{"id":"https://openalex.org/W582572791","doi":null,"title":"The effect of noise and sample size in the performance of an unsupervised feature relevant determination method for manifold learning","display_name":"The effect of noise and sample size in the performance of an unsupervised feature relevant determination method for manifold learning","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W582572791","mag":"582572791"},"language":"en","primary_location":{"id":"pmh:oai:recercat.cat:2072/10606","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2099.1/5607","pdf_url":"http://hdl.handle.net/2099.1/5607","source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"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":"","raw_type":"info:eu-repo/semantics/masterThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2099.1/5607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039650389","display_name":"Velazco Brao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Velazco Brao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Jorge Sebasti\u00e1n Lozano","orcid":"https://orcid.org/0000-0002-5680-1777","observed_orcids":["https://orcid.org/0000-0002-5680-1777"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Sebasti\u00e1n Lozano","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5680-1777","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.2800000011920929,"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/T10057","display_name":"Face and Expression Recognition","score":0.2800000011920929,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.2703000009059906,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.24130000174045563,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/unsupervised-feature-selection","display_name":"unsupervised feature selection","score":0.9900000095367432},{"id":"https://openalex.org/keywords/generative-topographic-mapping","display_name":"generative topographic mapping","score":0.9649999737739563},{"id":"https://openalex.org/keywords/manifold-learning","display_name":"manifold learning","score":0.9660000205039978},{"id":"https://openalex.org/keywords/mixture-models","display_name":"mixture models","score":0.9269999861717224},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.5899999737739563},{"id":"https://openalex.org/keywords/sample-size-effects","display_name":"sample size effects","score":0.9319999814033508},{"id":"https://openalex.org/keywords/variational-bayesian-inference","display_name":"variational inference","score":0.9319999814033508},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.701451301574707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6698943376541138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6591694951057434},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6456747055053711},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6325171589851379},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.597468912601471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5457403659820557},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5294078588485718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5281199216842651},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4745515286922455},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44945353269577026},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4414336085319519},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4223010540008545},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4187828004360199},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.34188026189804077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33523547649383545},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29894208908081055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2715679705142975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1372678279876709},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:recercat.cat:2072/10606","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2099.1/5607","pdf_url":"http://hdl.handle.net/2099.1/5607","source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"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":"","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"pmh:oai:dnet:upcommonspor::5af0a9540a71bc60a913f9298331056c","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2099.1/5607","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"pmh:oai:upcommons.upc.edu:2099.1/5607","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2099.1/5607","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Master thesis"},{"id":"mag:582572791","doi":null,"is_oa":false,"landing_page_url":"https://upcommons.upc.edu/bitstream/2099.1/5607/1/ThesisJorgeVelazco.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:recercat.cat:2072/10606","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2099.1/5607","pdf_url":"http://hdl.handle.net/2099.1/5607","source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"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":"","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W582572791.pdf","grobid_xml":"https://content.openalex.org/works/W582572791.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1533362667","https://openalex.org/W1579271636","https://openalex.org/W1679913846","https://openalex.org/W1869311973","https://openalex.org/W1904286918","https://openalex.org/W2021123210","https://openalex.org/W2106848126","https://openalex.org/W2107636931","https://openalex.org/W2111051539","https://openalex.org/W2113121867","https://openalex.org/W2119479037","https://openalex.org/W2137971377","https://openalex.org/W2156140776","https://openalex.org/W2293245298","https://openalex.org/W2425246132","https://openalex.org/W2911415469"],"related_works":["https://openalex.org/W2160853441","https://openalex.org/W1596603305","https://openalex.org/W7033405740","https://openalex.org/W7096711379","https://openalex.org/W1964540928","https://openalex.org/W1511396599","https://openalex.org/W6959444408","https://openalex.org/W2147050592","https://openalex.org/W2133703553","https://openalex.org/W2053259742"],"abstract_inverted_index":{"The":[0],"research":[1,62],"on":[2,63],"unsupervised":[3,27,65],"feature":[4,28,128],"selection":[5,29],"is":[6,19],"scarce":[7],"in":[8,89],"comparison":[9],"to":[10,41],"that":[11,17,51,71,99],"for":[12,23,31,68],"supervised\\nmodels,":[13],"despite":[14],"the":[15,58,111],"fact":[16],"this":[18,64,85],"an":[20,102],"important":[21],"issue":[22],"many":[24],"clustering\\nproblems.":[25],"An":[26],"method":[30,67],"general":[32],"Finite":[33],"Mixture":[34],"Models\\nwas":[35],"recently":[36],"proposed":[37],"and":[38,80,95],"subsequently":[39],"extended":[40],"Generative":[42],"Topographic":[43],"Mapping\\n(GTM),":[44],"a":[45,123],"manifold":[46],"learning":[47],"constrained":[48],"mixture":[49],"model":[50],"provides":[52],"data":[53],"clustering\\nand":[54],"visualization.":[55],"Some":[56],"of":[57,60,93,110,113,122,127],"results":[59],"previous":[61],"feature\\nselection":[66],"GTM":[69],"suggested":[70],"its":[72],"performance":[73],"may":[74],"be":[75],"affected":[76],"by":[77,81],"insuficient\\nsample":[78],"size":[79],"noisy":[82],"data.":[83],"In":[84,116],"thesis,":[86],"we":[87,118],"test":[88],"detail":[90],"such":[91],"limitations":[92],"the\\nmethod":[94],"outline":[96],"some":[97],"techniques":[98],"could":[100],"provide":[101,119],"at":[103],"least":[104],"partial":[105],"solution":[106],"to\\nthe":[107],"negative":[108],"effect":[109],"presence":[112],"uninformative":[114],"noise.":[115],"particular,":[117],"a\\ndetailed":[120],"account":[121],"variational":[124],"Bayesian":[125],"formulation":[126],"relevance":[129],"determination\\nfor":[130],"GTM.":[131]},"counts_by_year":[],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2016-06-24T00:00:00"}