{"id":"https://openalex.org/W2609729768","doi":"https://doi.org/10.1109/icpr.2016.7900132","title":"Multi-Paced Dictionary Learning for cross-domain retrieval and recognition","display_name":"Multi-Paced Dictionary Learning for cross-domain retrieval and recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609729768","doi":"https://doi.org/10.1109/icpr.2016.7900132","mag":"2609729768"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900132","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01416419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100341938","display_name":"Dan Xu","orcid":"https://orcid.org/0000-0003-0136-9603"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["University of Trento, Italy","UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036987388","display_name":"Jingkuan Song","orcid":"https://orcid.org/0000-0002-2549-8322"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jingkuan Song","raw_affiliation_strings":["University of Trento, Italy","UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621495","display_name":"Xavier Alameda-Pineda","orcid":"https://orcid.org/0000-0002-5354-1084"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR","IT"],"is_corresponding":false,"raw_author_name":"Xavier Alameda-Pineda","raw_affiliation_strings":["University of Trento, Italy","PERCEPTION  - Interpretation and Modelling of Images and Videos (INRIA Rh\u00f4ne-Alpes 655 avenue de l'Europe 38330 Montbonnot, France - France)","UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"PERCEPTION  - Interpretation and Modelling of Images and Videos (INRIA Rh\u00f4ne-Alpes 655 avenue de l'Europe 38330 Montbonnot, France - France)","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"raw_affiliation_string":"UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065059558","display_name":"Elisa Ricci","orcid":"https://orcid.org/0000-0002-0228-1147"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisa Ricci","raw_affiliation_strings":["Fondazione Bruno Kessler, University of Perugia, Italy","FBK - Fondazione Bruno Kessler [Trento, Italy] (via Santa Croce, 77 - 38122 Trento - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, University of Perugia, Italy","institution_ids":["https://openalex.org/I2277624104","https://openalex.org/I27483092"]},{"raw_affiliation_string":"FBK - Fondazione Bruno Kessler [Trento, Italy] (via Santa Croce, 77 - 38122 Trento - Italy)","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicu Sebe","raw_affiliation_strings":["University of Trento, Italy","UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"UNITN - Universit\u00e0 degli Studi di Trento =  University of Trento (via Calepina, 14 - I-38122 Trento - Italy)","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"3228","last_page":"3233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.8629738688468933},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.6669019460678101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519240140914917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5490196943283081},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5420454740524292},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.42675596475601196},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.42490386962890625},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4227266311645508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07587563991546631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8629738688468933},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.6669019460678101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519240140914917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5490196943283081},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5420454740524292},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.42675596475601196},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.42490386962890625},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4227266311645508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07587563991546631},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icpr.2016.7900132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900132","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:HAL:hal-01416419v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01416419","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"IEEE International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. pp.3228-3233, &#x27E8;10.1109/ICPR.2016.7900132&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unitn.it:11572/193370","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/7900132","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-105068","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-105068","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-105068","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-105068","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01416419v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01416419","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"IEEE International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. pp.3228-3233, &#x27E8;10.1109/ICPR.2016.7900132&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W880548201","https://openalex.org/W1970055505","https://openalex.org/W1987645143","https://openalex.org/W1995137594","https://openalex.org/W2005876975","https://openalex.org/W2030899956","https://openalex.org/W2053667957","https://openalex.org/W2061938360","https://openalex.org/W2067766814","https://openalex.org/W2100556411","https://openalex.org/W2100913937","https://openalex.org/W2106277773","https://openalex.org/W2113606819","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2132175002","https://openalex.org/W2132984949","https://openalex.org/W2133434696","https://openalex.org/W2136995369","https://openalex.org/W2137225583","https://openalex.org/W2140245639","https://openalex.org/W2149481809","https://openalex.org/W2153288431","https://openalex.org/W2159373756","https://openalex.org/W2160547390","https://openalex.org/W2170653751","https://openalex.org/W2240952537","https://openalex.org/W2251084241","https://openalex.org/W2256388387","https://openalex.org/W2290309368","https://openalex.org/W2294193936","https://openalex.org/W2296073425","https://openalex.org/W2527420824","https://openalex.org/W2962791923","https://openalex.org/W4251308012","https://openalex.org/W6608183366","https://openalex.org/W6675038308","https://openalex.org/W6676903177","https://openalex.org/W6677973867","https://openalex.org/W6678025836","https://openalex.org/W6679390333","https://openalex.org/W6679805309","https://openalex.org/W6696851070"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W3188573563","https://openalex.org/W4287064674","https://openalex.org/W3201246199","https://openalex.org/W1976890290","https://openalex.org/W2098836165","https://openalex.org/W3144173820","https://openalex.org/W2576964996"],"abstract_inverted_index":{"Several":[0],"applications":[1],"benefit":[2],"from":[3,11,106],"learning":[4,18,65,87,102],"coupled":[5],"representations":[6],"able":[7,58],"to":[8,21,59,99,120],"describe":[9],"data":[10,71,105],"multiple":[12,107],"sources.":[13],"For":[14],"instance,":[15],"cross-domain":[16,44],"dictionary":[17,45],"methods":[19,88],"demonstrated":[20],"be":[22],"particularly":[23],"effective.":[24],"In":[25],"this":[26],"paper":[27],"we":[28],"introduce":[29],"Multi-Paced":[30],"Dictionary":[31],"Learning":[32],"(MPDL)":[33],"and":[34,115,124,139],"propose":[35,116],"an":[36,117],"instantiation":[37],"of":[38,43,63,84],"it":[39],"under":[40],"the":[41,61,69,101,113,122],"framework":[42,57],"learning.":[46],"MPDL":[47,95],"is":[48,96,128],"inspired":[49],"by":[50,67],"previous":[51],"works":[52],"on":[53,132],"self-paced":[54,86],"learning,":[55],"a":[56,73,91],"enhance":[60],"accuracy":[62],"conventional":[64],"models":[66],"presenting":[68],"training":[70],"in":[72],"meaningful":[74],"order,":[75],"i.e.":[76],"easy":[77],"samples":[78],"are":[79,109],"provided":[80],"first.":[81],"However,":[82],"most":[83],"existing":[85],"only":[89],"consider":[90],"single":[92],"modality,":[93],"while":[94],"specifically":[97],"designed":[98],"assess":[100],"pace":[103],"when":[104],"sources":[108],"available.":[110],"We":[111],"present":[112],"model":[114],"efficient":[118],"algorithm":[119],"learn":[121],"dictionaries":[123],"codes.":[125],"The":[126],"approach":[127],"validated":[129],"via":[130],"experiments":[131],"two":[133],"different":[134],"tasks,":[135],"namely":[136],"cross-media":[137],"retrieval":[138],"sketch-to-photo":[140],"face":[141],"recognition,":[142],"using":[143],"publicly":[144],"available":[145],"datasets.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
