乐胖代购免代理版

{"id":"https://openalex.org/W2776541261","doi":"https://doi.org/10.1145/3152121","title":"Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition","display_name":"Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition","publication_year":2017,"publication_date":"2017-12-20","ids":{"openalex":"https://openalex.org/W2776541261","doi":"https://doi.org/10.1145/3152121","mag":"2776541261"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152121","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5059530979","display_name":"Dan Guo","orcid":"https://orcid.org/0000-0003-2594-254X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Guo","raw_affiliation_strings":["Hefei University of Technology, Hefei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"funder","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, P. R. China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"funder","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, P. R. China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology, Hefei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, P. R. China","institution_ids":["https://openalex.org/I16365422"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.329,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":55,"citation_normalized_percentile":{"value":0.863528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"14","issue":"1","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9915,"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":0.9846,"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/feature","display_name":"Feature (linguistics)","score":0.62104726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169012},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.71314},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.62104726},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6047803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56387407},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5599016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52108157},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4935416},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.4915608},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.43137833},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42570525},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.42040718},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41134155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14903393},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152121","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.58,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61432019 and 61632019"}],"datasets":[],"versions":[],"referenced_works_count":64,"referenced_works":["https://openalex.org/W1506441995","https://openalex.org/W1550277507","https://openalex.org/W1568156700","https://openalex.org/W1581934507","https://openalex.org/W1820015093","https://openalex.org/W1906915714","https://openalex.org/W1935207225","https://openalex.org/W1968073106","https://openalex.org/W1972692077","https://openalex.org/W1995113806","https://openalex.org/W1999817731","https://openalex.org/W2014233635","https://openalex.org/W2016171122","https://openalex.org/W2024082504","https://openalex.org/W2046561909","https://openalex.org/W2061272711","https://openalex.org/W2066142224","https://openalex.org/W2066477856","https://openalex.org/W2069682406","https://openalex.org/W2085489682","https://openalex.org/W2095609079","https://openalex.org/W2116790095","https://openalex.org/W2125201599","https://openalex.org/W2132832266","https://openalex.org/W2136885397","https://openalex.org/W2143267104","https://openalex.org/W2144994235","https://openalex.org/W2158275940","https://openalex.org/W2161149720","https://openalex.org/W2165232124","https://openalex.org/W2171096036","https://openalex.org/W2240947865","https://openalex.org/W2295038166","https://openalex.org/W2295474072","https://openalex.org/W2342662179","https://openalex.org/W2403878043","https://openalex.org/W2471695703","https://openalex.org/W2475715656","https://openalex.org/W2499974702","https://openalex.org/W2511561981","https://openalex.org/W2515446175","https://openalex.org/W2516844836","https://openalex.org/W2518448700","https://openalex.org/W2526479943","https://openalex.org/W2557692207","https://openalex.org/W2594683362","https://openalex.org/W2599272240","https://openalex.org/W2607014458","https://openalex.org/W2618530766","https://openalex.org/W2624442909","https://openalex.org/W2625022521","https://openalex.org/W2732477051","https://openalex.org/W2962992847","https://openalex.org/W2963173190","https://openalex.org/W2963192057","https://openalex.org/W2964184470","https://openalex.org/W2997437965","https://openalex.org/W3006305366","https://openalex.org/W3143218145","https://openalex.org/W4249142012","https://openalex.org/W4254181784","https://openalex.org/W4256229258","https://openalex.org/W619311409","https://openalex.org/W750055709"],"related_works":["https://openalex.org/W577271088","https://openalex.org/W4389049376","https://openalex.org/W4308478915","https://openalex.org/W2893683540","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W2180954594","https://openalex.org/W2066003895","https://openalex.org/W1986488374"],"abstract_inverted_index":{"In":[0,51],"sign":[1,9,66,100],"language":[2],"recognition":[3],"(SLR)":[4],"with":[5,210],"multimodal":[6],"data,":[7],"a":[8,25,129,149],"word":[10],"can":[11],"be":[12],"represented":[13],"by":[14,101],"multiply":[15],"features,":[16],"for":[17,190],"which":[18],"there":[19],"exist":[20],"an":[21,38,88,111],"intrinsic":[22,55],"property":[23],"and":[24,77,145,200,228],"mutually":[26],"complementary":[27,107,131],"relationship":[28],"among":[29],"them.":[30],"To":[31],"fully":[32],"explore":[33],"those":[34,143],"relationships,":[35],"we":[36,57,109],"propose":[37,87,110],"online":[39,112],"early-late":[40,113],"fusion":[41,114,118,136,155,158,173,196],"method":[42,91,225],"based":[43],"on":[44,206,215],"the":[45,54,72,94,106,134,140,157,169,172,179,182,185,204,207],"adaptive":[46,89],"Hidden":[47],"Markov":[48],"Model":[49],"(HMM).":[50],"terms":[52],"of":[53,64,74,98,142,184],"property,":[56],"discover":[58],"that":[59],"inherent":[60],"latent":[61],"change":[62],"states":[63],"each":[65,99,191],"are":[67],"related":[68],"not":[69],"only":[70],"to":[71,82,92,123,127,178,220],"number":[73,97],"key":[75],"gestures":[76],"body":[78],"poses":[79],"but":[80],"also":[81],"their":[83],"translation":[84],"relationships.":[85],"We":[86],"HMM":[90],"obtain":[93],"hidden":[95],"state":[96],"affinity":[102],"propagation":[103],"clustering.":[104],"For":[105,162],"relationship,":[108],"scheme.":[115],"The":[116,194],"early":[117],"(feature":[119],"fusion)":[120,138],"is":[121,159,175,198],"dedicated":[122],"preserving":[124],"useful":[125],"information":[126],"achieve":[128],"better":[130],"score,":[132],"while":[133],"late":[135],"(score":[137],"uncovers":[139],"significance":[141],"features":[144],"aggregates":[146],"them":[147],"in":[148],"weighting":[150],"manner.":[151],"Different":[152],"from":[153],"classical":[154],"methods,":[156],"query":[160,187],"adaptive.":[161],"different":[163,216,221],"queries,":[164],"after":[165],"feature":[166],"selection":[167],"(including":[168],"combined":[170],"feature),":[171],"weight":[174],"inversely":[176],"proportional":[177],"area":[180],"under":[181],"curve":[183],"normalized":[186],"score":[188],"list":[189],"selected":[192],"feature.":[193],"whole":[195],"process":[197],"effective":[199],"efficient.":[201],"Experiments":[202],"verify":[203],"effectiveness":[205],"signer-independent":[208],"SLR":[209,222],"large":[211],"vocabulary.":[212],"Compared":[213],"either":[214],"dataset":[217],"sizes":[218],"or":[219],"models,":[223],"our":[224],"demonstrates":[226],"consistent":[227],"promising":[229],"performance.":[230]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2776541261","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5}],"updated_date":"2025-02-16T17:47:03.489062","created_date":"2018-01-05"}