{"id":"https://openalex.org/W4416010438","doi":"https://doi.org/10.1109/tip.2025.3627418","title":"Informative Sample Selection Model for Skeleton-Based Action Recognition With Limited Training Samples","display_name":"Informative Sample Selection Model for Skeleton-Based Action Recognition With Limited Training Samples","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416010438","doi":"https://doi.org/10.1109/tip.2025.3627418","pmid":"https://pubmed.ncbi.nlm.nih.gov/41201939"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3627418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3627418","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5074405661","display_name":"Zhigang Tu","orcid":"https://orcid.org/0000-0001-5003-2260"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Tu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5003-2260","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031460813","display_name":"Zhengbo Zhang","orcid":"https://orcid.org/0009-0000-8956-0095"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhengbo Zhang","raw_affiliation_strings":["Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Tampines, Singapore","Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore"],"raw_orcid":"https://orcid.org/0009-0000-8956-0095","affiliations":[{"raw_affiliation_string":"Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Tampines, Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109167808","display_name":"Jia Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I129335695","display_name":"Shanghai Academy of Social Sciences","ror":"https://ror.org/04xa4q582","country_code":"CN","type":"facility","lineage":["https://openalex.org/I129335695"]},{"id":"https://openalex.org/I4210149979","display_name":"Shanghai Academy of Environmental Sciences","ror":"https://ror.org/05stnhf77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210149979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Gong","raw_affiliation_strings":["Shanghai Academy of AI for Science, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Academy of AI for Science, Shanghai, China","institution_ids":["https://openalex.org/I129335695","https://openalex.org/I4210149979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7324-7034"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA","Department of Computer Science and Engineering, University at Buffalo, State University of New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-7324-7034","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, State University of New York, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2358,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95074166,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"7335","last_page":"7346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9616000056266785,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9616000056266785,"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/T12290","display_name":"Human Motion and Animation","score":0.0066999997943639755,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.004800000227987766,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.5683000087738037},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5521000027656555},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5494999885559082},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5354999899864197},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5095000267028809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5052000284194946},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4253000020980835},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.40619999170303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329999804496765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5841000080108643},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5494999885559082},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.40619999170303345},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3443000018596649},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25440001487731934}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3627418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3627418","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41201939","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41201939","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6106793646","display_name":null,"funder_award_id":"2042023KF0180","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6891033150","display_name":null,"funder_award_id":"2024YFC3015600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7968100198","display_name":null,"funder_award_id":"2042025KF0053","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1580210754","https://openalex.org/W1874503286","https://openalex.org/W1950788856","https://openalex.org/W2054041160","https://openalex.org/W2072070523","https://openalex.org/W2145339207","https://openalex.org/W2328968948","https://openalex.org/W2398232863","https://openalex.org/W2510185399","https://openalex.org/W2510249351","https://openalex.org/W2604321021","https://openalex.org/W2746553466","https://openalex.org/W2782776028","https://openalex.org/W2787919227","https://openalex.org/W2804340531","https://openalex.org/W2907214745","https://openalex.org/W2913926115","https://openalex.org/W2917819557","https://openalex.org/W2940457086","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W2986514296","https://openalex.org/W3092424783","https://openalex.org/W3093411241","https://openalex.org/W3101466234","https://openalex.org/W3106776857","https://openalex.org/W3110608319","https://openalex.org/W3191973200","https://openalex.org/W3203634062","https://openalex.org/W3205106480","https://openalex.org/W3209114016","https://openalex.org/W4225292349","https://openalex.org/W4240042586","https://openalex.org/W4281752744","https://openalex.org/W4296478337","https://openalex.org/W4296913591","https://openalex.org/W4312661503","https://openalex.org/W4312982586","https://openalex.org/W4367047633","https://openalex.org/W4381198761","https://openalex.org/W4385834325","https://openalex.org/W4386065571","https://openalex.org/W4386076499","https://openalex.org/W4389459415","https://openalex.org/W4393170627","https://openalex.org/W4402660150","https://openalex.org/W4403886057","https://openalex.org/W4413147522"],"related_works":[],"abstract_inverted_index":{"Skeleton-based":[0],"human":[1,7],"action":[2,138,161,251],"recognition":[3,32,162,252],"aims":[4,59],"to":[5,60,88,111,195,226,236],"classify":[6],"skeletal":[8,27],"sequences,":[9],"which":[10,58],"are":[11],"spatiotemporal":[12],"representations":[13],"of":[14,26,36,200,210,240,257],"actions,":[15],"into":[16,92],"predefined":[17],"categories.":[18],"To":[19,154,205],"reduce":[20],"the":[21,34,63,113,118,124,133,137,141,181,198,207,211,214,238,255],"reliance":[22],"on":[23,248],"costly":[24],"annotations":[25],"sequences":[28,91,116,128,202],"while":[29],"maintaining":[30],"competitive":[31],"accuracy,":[33],"task":[35],"3D":[37,48,75,160,250],"Action":[38,49,76],"Recognition":[39,77],"with":[40,100],"Limited":[41],"Training":[42],"Samples,":[43],"also":[44],"known":[45],"as":[46,140,173],"semi-supervised":[47,74],"Recognition,":[50],"has":[51,70],"been":[52,71],"proposed.":[53],"In":[54],"addition,":[55],"active":[56,164],"learning,":[57],"proactively":[61],"select":[62],"most":[64,114,125,134],"informative":[65,115,135,191],"unlabeled":[66,119],"samples":[67],"for":[68,78,121,136,203],"annotation,":[69],"explored":[72],"in":[73,117,213,243],"training":[79,186],"sample":[80,192],"selection.":[81],"Specifically,":[82],"researchers":[83],"adopt":[84],"an":[85,190],"encoder-decoder":[86],"framework":[87,183],"embed":[89],"skeleton":[90,127,152,201],"a":[93,101,106,167,174,232],"latent":[94],"space,":[95],"where":[96],"clustering":[97],"information,":[98],"combined":[99],"margin-based":[102],"selection":[103,193,199],"strategy":[104,235],"using":[105],"multi-head":[107],"mechanism,":[108],"is":[109],"utilized":[110],"identify":[112],"set":[120],"annotation.":[122,204],"However,":[123],"representative":[126],"may":[129,143],"not":[130],"necessarily":[131],"be":[132],"recognizer,":[139],"model":[142,194],"have":[144],"already":[145],"acquired":[146],"similar":[147],"knowledge":[148],"from":[149,166,223],"previously":[150],"seen":[151],"samples.":[153],"solve":[155],"it,":[156],"we":[157,188,220,230],"reformulate":[158],"Semi-supervised":[159],"via":[163],"learning":[165],"novel":[168],"perspective":[169],"by":[170],"casting":[171],"it":[172],"Markov":[175],"Decision":[176],"Process":[177],"(MDP).":[178],"Built":[179],"upon":[180],"MDP":[182],"and":[184],"its":[185],"paradigm,":[187],"train":[189],"intelligently":[196],"guide":[197],"enhance":[206],"representational":[208],"capacity":[209],"factors":[212],"state-action":[215],"pairs":[216],"within":[217],"our":[218,241,258],"method,":[219],"project":[221],"them":[222],"Euclidean":[224],"space":[225],"hyperbolic":[227],"space.":[228],"Furthermore,":[229],"introduce":[231],"meta":[233],"tuning":[234],"accelerate":[237],"deployment":[239],"method":[242],"real-world":[244],"scenarios.":[245],"Extensive":[246],"experiments":[247],"three":[249],"benchmarks":[253],"demonstrate":[254],"effectiveness":[256],"method.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-11-07T00:00:00"}