{"id":"https://openalex.org/W4206445016","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660577","title":"Representative Multi-Domain Feature Selection Based Cross-Domain Few-Shot Classification","display_name":"Representative Multi-Domain Feature Selection Based Cross-Domain Few-Shot Classification","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4206445016","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660577"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc54101.2021.9660577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660577","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111204753","display_name":"Zhewei Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhewei Weng","raw_affiliation_strings":["Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","institution_ids":[]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100536990","display_name":"Chunyan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Feng","raw_affiliation_strings":["Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","institution_ids":[]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032943024","display_name":"Tiankui Zhang","orcid":"https://orcid.org/0000-0002-6953-847X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiankui Zhang","raw_affiliation_strings":["Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","institution_ids":[]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007186741","display_name":"Yutao Zhu","orcid":"https://orcid.org/0000-0002-9432-3251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yutao Zhu","raw_affiliation_strings":["China Branch of BRICS Institute of Future Networks, Shenzhen, China","Jiangxi Xinborui Technology Co., Ltd, Yingtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Branch of BRICS Institute of Future Networks, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004129136","display_name":"Zeren Chen","orcid":"https://orcid.org/0000-0001-7412-8347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeren Chen","raw_affiliation_strings":["China Branch of BRICS Institute of Future Networks, Shenzhen, China","Jiangxi Xinborui Technology Co., Ltd, Yingtan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Branch of BRICS Institute of Future Networks, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Jiangxi Xinborui Technology Co., Ltd, Yingtan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20817101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"90"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9684000015258789,"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/domain","display_name":"Domain (mathematical analysis)","score":0.7598788738250732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187833786010742},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7128036022186279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583329439163208},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6054953932762146},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6008282899856567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5676971673965454},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5216981768608093},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4408869743347168},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4394106864929199},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4288186728954315},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4224895238876343},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41168013215065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3546735644340515},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.1857001781463623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15730491280555725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06090801954269409}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7598788738250732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187833786010742},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7128036022186279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583329439163208},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6054953932762146},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6008282899856567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5676971673965454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5216981768608093},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4408869743347168},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4394106864929199},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4288186728954315},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4224895238876343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41168013215065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3546735644340515},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.1857001781463623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15730491280555725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06090801954269409},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1109/ic-nidc54101.2021.9660577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660577","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2760103357","https://openalex.org/W2944378183","https://openalex.org/W2958360136","https://openalex.org/W2995253937","https://openalex.org/W3002740131","https://openalex.org/W3012473455","https://openalex.org/W3034587791","https://openalex.org/W3036139671","https://openalex.org/W3094897602","https://openalex.org/W3110608229","https://openalex.org/W3118284102","https://openalex.org/W4288322074","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6760206936","https://openalex.org/W6760378562","https://openalex.org/W6762744983","https://openalex.org/W6764592398","https://openalex.org/W6773297391","https://openalex.org/W6775188128","https://openalex.org/W6780012728","https://openalex.org/W6780018965","https://openalex.org/W6784088632"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Typical":[0],"few-shot":[1,25,34],"learning":[2,26],"methods":[3],"implicitly":[4],"assume":[5],"that":[6],"the":[7,11,16,22,47,51,55,59,68,84,90,98,106],"meta-training":[8,48],"dataset":[9,13,108],"and":[10,54,74,89],"meta-test":[12,56],"come":[14],"from":[15],"same":[17],"domain,":[18],"which":[19,40,82],"greatly":[20],"limits":[21],"application":[23],"of":[24,70,97],"methods.":[27],"To":[28,62],"deal":[29],"with":[30],"this":[31,64],"limitation,":[32],"cross-domain":[33],"classification":[35],"has":[36],"been":[37],"proposed,":[38],"in":[39],"there":[41],"is":[42,101],"a":[43],"significant":[44],"difference":[45],"between":[46],"set":[49,57],"as":[50,58],"source":[52],"domain":[53],"target":[60],"domain.":[61],"address":[63],"problem,":[65],"we":[66],"introduce":[67],"idea":[69],"multi-domain":[71,77,85,91],"feature":[72,78,86,92],"selection":[73,79,93],"propose":[75],"representative":[76],"(RMFS)":[80],"algorithm,":[81],"optimizes":[83],"extraction":[87],"stage":[88],"stage.":[94],"The":[95],"effectiveness":[96],"proposed":[99],"algorithm":[100],"demonstrated":[102],"by":[103],"experiments":[104],"on":[105],"benchmark":[107],"Meta-Dataset.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}