{"id":"https://openalex.org/W3014624619","doi":"https://doi.org/10.1109/tnnls.2020.2979745","title":"Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices","display_name":"Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W3014624619","doi":"https://doi.org/10.1109/tnnls.2020.2979745","mag":"3014624619","pmid":"https://pubmed.ncbi.nlm.nih.gov/32287012"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2979745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979745","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://hal.archives-ouvertes.fr/hal-03265179/file/Hypersphere-Based%20Weight%20Imprinting%20for%20Few-Shot%20Learning%20on%20Embedded%20Devices.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061050264","display_name":"Nikolaos Passalis","orcid":"https://orcid.org/0000-0003-1177-9139"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Passalis","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"raw_orcid":"https://orcid.org/0000-0003-1177-9139","affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064535836","display_name":"Alexandros Iosifidis","orcid":"https://orcid.org/0000-0003-4807-1345"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Alexandros Iosifidis","raw_affiliation_strings":["Aarhus University, Aarhus, Denmark","Aarhus University [Aarhus] (Nordre Ringgade 1 DK-8000 Aarhus C - Denmark)"],"raw_orcid":"https://orcid.org/0000-0003-4807-1345","affiliations":[{"raw_affiliation_string":"Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]},{"raw_affiliation_string":"Aarhus University [Aarhus] (Nordre Ringgade 1 DK-8000 Aarhus C - Denmark)","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Faculty of Information Technology and Communication, Tampere University, Tampere, Finland","Tampere University (Finland)"],"raw_orcid":"https://orcid.org/0000-0002-9788-2323","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"Tampere University (Finland)","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"raw_orcid":"https://orcid.org/0000-0003-1288-3667","affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.877,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88395513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"32","issue":"2","first_page":"925","last_page":"930"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9968000054359436,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/hypersphere","display_name":"Hypersphere","score":0.9485499858856201},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7716546058654785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662947535514832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6494526863098145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5512585639953613},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5308312773704529},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4924705922603607},{"id":"https://openalex.org/keywords/imprinting","display_name":"Imprinting (psychology)","score":0.4774894416332245},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4163541793823242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40023693442344666},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24611306190490723},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06881561875343323}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.9485499858856201},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7716546058654785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662947535514832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6494526863098145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5512585639953613},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5308312773704529},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4924705922603607},{"id":"https://openalex.org/C94715292","wikidata":"https://www.wikidata.org/wiki/Q624349","display_name":"Imprinting (psychology)","level":3,"score":0.4774894416332245},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4163541793823242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40023693442344666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24611306190490723},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06881561875343323},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2020.2979745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979745","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32287012","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32287012","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire/37e20795-f736-43e7-a3a2-7499a42678a3","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/37e20795-f736-43e7-a3a2-7499a42678a3","pdf_url":"https://hal.archives-ouvertes.fr/hal-03265179/file/Hypersphere-Based%20Weight%20Imprinting%20for%20Few-Shot%20Learning%20on%20Embedded%20Devices.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Passalis, N, Iosifidis, A, Gabbouj, M & Tefas, A 2021, 'Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices', IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 2, pp. 925-930. https://doi.org/10.1109/TNNLS.2020.2979745","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:hal-03265179v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03265179","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 Transactions on Neural Networks and Learning Systems, 2021, 32 (2), pp.925-930. ⟨10.1109/TNNLS.2020.2979745⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/37e20795-f736-43e7-a3a2-7499a42678a3","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/37e20795-f736-43e7-a3a2-7499a42678a3","pdf_url":"https://hal.archives-ouvertes.fr/hal-03265179/file/Hypersphere-Based%20Weight%20Imprinting%20for%20Few-Shot%20Learning%20on%20Embedded%20Devices.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Passalis, N, Iosifidis, A, Gabbouj, M & Tefas, A 2021, 'Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices', IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 2, pp. 925-930. https://doi.org/10.1109/TNNLS.2020.2979745","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3342924554","display_name":null,"funder_award_id":"871449","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5837592645","display_name":"Open Deep Learning Toolkit for Robotics","funder_award_id":"871449","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014624619.pdf","grobid_xml":"https://content.openalex.org/works/W3014624619.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1576534100","https://openalex.org/W1797268635","https://openalex.org/W2004025832","https://openalex.org/W2049108460","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2124033848","https://openalex.org/W2334805829","https://openalex.org/W2345211079","https://openalex.org/W2520774990","https://openalex.org/W2604415738","https://openalex.org/W2625674597","https://openalex.org/W2796346823","https://openalex.org/W2798836702","https://openalex.org/W2803696107","https://openalex.org/W2919115771","https://openalex.org/W2922420408","https://openalex.org/W2953461088","https://openalex.org/W2963078860","https://openalex.org/W2963340196","https://openalex.org/W2963341924","https://openalex.org/W2963499153","https://openalex.org/W2963680240","https://openalex.org/W6638319203","https://openalex.org/W6674330103","https://openalex.org/W6678360021","https://openalex.org/W6717697761","https://openalex.org/W6726946684"],"related_works":["https://openalex.org/W2099702253","https://openalex.org/W2059484267","https://openalex.org/W1970780628","https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W2069017679","https://openalex.org/W2133653616","https://openalex.org/W2921850681","https://openalex.org/W4297676672","https://openalex.org/W3009056573"],"abstract_inverted_index":{"Weight":[0],"imprinting":[1],"(WI)":[2],"was":[3,19],"recently":[4],"introduced":[5],"as":[6],"a":[7,77,92,105],"way":[8,108],"to":[9,16,63],"perform":[10],"gradient":[11],"descent-free":[12],"few-shot":[13,25],"learning.":[14],"Due":[15],"this,":[17],"WI":[18,43,95],"almost":[20],"immediately":[21],"adapted":[22],"for":[23],"performing":[24],"learning":[26],"on":[27,69,80,125],"embedded":[28],"neural":[29,102],"network":[30],"accelerators":[31],"that":[32,97],"do":[33],"not":[34],"support":[35],"back-propagation,":[36],"e.g.,":[37,48],"edge":[38],"tensor":[39],"processing":[40],"units.":[41],"However,":[42],"suffers":[44],"from":[45],"many":[46],"limitations,":[47],"it":[49],"cannot":[50],"handle":[51],"novel":[52,85,93],"categories":[53],"with":[54],"multimodal":[55],"distributions":[56],"and":[57],"special":[58],"care":[59],"should":[60],"be":[61],"given":[62],"avoid":[64],"overfitting":[65],"the":[66,70,84,111,117],"learned":[67],"embeddings":[68],"training":[71,101],"classes":[72],"since":[73],"this":[74,88],"can":[75],"have":[76],"devastating":[78],"effect":[79],"classification":[81],"accuracy":[82],"(for":[83],"categories).":[86],"In":[87],"article,":[89],"we":[90],"propose":[91],"hypersphere-based":[94],"approach":[96],"is":[98,120],"capable":[99],"of":[100,116],"networks":[103],"in":[104],"regularized,":[106],"imprinting-aware":[107],"effectively":[109],"overcoming":[110],"aforementioned":[112],"limitations.":[113],"The":[114],"effectiveness":[115],"proposed":[118],"method":[119],"demonstrated":[121],"using":[122],"extensive":[123],"experiments":[124],"three":[126],"image":[127],"data":[128],"sets.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}