, Japan","Graduate School of Informatics, University of Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, University of Kyoto, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071"]},{"raw_affiliation_string":"Graduate School of Informatics, University of Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034139385","display_name":"Jack Raymond","orcid":"https://orcid.org/0000-0002-1808-6039"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jack Raymond","raw_affiliation_strings":["Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China","Department of Physics, Hong Kong University of Science & Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Physics, Hong Kong University of Science & Technology, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014391514"],"corresponding_institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"],"apc_list":null,"apc_paid":null,"fwci":2.7668,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90325008,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"1598","last_page":"1602"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9991000294685364,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7626271843910217},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.7205322980880737},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6213019490242004},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.597739040851593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5442723035812378},{"id":"https://openalex.org/keywords/prior-information","display_name":"Prior information","score":0.47380298376083374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46673783659935},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4616725444793701},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.44962483644485474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3045066297054291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2782912850379944},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09965813159942627}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7626271843910217},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.7205322980880737},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6213019490242004},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.597739040851593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5442723035812378},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.47380298376083374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46673783659935},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4616725444793701},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.44962483644485474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3045066297054291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2782912850379944},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09965813159942627},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2010.5513420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1001.1873","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1001.1873","pdf_url":"https://arxiv.org/pdf/1001.1873","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1001.1873","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1001.1873","pdf_url":"https://arxiv.org/pdf/1001.1873","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1527520754","https://openalex.org/W1643866620","https://openalex.org/W1991904924","https://openalex.org/W2015860231","https://openalex.org/W2090842051","https://openalex.org/W2107861471","https://openalex.org/W2115275122","https://openalex.org/W2116394223","https://openalex.org/W2129131372","https://openalex.org/W2130385631","https://openalex.org/W2139053635","https://openalex.org/W2141433180","https://openalex.org/W2142374996","https://openalex.org/W2161765392","https://openalex.org/W2211290501","https://openalex.org/W2296616510","https://openalex.org/W2950581048","https://openalex.org/W3121195152","https://openalex.org/W4250955649","https://openalex.org/W6636616396","https://openalex.org/W6673293446","https://openalex.org/W6679379634","https://openalex.org/W6681189096"],"related_works":["https://openalex.org/W2208932071","https://openalex.org/W2963355149","https://openalex.org/W3204600224","https://openalex.org/W2613950060","https://openalex.org/W2624164683","https://openalex.org/W2558840726","https://openalex.org/W3213951060","https://openalex.org/W2308961925","https://openalex.org/W2731951721","https://openalex.org/W2409319478"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"of":[2,12,25],"sparse":[3],"sources":[4],"can":[5,47],"be":[6,48],"improved":[7],"by":[8],"incorporating":[9],"prior":[10],"knowledge":[11],"the":[13,42],"source.":[14],"In":[15],"this":[16],"paper":[17],"we":[18],"demonstrate":[19],"a":[20,36],"method":[21],"for":[22,35],"optimal":[23],"selection":[24],"weights":[26],"in":[27,44],"weighted":[28],"\u2113":[29],"<sub":[30],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[32],"norm":[33],"minimization":[34],"noiseless":[37],"reconstruction":[38],"model,":[39],"and":[40],"show":[41],"improvements":[43],"compression":[45],"that":[46],"achieved.":[49]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}