{"id":"https://openalex.org/W2734795148","doi":"https://doi.org/10.1109/tpami.2017.2726061","title":"Multi-Gait Recognition Based on Attribute Discovery","display_name":"Multi-Gait Recognition Based on Attribute Discovery","publication_year":2017,"publication_date":"2017-07-12","ids":{"openalex":"https://openalex.org/W2734795148","doi":"https://doi.org/10.1109/tpami.2017.2726061","mag":"2734795148","pmid":"https://pubmed.ncbi.nlm.nih.gov/28708545"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2726061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2726061","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/A5100633270","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-2903-5525"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Guangzhou Key Laboratory of Data Security and Privacy Preserving, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Laboratory of Data Security and Privacy Preserving, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082041657","display_name":"Jian Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Weng","raw_affiliation_strings":["Guangzhou Key Laboratory of Data Security and Privacy Preserving, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Laboratory of Data Security and Privacy Preserving, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083054357","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-4068-1766"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101747914","display_name":"Jiaming Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaming Xu","raw_affiliation_strings":["Baiyun District Bureau of Justice, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Baiyun District Bureau of Justice, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100633270"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":4.8552,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.95730974,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"40","issue":"7","first_page":"1697","last_page":"1710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.8197330236434937},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8011165857315063},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7390749454498291},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6851274967193604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669154167175293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657981276512146},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5364234447479248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5267783403396606},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.4947928786277771},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.46518462896347046},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4186367988586426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38821661472320557},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.10154572129249573}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8197330236434937},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8011165857315063},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7390749454498291},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6851274967193604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669154167175293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657981276512146},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5364234447479248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5267783403396606},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4947928786277771},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.46518462896347046},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4186367988586426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38821661472320557},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.10154572129249573},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077107","descriptor_name":"Gait Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000077107","descriptor_name":"Gait Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000077107","descriptor_name":"Gait Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","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":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2017.2726061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2726061","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:28708545","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28708545","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1542091479","display_name":null,"funder_award_id":"61472165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5806232392","display_name":null,"funder_award_id":"2016A030313350","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7267316459","display_name":null,"funder_award_id":"16lgjc83","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8950068355","display_name":null,"funder_award_id":"61373158","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","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":83,"referenced_works":["https://openalex.org/W1564236611","https://openalex.org/W1834627138","https://openalex.org/W1857884451","https://openalex.org/W1928419358","https://openalex.org/W1986119156","https://openalex.org/W1994529670","https://openalex.org/W1995318441","https://openalex.org/W2003646693","https://openalex.org/W2003723718","https://openalex.org/W2018331988","https://openalex.org/W2018480038","https://openalex.org/W2022633861","https://openalex.org/W2026800967","https://openalex.org/W2038118117","https://openalex.org/W2040270931","https://openalex.org/W2044966771","https://openalex.org/W2047499569","https://openalex.org/W2054382462","https://openalex.org/W2058897916","https://openalex.org/W2059901520","https://openalex.org/W2061208777","https://openalex.org/W2062036973","https://openalex.org/W2064851185","https://openalex.org/W2066606526","https://openalex.org/W2068715223","https://openalex.org/W2087927192","https://openalex.org/W2088557251","https://openalex.org/W2091451699","https://openalex.org/W2098411764","https://openalex.org/W2102356410","https://openalex.org/W2104335344","https://openalex.org/W2110644024","https://openalex.org/W2113325037","https://openalex.org/W2114016557","https://openalex.org/W2118435112","https://openalex.org/W2120861453","https://openalex.org/W2126343324","https://openalex.org/W2126574503","https://openalex.org/W2126680226","https://openalex.org/W2131737076","https://openalex.org/W2134787522","https://openalex.org/W2136391815","https://openalex.org/W2138350282","https://openalex.org/W2147196093","https://openalex.org/W2151458682","https://openalex.org/W2152993203","https://openalex.org/W2154624311","https://openalex.org/W2155135999","https://openalex.org/W2155839910","https://openalex.org/W2160933580","https://openalex.org/W2172093828","https://openalex.org/W2192598490","https://openalex.org/W2204750386","https://openalex.org/W2259801182","https://openalex.org/W2307770531","https://openalex.org/W2322772590","https://openalex.org/W2361187101","https://openalex.org/W2382036597","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2502225121","https://openalex.org/W2510190030","https://openalex.org/W2519373641","https://openalex.org/W2526833393","https://openalex.org/W2531440880","https://openalex.org/W2535110112","https://openalex.org/W2542803194","https://openalex.org/W2583528645","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2953350812","https://openalex.org/W2964154335","https://openalex.org/W2964304707","https://openalex.org/W3098711604","https://openalex.org/W3102668440","https://openalex.org/W6649138653","https://openalex.org/W6675575696","https://openalex.org/W6680285999","https://openalex.org/W6683756719","https://openalex.org/W6728374919","https://openalex.org/W6733567194","https://openalex.org/W6764790789","https://openalex.org/W6784740494"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2163278254","https://openalex.org/W1574213390","https://openalex.org/W1957641636"],"abstract_inverted_index":{"Gait":[0],"recognition":[1,122,126,170,175],"is":[2,40,100,116,134],"an":[3,48],"important":[4],"topic":[5],"in":[6,52,102,111],"biometrics.":[7],"Current":[8],"works":[9],"primarily":[10],"focus":[11],"on":[12,61,138,146],"recognizing":[13],"a":[14,20,42,53,58,74,79,91,113],"single":[15],"person's":[16,21,80],"walking":[17,39,64,183],"gait.":[18],"However,":[19],"gait":[22,35,62,154,174],"will":[23],"change":[24],"when":[25],"they":[26],"walk":[27],"with":[28,65],"other":[29],"people.":[30,67],"How":[31],"to":[32,56,77,118,156],"recognize":[33,57],"the":[34,103,120,125,128,139,152,158,165,178],"of":[36,131,180],"multiple":[37,66,181],"people":[38,182],"still":[41],"challenging":[43],"problem.":[44],"This":[45],"paper":[46],"proposes":[47],"attribute":[49,129],"discovery":[50],"model":[51,99],"max-margin":[54],"framework":[55],"person":[59,133],"based":[60,145],"while":[63],"First,":[68],"human":[69],"graphlets":[70],"are":[71,88,149],"integrated":[72],"into":[73],"tracking-by-detection":[75],"method":[76,167],"obtain":[78],"complete":[81,157],"silhouette.":[82],"Then,":[83],"stable":[84],"and":[85],"discriminative":[86],"attributes":[87,144],"developed":[89],"using":[90],"latent":[92,104],"conditional":[93],"random":[94],"field":[95],"(L-CRF)":[96],"model.":[97,142],"The":[98,160],"trained":[101,140],"structural":[105],"support":[106],"vector":[107],"machine":[108],"(SVM)":[109],"framework,":[110],"which":[112],"new":[114],"constraint":[115],"added":[117],"improve":[119],"multi-gait":[121],"performance.":[123],"In":[124],"process,":[127],"set":[130],"each":[132],"detected":[135],"by":[136],"inferring":[137],"L-CRF":[141],"Finally,":[143],"dense":[147],"trajectories":[148],"extracted":[150],"as":[151],"final":[153],"features":[155],"recognition.":[159],"experimental":[161],"results":[162],"demonstrate":[163],"that":[164],"proposed":[166],"achieves":[168],"better":[169],"performance":[171],"than":[172],"traditional":[173],"methods":[176],"under":[177],"condition":[179],"together.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
