{"id":"https://openalex.org/W3006402569","doi":"https://doi.org/10.1007/s00521-020-04750-9","title":"LGSim: local task-invariant and global task-specific similarity for few-shot classification","display_name":"LGSim: local task-invariant and global task-specific similarity for few-shot classification","publication_year":2020,"publication_date":"2020-02-12","ids":{"openalex":"https://openalex.org/W3006402569","doi":"https://doi.org/10.1007/s00521-020-04750-9","mag":"3006402569"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-04750-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-04750-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","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/A5100442680","display_name":"Wenjing Li","orcid":"https://orcid.org/0000-0003-1154-2895"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210102600","display_name":"High Magnetic Field Laboratory","ror":"https://ror.org/01gh88804","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210102600"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjing Li","raw_affiliation_strings":["High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China","University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210102600","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112599196","display_name":"Zhongcheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongcheng Wu","raw_affiliation_strings":["Institute of Technology Innovation, Chinese Academy of Sciences, Hefei, China","University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Institute of Technology Innovation, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210135175"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433246","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-1017-7179"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210102600","display_name":"High Magnetic Field Laboratory","ror":"https://ror.org/01gh88804","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210102600"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China"],"affiliations":[{"raw_affiliation_string":"High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210102600","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415426","display_name":"Tingting Ren","orcid":"https://orcid.org/0000-0003-4981-8922"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210102600","display_name":"High Magnetic Field Laboratory","ror":"https://ror.org/01gh88804","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210102600"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Ren","raw_affiliation_strings":["High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China"],"affiliations":[{"raw_affiliation_string":"High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210102600","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101907359","display_name":"Li Fang","orcid":"https://orcid.org/0000-0002-4876-6975"},"institutions":[{"id":"https://openalex.org/I4210102600","display_name":"High Magnetic Field Laboratory","ror":"https://ror.org/01gh88804","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210102600"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China"],"affiliations":[{"raw_affiliation_string":"High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210102600","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100442680"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I4210102600"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.8231,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78274396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"16","first_page":"13065","last_page":"13076"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.996399998664856,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.98580002784729,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8311002254486084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6452264785766602},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6272876858711243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131899356842041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5499210357666016},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5433249473571777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44163328409194946},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4359460771083832},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4319992661476135},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4304535984992981},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4252707362174988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.398597776889801},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24089649319648743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1792934238910675}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8311002254486084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452264785766602},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6272876858711243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131899356842041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5499210357666016},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5433249473571777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44163328409194946},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4359460771083832},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4319992661476135},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4304535984992981},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4252707362174988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.398597776889801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24089649319648743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1792934238910675},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-020-04750-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-04750-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2114168642","https://openalex.org/W2115733720","https://openalex.org/W2139380585","https://openalex.org/W2145276819","https://openalex.org/W2162708558","https://openalex.org/W2257979135","https://openalex.org/W2399033357","https://openalex.org/W2401823607","https://openalex.org/W2402144811","https://openalex.org/W2601450892","https://openalex.org/W2604262106","https://openalex.org/W2621175638","https://openalex.org/W2742093937","https://openalex.org/W2744116293","https://openalex.org/W2753160622","https://openalex.org/W2775795276","https://openalex.org/W2786398923","https://openalex.org/W2786928087","https://openalex.org/W2788364218","https://openalex.org/W2795783309","https://openalex.org/W2795900505","https://openalex.org/W2797807814","https://openalex.org/W2803539857","https://openalex.org/W2805494479","https://openalex.org/W2892122929","https://openalex.org/W2895671740","https://openalex.org/W2900082762","https://openalex.org/W2911248322","https://openalex.org/W2949117887","https://openalex.org/W2950774882","https://openalex.org/W2951775809","https://openalex.org/W2962923325","https://openalex.org/W2963741406","https://openalex.org/W2963845150","https://openalex.org/W2964026991","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964121744","https://openalex.org/W4250482878","https://openalex.org/W6600175564","https://openalex.org/W6608856031","https://openalex.org/W6610385870","https://openalex.org/W6631171684","https://openalex.org/W6688974507","https://openalex.org/W6708877450"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057","https://openalex.org/W2894446834"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}