{"id":"https://openalex.org/W2607770697","doi":"https://doi.org/10.1109/icpr.2016.7900235","title":"Regressor Basis Learning for anchored super-resolution","display_name":"Regressor Basis Learning for anchored super-resolution","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607770697","doi":"https://doi.org/10.1109/icpr.2016.7900235","mag":"2607770697"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/575298","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080575512","display_name":"Eirikur Agustsson","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Eirikur Agustsson","raw_affiliation_strings":["Computer Vision Lab D-ITET ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Computer Vision Lab D-ITET ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052236177","display_name":"Radu Timofte","orcid":"https://orcid.org/0000-0002-1478-0402"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Radu Timofte","raw_affiliation_strings":["Computer Vision Lab D-ITET ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Computer Vision Lab D-ITET ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001254143","display_name":"Luc Van Gool","orcid":"https://orcid.org/0000-0002-3445-5711"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["BE","CH"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["ESAT, KU Leuven D-ITET ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"ESAT, KU Leuven D-ITET ETH, Zurich","institution_ids":["https://openalex.org/I99464096","https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080575512"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":1.336,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8751909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3850","last_page":"3855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6669449806213379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580731868743896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4621579945087433},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.44092386960983276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18220672011375427}],"concepts":[{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6669449806213379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580731868743896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4621579945087433},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.44092386960983276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18220672011375427},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2016.7900235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/575298","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/575298","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International conference on pattern recognition - ICPR 2016, Cancun, Mexico, 4-8 December 2016","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/575298","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/575298","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International conference on pattern recognition - ICPR 2016, Cancun, Mexico, 4-8 December 2016","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W135113724","https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1817990152","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1949096787","https://openalex.org/W1950594372","https://openalex.org/W2047920195","https://openalex.org/W2097074225","https://openalex.org/W2098506229","https://openalex.org/W2118963448","https://openalex.org/W2121927366","https://openalex.org/W2150081556","https://openalex.org/W2161516371","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2462651488","https://openalex.org/W2534320940","https://openalex.org/W2608989529","https://openalex.org/W2964325192","https://openalex.org/W3104720471","https://openalex.org/W4377561911","https://openalex.org/W6602211262","https://openalex.org/W6605397647","https://openalex.org/W6624640001","https://openalex.org/W6639309558","https://openalex.org/W6683660953","https://openalex.org/W6785716312"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"A+":[0,91,159],"aka":[1],"Adjusted":[2],"Anchored":[3],"Neighborhood":[4],"Regression":[5],"-":[6,45],"is":[7,107],"a":[8,29,34,58,70,87,99,110],"state-of-the-art":[9],"method":[10,181],"for":[11,183],"exemplar-based":[12],"single":[13],"image":[14],"super-resolution":[15],"with":[16,41],"low":[17],"time":[18],"complexity":[19],"at":[20],"both":[21],"train":[22],"and":[23,139,154],"test":[24],"time.":[25],"By":[26],"robustly":[27],"training":[28],"clustered":[30],"regression":[31],"model":[32,63],"over":[33],"low-resolution":[35],"dictionary,":[36],"its":[37],"performance":[38,157],"keeps":[39],"improving":[40],"the":[42,62,95,119,129,133,137,140,145],"dictionary":[43],"size":[44,64],"even":[46],"when":[47],"using":[48,162],"tens":[49],"of":[50,52,90,113,128,132,164,174],"thousands":[51],"regressors.":[53,116,176],"However,":[54],"this":[55],"can":[56,65],"pose":[57],"memory":[59,75,184],"issue":[60],"where":[61,92],"grow":[66],"to":[67,98,158],"more":[68],"than":[69],"gigabyte,":[71],"limiting":[72],"applicability":[73],"in":[74],"constrained":[76,185],"scenarios.":[77],"To":[78],"address":[79],"this,":[80],"we":[81,93],"propose":[82],"Regressor":[83],"Basis":[84],"Learning":[85],"(RB),":[86],"novel":[88],"variant":[89],"restrict":[94],"regressor":[96,106,120,134,142],"set":[97,135],"learned":[100],"low-dimensional":[101],"subspace,":[102],"such":[103],"that":[104],"each":[105],"coded":[108],"as":[109],"linear":[111],"combination":[112],"few":[114],"basis":[115,121,143,167,171],"We":[117,147],"learn":[118],"by":[122,161],"alternating":[123],"between":[124],"closed":[125],"form":[126],"solutions":[127],"optimal":[130,141],"coding":[131],"(given":[136,144],"basis)":[138],"coding).":[146],"validate":[148],"RB":[149,180],"on":[150],"several":[151],"standard":[152],"benchmarks":[153],"achieve":[155],"comparable":[156],"but":[160],"orders":[163],"magnitude":[165],"fewer":[166],"regressors,":[168],"ie.":[169],"32":[170],"regressors":[172],"instead":[173],"1024":[175],"This":[177],"makes":[178],"our":[179],"ideal":[182],"applications.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}