{"id":"https://openalex.org/W2032699852","doi":"https://doi.org/10.1109/tip.2012.2200902","title":"Optimized Regression for Efficient Function Evaluation","display_name":"Optimized Regression for Efficient Function Evaluation","publication_year":2012,"publication_date":"2012-05-24","ids":{"openalex":"https://openalex.org/W2032699852","doi":"https://doi.org/10.1109/tip.2012.2200902","mag":"2032699852","pmid":"https://pubmed.ncbi.nlm.nih.gov/22645270"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2200902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2200902","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5024519528","display_name":"Eric Garcia","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric Garcia","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA. eric.garcia@gmail.com","Department of Electrical Engineering University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA. eric.garcia@gmail.com","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical Engineering University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063457506","display_name":"Raman Arora","orcid":"https://orcid.org/0000-0003-2002-3923"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raman Arora","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Department of Electrical Engineering University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical Engineering University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111921762","display_name":"Maya R. Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maya R. Gupta","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Department of Electrical Engineering University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical Engineering University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024519528"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.5491,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.6773749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"9","first_page":"4128","last_page":"4140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/lookup-table","display_name":"Lookup table","score":0.6509835720062256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628737807273865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5522539019584656},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5111930966377258},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.4320720434188843},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42761939764022827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38585323095321655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37079882621765137},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2393125295639038},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1936914622783661}],"concepts":[{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.6509835720062256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628737807273865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5522539019584656},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5111930966377258},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.4320720434188843},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42761939764022827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38585323095321655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37079882621765137},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2393125295639038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1936914622783661},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2012.2200902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2200902","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:22645270","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22645270","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W202178892","https://openalex.org/W1568117653","https://openalex.org/W1968183977","https://openalex.org/W2054134678","https://openalex.org/W2065540158","https://openalex.org/W2067042811","https://openalex.org/W2097594185","https://openalex.org/W2102462738","https://openalex.org/W2104290444","https://openalex.org/W2104876002","https://openalex.org/W2109364787","https://openalex.org/W2112976298","https://openalex.org/W2118048031","https://openalex.org/W2120252149","https://openalex.org/W2129666454","https://openalex.org/W2132914434","https://openalex.org/W2138085759","https://openalex.org/W2138491947","https://openalex.org/W2139339670","https://openalex.org/W2144343563","https://openalex.org/W2147321963","https://openalex.org/W2148983690","https://openalex.org/W2151380144","https://openalex.org/W2154866118","https://openalex.org/W2157494358","https://openalex.org/W2157635915","https://openalex.org/W2167547484","https://openalex.org/W2170548340","https://openalex.org/W2274135556","https://openalex.org/W2307434528","https://openalex.org/W2396485576","https://openalex.org/W2397316968","https://openalex.org/W2398075421","https://openalex.org/W2400053233","https://openalex.org/W2404228649","https://openalex.org/W2502285051","https://openalex.org/W2597289420","https://openalex.org/W2997701990","https://openalex.org/W3187885428","https://openalex.org/W4211049957","https://openalex.org/W6675747103","https://openalex.org/W6680499681","https://openalex.org/W6712210616","https://openalex.org/W6712389194","https://openalex.org/W6712495316","https://openalex.org/W6712512655","https://openalex.org/W6713719647"],"related_works":["https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2388805907","https://openalex.org/W2371447506","https://openalex.org/W3141679561","https://openalex.org/W2019213545","https://openalex.org/W2351049170","https://openalex.org/W4312528244","https://openalex.org/W2022739798"],"abstract_inverted_index":{"In":[0],"many":[1],"applications":[2],"of":[3,11,20,37,77,92,116],"regression,":[4,86],"one":[5],"is":[6,26,53],"concerned":[7],"with":[8,57],"the":[9,12,18,21,30,67,75,78,90,93,98,114],"efficiency":[10],"estimated":[13,31],"function":[14,32,65,73,131],"in":[15],"addition":[16],"to":[17,28,66,96,109],"accuracy":[19],"regression.":[22],"For":[23],"efficiency,":[24],"it":[25],"common":[27],"represent":[29],"as":[33],"a":[34,51,58,64,105],"rectangular":[35],"lattice":[36,85,94],"values-a":[38],"lookup":[39],"table":[40],"(LUT)-that":[41],"can":[42],"be":[43],"linearly":[44],"interpolated":[45],"for":[46,136,142],"any":[47],"needed":[48],"value.":[49],"Typically,":[50],"LUT":[52],"constructed":[54],"from":[55],"data":[56],"two-step":[59],"process":[60],"that":[61,71,87,124],"first":[62],"fits":[63],"data,":[68],"then":[69],"evaluates":[70],"fitted":[72],"at":[74],"nodes":[76,95],"lattice.":[79],"We":[80,112],"present":[81],"an":[82],"approach,":[83],"termed":[84],"directly":[88],"optimizes":[89],"values":[91],"minimize":[97],"post-interpolation":[99],"training":[100],"error.":[101],"Additionally,":[102],"we":[103],"propose":[104],"second-order":[106],"difference":[107],"regularizer":[108],"promote":[110],"smoothness.":[111],"demonstrate":[113],"effectiveness":[115],"this":[117],"approach":[118],"on":[119],"two":[120],"image":[121],"processing":[122],"tasks":[123],"require":[125],"both":[126],"accurate":[127],"regression":[128],"and":[129,139],"efficient":[130],"evaluations:":[132],"inverse":[133],"device":[134],"characterization":[135],"color":[137],"management":[138],"omnidirectional":[140],"super-resolution":[141],"visual":[143],"homing.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}