{"id":"https://openalex.org/W4376226654","doi":"https://doi.org/10.1109/tpami.2023.3275162","title":"Few-Shot Partial Multi-View Learning","display_name":"Few-Shot Partial Multi-View Learning","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4376226654","doi":"https://doi.org/10.1109/tpami.2023.3275162","pmid":"https://pubmed.ncbi.nlm.nih.gov/37167050"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3275162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3275162","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5116517471","display_name":"Yuan Zhou","orcid":"https://orcid.org/0009-0003-8890-4011"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068139862","display_name":"Yanrong Guo","orcid":"https://orcid.org/0000-0001-6949-4879"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanrong Guo","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082236264","display_name":"Shijie Hao","orcid":"https://orcid.org/0000-0003-3181-1220"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Hao","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, and School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116517471"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74460567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"10","first_page":"11824","last_page":"11841"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9951000213623047,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.7958495020866394},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.7600782513618469},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6841247081756592},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6755819320678711},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5418636798858643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224053859710693},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4917052388191223},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4534970223903656},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4291382431983948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36183106899261475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7958495020866394},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.7600782513618469},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6841247081756592},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6755819320678711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5418636798858643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224053859710693},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4917052388191223},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4534970223903656},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4291382431983948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36183106899261475},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3275162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3275162","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37167050","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37167050","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1829462488","display_name":null,"funder_award_id":"61932009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2555796984","display_name":null,"funder_award_id":"62172137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4716605303","display_name":null,"funder_award_id":"62072152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5197980865","display_name":null,"funder_award_id":"2019YFA0706200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8480155402","display_name":null,"funder_award_id":"72188101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1497960466","https://openalex.org/W1523385540","https://openalex.org/W1533861849","https://openalex.org/W1614298861","https://openalex.org/W1686810756","https://openalex.org/W1902027874","https://openalex.org/W1937059634","https://openalex.org/W2090101874","https://openalex.org/W2097117768","https://openalex.org/W2107034620","https://openalex.org/W2117539524","https://openalex.org/W2119400998","https://openalex.org/W2131744502","https://openalex.org/W2155904486","https://openalex.org/W2163605009","https://openalex.org/W2181159407","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2472819217","https://openalex.org/W2572663323","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2780925023","https://openalex.org/W2783367877","https://openalex.org/W2787035179","https://openalex.org/W2791716598","https://openalex.org/W2799185441","https://openalex.org/W2894873912","https://openalex.org/W2897402090","https://openalex.org/W2906715444","https://openalex.org/W2953044442","https://openalex.org/W2962722184","https://openalex.org/W2963106996","https://openalex.org/W2963341924","https://openalex.org/W2963350370","https://openalex.org/W2963517422","https://openalex.org/W2963627347","https://openalex.org/W2963680240","https://openalex.org/W2963845150","https://openalex.org/W2964137095","https://openalex.org/W2970947021","https://openalex.org/W2989701968","https://openalex.org/W3030509278","https://openalex.org/W3034942609","https://openalex.org/W3035342403","https://openalex.org/W3035370595","https://openalex.org/W3035751812","https://openalex.org/W3041350610","https://openalex.org/W3093143829","https://openalex.org/W3093471646","https://openalex.org/W3097667724","https://openalex.org/W3098802639","https://openalex.org/W3099183477","https://openalex.org/W3102998533","https://openalex.org/W3108878460","https://openalex.org/W3108975329","https://openalex.org/W3119397537","https://openalex.org/W3120387732","https://openalex.org/W3137030179","https://openalex.org/W3169978599","https://openalex.org/W3181932393","https://openalex.org/W3182874523","https://openalex.org/W3204699193","https://openalex.org/W3210021892","https://openalex.org/W3215900581","https://openalex.org/W4207020661","https://openalex.org/W4249992252","https://openalex.org/W4283801767","https://openalex.org/W4287113019","https://openalex.org/W4297775537","https://openalex.org/W4303633609","https://openalex.org/W6629823275","https://openalex.org/W6631216910","https://openalex.org/W6631943919","https://openalex.org/W6636510571","https://openalex.org/W6637373629","https://openalex.org/W6679775712","https://openalex.org/W6684191040","https://openalex.org/W6684821475","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6731815755","https://openalex.org/W6732703391","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6737664043","https://openalex.org/W6747560774","https://openalex.org/W6748284727","https://openalex.org/W6757530143","https://openalex.org/W6767380147","https://openalex.org/W6780035651","https://openalex.org/W6785382328","https://openalex.org/W6785450627","https://openalex.org/W6797716411","https://openalex.org/W6804369925"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W1977098485","https://openalex.org/W2085630472","https://openalex.org/W1981618449"],"abstract_inverted_index":{"It":[0],"is":[1,21,41,132],"often":[2],"the":[3,16,66,90,112,116,120,136,142,148,162,186,201],"case":[4],"that":[5],"data":[6,25,36,45,52,139,152,204],"are":[7,128,183],"with":[8],"multiple":[9],"views":[10],"in":[11,35,100,119,165],"real-world":[12],"applications.":[13],"Fully":[14],"exploring":[15],"information":[17,154],"of":[18,56,115,125,138,144,151,203],"each":[19],"view":[20,49,207],"significant":[22],"for":[23,43,185],"making":[24,157],"more":[26,62,87],"representative.":[27],"However,":[28],"due":[29],"to":[30,46,64,71,85,92,134,160,216],"various":[31],"limitations":[32],"and":[33,38,51,206,230],"failures":[34],"collection":[37],"pre-processing,":[39],"it":[40,61,131,158],"inevitable":[42],"real":[44],"suffer":[47],"from":[48,89],"missing":[50,145,208],"scarcity.":[53],"The":[54,123,179,220,236],"coexistence":[55],"these":[57,80,169],"two":[58,81],"issues":[59,82],"makes":[60],"challenging":[63],"achieve":[65],"pattern":[67],"classification":[68],"task.":[69],"Currently,":[70],"our":[72,218],"best":[73],"knowledge,":[74],"few":[75],"appropriate":[76],"methods":[77],"can":[78,209],"well-handle":[79],"simultaneously.":[83],"Aiming":[84],"draw":[86],"attention":[88],"community":[91],"this":[93,101,126],"challenge,":[94],"we":[95,171],"propose":[96,172],"a":[97,173,195],"new":[98,174],"task":[99,127],"paper,":[102],"called":[103],"few-shot":[104],"partial":[105,188],"multi-view":[106,189],"learning,":[107],"which":[108],"focuses":[109],"on":[110,222],"overcoming":[111],"negative":[113],"impact":[114,137],"view-missing":[117,163],"issue":[118,164],"low-data":[121],"regime.":[122],"challenges":[124],"twofold:":[129],"(i)":[130],"difficult":[133],"overcome":[135],"scarcity":[140,205],"under":[141],"interference":[143],"views;":[146],"(ii)":[147],"limited":[149,187],"number":[150],"exacerbates":[153],"scarcity,":[155],"thus":[156],"harder":[159],"address":[161,168],"turn.":[166],"To":[167],"challenges,":[170],"unified":[175,180,196],"Gaussian":[176],"dense-anchoring":[177],"method.":[178,219],"dense":[181,197],"anchors":[182],"learned":[184],"data,":[190],"thereby":[191],"anchoring":[192],"them":[193],"into":[194],"representation":[198],"space":[199],"where":[200],"influence":[202],"be":[210,239],"alleviated.":[211],"We":[212],"conduct":[213],"extensive":[214],"experiments":[215],"evaluate":[217],"results":[221],"Cub-googlenet-doc2vec,":[223],"Handwritten,":[224],"Caltech102,":[225],"Scene15,":[226],"Animal,":[227],"ORL,":[228],"tieredImagenet,":[229],"Birds-200-2011":[231],"datasets":[232],"validate":[233],"its":[234],"effectiveness.":[235],"codes":[237],"will":[238],"released":[240],"at":[241],"https://github.com/zhouyuan888888/UGDA.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
