{"id":"https://openalex.org/W1975864341","doi":"https://doi.org/10.1145/2493190.2493241","title":"Sparse selection of training data for touch correction systems","display_name":"Sparse selection of training data for touch correction systems","publication_year":2013,"publication_date":"2013-08-27","ids":{"openalex":"https://openalex.org/W1975864341","doi":"https://doi.org/10.1145/2493190.2493241","mag":"1975864341"},"language":"en","primary_location":{"id":"doi:10.1145/2493190.2493241","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2493190.2493241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001680502","display_name":"Daryl Weir","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daryl Weir","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Glasgow, Glasgow, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom#TAB#","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032594386","display_name":"Daniel Buschek","orcid":"https://orcid.org/0000-0002-0013-715X"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Buschek","raw_affiliation_strings":["University of Munich (LMU), Munich, Bavaria, Germany","University of Munich (LMU), Munich, Bavaria, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Munich (LMU), Munich, Bavaria, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"University of Munich (LMU), Munich, Bavaria, Germany#TAB#","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060432668","display_name":"Simon Rogers","orcid":"https://orcid.org/0000-0003-3578-4477"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Rogers","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Glasgow, Glasgow, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom#TAB#","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6145,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.97807627,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"404","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12238","display_name":"Green IT and Sustainability","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.7969838380813599},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.7636656761169434},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.7394520044326782},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5794842839241028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5637072920799255},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5545710325241089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5273295640945435},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45765626430511475},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43784791231155396},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.42392516136169434},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4227408468723297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3219700753688812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7969838380813599},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.7636656761169434},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.7394520044326782},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5794842839241028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637072920799255},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5545710325241089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5273295640945435},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45765626430511475},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43784791231155396},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.42392516136169434},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4227408468723297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3219700753688812},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2493190.2493241","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2493190.2493241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.721.2799","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.721.2799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.darylweir.com/assets/sparsemodels.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1648445109","https://openalex.org/W2003849625","https://openalex.org/W2072075309","https://openalex.org/W2110276090","https://openalex.org/W2130033216","https://openalex.org/W2133990837","https://openalex.org/W2136345490","https://openalex.org/W2149344674","https://openalex.org/W2295007882","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2010005619","https://openalex.org/W2683383161","https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869"],"abstract_inverted_index":{"Touch":[0],"offset":[1,89],"models":[2,91],"which":[3],"improve":[4],"input":[5],"accuracy":[6],"on":[7],"mobile":[8],"touch":[9],"screen":[10],"devices":[11],"typically":[12],"require":[13],"the":[14,46,69,84],"use":[15,45],"of":[16,20,71],"a":[17,28],"large":[18],"number":[19],"training":[21,32,64,72,94],"points.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"describe":[27],"method":[29],"for":[30,92],"selecting":[31],"points":[33,73],"such":[34],"that":[35,54,68],"high":[36],"performance":[37,55],"can":[38,57],"be":[39,58],"attained":[40],"with":[41,60],"fewer":[42,61],"data.":[43],"We":[44,66],"Relevance":[47],"Vector":[48],"Machine":[49],"(RVM)":[50],"algorithm,":[51],"and":[52,78,82],"show":[53,67],"improvements":[56],"obtained":[59],"than":[62],"10":[63],"examples.":[65],"distribution":[70],"is":[74],"conserved":[75],"across":[76],"users":[77],"contains":[79],"interesting":[80],"structure,":[81],"compare":[83],"RVM":[85],"to":[86],"two":[87],"other":[88],"prediction":[90],"small":[93],"set":[95],"sizes.":[96]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
