{"id":"https://openalex.org/W4408922635","doi":"https://doi.org/10.1007/s10994-024-06715-8","title":"Online dimensionality reduction through stacked generalization of spectral methods with deep networks","display_name":"Online dimensionality reduction through stacked generalization of spectral methods with deep networks","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4408922635","doi":"https://doi.org/10.1007/s10994-024-06715-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-024-06715-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06715-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06715-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06715-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015080430","display_name":"Juan Carlos Alvarado\u2010P\u00e9rez","orcid":"https://orcid.org/0000-0001-9497-5893"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]},{"id":"https://openalex.org/I4210149085","display_name":"Colombian Geological Survey","ror":"https://ror.org/04egzqc64","country_code":"CO","type":"government","lineage":["https://openalex.org/I4210149085"]}],"countries":["CO","ES"],"is_corresponding":true,"raw_author_name":"Juan Carlos Alvarado-P\u00e9rez","raw_affiliation_strings":["Departament d\u2019Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","Servicio Geol\u00f3gico Colombiano (SGC), Pasto, Colombia","Departament d'Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Departament d\u2019Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]},{"raw_affiliation_string":"Servicio Geol\u00f3gico Colombiano (SGC), Pasto, Colombia","institution_ids":["https://openalex.org/I4210149085"]},{"raw_affiliation_string":"Departament d'Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110221369","display_name":"Miguel \u00c1ngel Garc\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Angel Garcia","raw_affiliation_strings":["Department of Electronic and Communications Technology, Autonomous University of Madrid, Francisco Tomas y Valiente 11, 28049, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Communications Technology, Autonomous University of Madrid, Francisco Tomas y Valiente 11, 28049, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004665770","display_name":"Dom\u00e8nec Puig","orcid":"https://orcid.org/0000-0002-0562-4205"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Dom\u00e8nec Puig","raw_affiliation_strings":["Departament d\u2019Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","Departament d'Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Departament d\u2019Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]},{"raw_affiliation_string":"Departament d'Enginyeria Inform\u00e0tica i Matem\u00e0tiques, Universitat Rovira i Virgili, Paisos Catalans, 26, 43007, Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015080430"],"corresponding_institution_ids":["https://openalex.org/I4210149085","https://openalex.org/I55952717"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05795035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"114","issue":"5","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":0.9980000257492065,"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":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9923999905586243,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8385107517242432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6112097501754761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5701999664306641},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5313798785209656},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.516019344329834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5061559081077576},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4817200303077698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47526758909225464},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45502904057502747},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4470241367816925},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.440322607755661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38698017597198486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3039870262145996}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8385107517242432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6112097501754761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5701999664306641},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5313798785209656},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.516019344329834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5061559081077576},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4817200303077698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47526758909225464},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45502904057502747},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4470241367816925},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.440322607755661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38698017597198486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3039870262145996},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-024-06715-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06715-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06715-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-024-06715-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06715-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06715-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408922635.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1509047748","https://openalex.org/W1535602073","https://openalex.org/W1590183771","https://openalex.org/W1608207070","https://openalex.org/W1742512077","https://openalex.org/W1966347620","https://openalex.org/W1967170228","https://openalex.org/W1988790447","https://openalex.org/W1994616650","https://openalex.org/W1995875735","https://openalex.org/W1995945562","https://openalex.org/W1997780235","https://openalex.org/W2000961858","https://openalex.org/W2001141328","https://openalex.org/W2013736751","https://openalex.org/W2046033161","https://openalex.org/W2053186076","https://openalex.org/W2057491655","https://openalex.org/W2059173978","https://openalex.org/W2060166505","https://openalex.org/W2064529770","https://openalex.org/W2067752346","https://openalex.org/W2071128523","https://openalex.org/W2075728230","https://openalex.org/W2097308346","https://openalex.org/W2100495367","https://openalex.org/W2100659887","https://openalex.org/W2107636931","https://openalex.org/W2109743529","https://openalex.org/W2121451737","https://openalex.org/W2130949063","https://openalex.org/W2133487567","https://openalex.org/W2136655611","https://openalex.org/W2138615112","https://openalex.org/W2140095548","https://openalex.org/W2150590096","https://openalex.org/W2164877031","https://openalex.org/W2165867509","https://openalex.org/W2173520492","https://openalex.org/W2331464089","https://openalex.org/W2405933695","https://openalex.org/W2755992512","https://openalex.org/W2757746673","https://openalex.org/W2765331439","https://openalex.org/W2788724289","https://openalex.org/W2796601240","https://openalex.org/W2889326414","https://openalex.org/W2903097649","https://openalex.org/W2911964244","https://openalex.org/W2969873879","https://openalex.org/W2969937244","https://openalex.org/W2987602849","https://openalex.org/W3016108562","https://openalex.org/W3024119303","https://openalex.org/W3091222518","https://openalex.org/W3100020851","https://openalex.org/W3142873477","https://openalex.org/W3150406472","https://openalex.org/W3153494205","https://openalex.org/W3157924763","https://openalex.org/W3167655401","https://openalex.org/W3202194958","https://openalex.org/W3202332579","https://openalex.org/W3206057793","https://openalex.org/W4200523850","https://openalex.org/W4205691894","https://openalex.org/W4224880062","https://openalex.org/W4283313319","https://openalex.org/W4300862254","https://openalex.org/W4306953483","https://openalex.org/W4309879214","https://openalex.org/W4388773687","https://openalex.org/W6682572928","https://openalex.org/W6683161245","https://openalex.org/W6697856237"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W2166963679"],"abstract_inverted_index":{"Abstract":[0],"Analyzing":[1],"large":[2],"volumes":[3],"of":[4,19,44,94,122,195],"high-dimensional":[5],"data":[6,20,53],"poses":[7],"significant":[8],"challenges.":[9],"Dimensionality":[10],"reduction":[11,30,80,200],"aims":[12],"to":[13,38,49,118,135,173,193],"reveal":[14],"the":[15,56,60,108,127,169,196],"most":[16,197],"prominent":[17],"properties":[18],"by":[21,91,98,130,152,202],"embedding":[22,58],"them":[23],"into":[24],"a":[25,71,113,120,136,149,153],"low-dimensional":[26],"representation.":[27],"Spectral":[28],"dimensionality":[29,79,199],"methods":[31,46,68,101,133],"using":[32,203],"kernel":[33],"matrices":[34],"have":[35,70,163],"been":[36,164,184],"proven":[37],"yield":[39],"optimal":[40],"results.":[41],"Online":[42],"versions":[43],"those":[45],"are":[47,143],"desirable":[48],"incrementally":[50],"project":[51],"new":[52],"without":[54],"recomputing":[55],"whole":[57],"from":[59],"complete":[61],"dataset.":[62,139],"In":[63,106],"addition,":[64],"integrating":[65],"different":[66,99,131],"spectral":[67,100,132],"may":[69],"synergistic":[72],"effect.":[73],"This":[74],"paper":[75],"presents":[76],"an":[77,160],"online":[78],"method":[81,110,182],"based":[82,125],"on":[83,126,167,187],"deep":[84,123],"neural":[85],"networks":[86],"that":[87],"integrates":[88],"embeddings":[89,128],"optimized":[90,144],"statistical":[92],"approximation":[93],"neighborhoods":[95],"and":[96,145,159,191],"induced":[97,129],"through":[102,148],"stacking":[103],"ensemble":[104],"learning.":[105],"particular,":[107],"proposed":[109,181],"first":[111],"applies":[112],"self-supervised":[114],"stage":[115],"in":[116],"order":[117],"train":[119],"set":[121],"encoders":[124,142],"applied":[134],"given":[137],"input":[138],"Those":[140],"basis":[141],"then":[146],"integrated":[147],"metamodel":[150],"constituted":[151],"fully":[154],"connected":[155],"network.":[156],"A":[157],"supervised":[158],"unsupervised":[161],"approach":[162],"designed":[165],"depending":[166],"whether":[168],"final":[170],"aim":[171],"is":[172],"enforce":[174],"topological":[175],"preservation":[176],"or":[177],"cluster":[178],"induction.":[179],"The":[180],"has":[183],"experimentally":[185],"validated":[186],"well-known":[188],"image":[189],"datasets":[190],"compared":[192],"some":[194],"relevant":[198],"techniques":[201],"widely-used":[204],"quality":[205],"measures.":[206]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
