{"id":"https://openalex.org/W2007800360","doi":"https://doi.org/10.1109/icip.2013.6738102","title":"Kernel compressive sensing","display_name":"Kernel compressive sensing","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2007800360","doi":"https://doi.org/10.1109/icip.2013.6738102","mag":"2007800360"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5043966041","display_name":"Farhad Pourkamali\u2010Anaraki","orcid":"https://orcid.org/0000-0003-4078-1676"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farhad Pourkamali Anaraki","raw_affiliation_strings":["Department of Electrical Computer, and Energy Engineering, University of Colorado at Boulder","Dept. of Electr. Comput. & Energy Eng., Univ. of Colorado at Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer, and Energy Engineering, University of Colorado at Boulder","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Dept. of Electr. Comput. & Energy Eng., Univ. of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102132389","display_name":"Shannon M. Hughes","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shannon M. Hughes","raw_affiliation_strings":["Department of Electrical Computer, and Energy Engineering, University of Colorado at Boulder","Dept. of Electr. Comput. & Energy Eng., Univ. of Colorado at Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer, and Energy Engineering, University of Colorado at Boulder","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Dept. of Electr. Comput. & Energy Eng., Univ. of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1164,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85838929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"494","last_page":"498"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8744000792503357},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.6311787962913513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5855610966682434},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5690985918045044},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4886644184589386},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.45810389518737793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44748836755752563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3308262228965759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32044821977615356},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13018417358398438}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8744000792503357},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.6311787962913513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855610966682434},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5690985918045044},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4886644184589386},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.45810389518737793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44748836755752563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3308262228965759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32044821977615356},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13018417358398438},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1560724230","https://openalex.org/W1771150291","https://openalex.org/W1967277558","https://openalex.org/W2001141328","https://openalex.org/W2025079166","https://openalex.org/W2061375390","https://openalex.org/W2075241504","https://openalex.org/W2088032561","https://openalex.org/W2095865158","https://openalex.org/W2098316308","https://openalex.org/W2116148865","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2132773116","https://openalex.org/W2140095548","https://openalex.org/W2149861038","https://openalex.org/W2160547390","https://openalex.org/W2196956961","https://openalex.org/W2296616510","https://openalex.org/W2738884585","https://openalex.org/W2963322354","https://openalex.org/W4250955649","https://openalex.org/W4300263211","https://openalex.org/W7039177067"],"related_works":["https://openalex.org/W2549922247","https://openalex.org/W2300663769","https://openalex.org/W1523391825","https://openalex.org/W2152231009","https://openalex.org/W2152589265","https://openalex.org/W2735239078","https://openalex.org/W2963414100","https://openalex.org/W2372875289","https://openalex.org/W2071589878","https://openalex.org/W4380785434"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1,76,109,118,177],"allows":[2],"us":[3],"to":[4,69,88,136,151,184],"recover":[5,185],"signals":[6],"that":[7,28],"are":[8],"linearly":[9],"sparse":[10],"in":[11,64,91,107,132,160,171,204],"some":[12],"basis":[13],"from":[14],"a":[15,43,50,54,100],"smaller":[16],"number":[17,73],"of":[18,31,53,74,81,124,155,201],"measurements":[19],"than":[20],"traditionally":[21],"required.":[22],"However,":[23,78],"it":[24],"has":[25,60,84],"been":[26,61,85],"shown":[27],"many":[29],"classes":[30],"images":[32],"or":[33,143],"video":[34],"can":[35,180],"be":[36,182],"more":[37,144],"efficiently":[38],"modeled":[39],"as":[40,49,164,170],"lying":[41],"on":[42],"nonlinear":[44],"manifold,":[45],"and":[46,199],"hence":[47],"described":[48],"non-linear":[51],"function":[52],"few":[55],"underlying":[56],"parameters.":[57],"Recently,":[58],"there":[59],"growing":[62],"interest":[63],"using":[65,110],"these":[66,186],"manifold":[67,82,105,162],"models":[68,83,106],"reduce":[70],"the":[71,79,121,133,153,157,161,197],"required":[72],"compressive":[75,108,117,126,173,176,206],"measurements.":[77],"complexity":[80],"an":[86,138,165],"obstacle":[87],"their":[89],"use":[90],"efficient":[92,139],"data":[93],"acquisition.":[94],"In":[95],"this":[96,202],"paper,":[97],"we":[98],"introduce":[99],"new":[101],"algorithm":[102,203],"for":[103,141],"applying":[104],"kernel":[111,116,122],"methods.":[112],"Our":[113],"proposed":[114],"algorithm,":[115],"(KCS),":[119],"is":[120,149],"version":[123],"classical":[125],"sensing.":[127,174,207],"It":[128,147],"uses":[129],"dictionary":[130],"learning":[131],"feature":[134],"space":[135],"build":[137],"model":[140],"one":[142],"signal":[145],"manifolds.":[146],"then":[148],"able":[150],"formulate":[152],"problem":[154,169],"recovering":[156],"signal's":[158],"coordinates":[159],"representation":[163],"underdetermined":[166],"linear":[167],"inverse":[168],"traditional":[172],"Standard":[175],"recovery":[178],"methods":[179],"thus":[181],"used":[183],"coordinates,":[187],"avoiding":[188],"additional":[189],"computational":[190],"complexity.":[191],"We":[192],"present":[193],"experimental":[194],"results":[195],"demonstrating":[196],"efficiency":[198],"efficacy":[200],"manifold-based":[205]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}