{"id":"https://openalex.org/W2059396581","doi":"https://doi.org/10.1109/robio.2013.6739800","title":"Place recognition based on Latent Dirichlet Allocation using Markov chain Monte Carlo method","display_name":"Place recognition based on Latent Dirichlet Allocation using Markov chain Monte Carlo method","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2059396581","doi":"https://doi.org/10.1109/robio.2013.6739800","mag":"2059396581"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"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/A5034276009","display_name":"Tao Xie","orcid":"https://orcid.org/0000-0001-8943-4742"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Tao Xie","raw_affiliation_strings":["Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","institution_ids":["https://openalex.org/I4210116723"]},{"raw_affiliation_string":"Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100979363","display_name":"Jinfu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jinfu Yang","raw_affiliation_strings":["Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","institution_ids":["https://openalex.org/I4210116723"]},{"raw_affiliation_string":"Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897545","display_name":"Mingai Li","orcid":"https://orcid.org/0000-0003-0718-8555"},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Mingai Li","raw_affiliation_strings":["Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","institution_ids":["https://openalex.org/I4210116723"]},{"raw_affiliation_string":"Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040007011","display_name":"Weiwei Zhao","orcid":"https://orcid.org/0000-0001-8507-1921"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Weiwei Zhao","raw_affiliation_strings":["Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Robotics Beijing University of Technology, Beijing, CO, PRC","institution_ids":["https://openalex.org/I4210116723"]},{"raw_affiliation_string":"Inst. of Artificial Intell. & Robot., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034276009"],"corresponding_institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210116723"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1254119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2225","last_page":"2230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8263982534408569},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8091366291046143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937915086746216},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.652341365814209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180877685546875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4643099308013916},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.451078325510025},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4132123589515686},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.41069602966308594},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.39991119503974915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38295871019363403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3272247314453125},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2683789134025574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18545258045196533},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11024311184883118}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8263982534408569},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8091366291046143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937915086746216},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.652341365814209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180877685546875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4643099308013916},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.451078325510025},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4132123589515686},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.41069602966308594},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.39991119503974915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38295871019363403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3272247314453125},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2683789134025574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18545258045196533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11024311184883118}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":26,"referenced_works":["https://openalex.org/W75004308","https://openalex.org/W1546715894","https://openalex.org/W1880262756","https://openalex.org/W1963985200","https://openalex.org/W1996977322","https://openalex.org/W2005750530","https://openalex.org/W2022231668","https://openalex.org/W2036718463","https://openalex.org/W2096680898","https://openalex.org/W2107034620","https://openalex.org/W2107743791","https://openalex.org/W2110591510","https://openalex.org/W2120340025","https://openalex.org/W2128554449","https://openalex.org/W2130917470","https://openalex.org/W2132185185","https://openalex.org/W2149035855","https://openalex.org/W2149095485","https://openalex.org/W2163679817","https://openalex.org/W4233135949","https://openalex.org/W4237791300","https://openalex.org/W4243595379","https://openalex.org/W4293052541","https://openalex.org/W6632732690","https://openalex.org/W6674773823","https://openalex.org/W6681769576"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W2963960970","https://openalex.org/W4302573481","https://openalex.org/W2505308168"],"abstract_inverted_index":{"Place":[0],"or":[1],"scene":[2],"recognition":[3,66],"is":[4,48,98],"an":[5,110],"important":[6],"competence":[7],"of":[8,40,44,56,85,93,103,106],"mobile":[9],"robots":[10],"for":[11,52,77],"operating":[12],"in":[13,30,149],"a":[14,22,41,49,63,91],"real":[15],"dynamic":[16],"environment.":[17],"Latent":[18],"Dirichlet":[19],"Allocation":[20],"(LDA),":[21],"popular":[23],"probabilistic":[24],"model,":[25],"can":[26,114,128],"achieve":[27],"outstanding":[28],"performance":[29],"image":[31,113,142],"recognition,":[32],"and":[33,139],"it":[34],"has":[35],"been":[36],"attracted":[37],"the":[38,53,82,132],"attention":[39],"large":[42],"number":[43],"researchers.":[45],"Parameter":[46],"estimation":[47],"key":[50],"step":[51],"learning":[54],"procedure":[55],"LDA.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"novel":[64],"place":[65],"approach":[67],"based":[68],"on":[69],"LDA":[70,104],"using":[71],"Markov":[72],"chain":[73],"Monte":[74],"Carlo":[75],"(MCMC)":[76],"approximate":[78],"inference":[79,134],"technique.":[80],"Firstly,":[81],"training":[83],"images":[84],"each":[86],"category":[87],"are":[88],"represented":[89],"as":[90],"set":[92,143],"different":[94,146],"themes.":[95],"And":[96],"MCMC":[97],"employed":[99],"to":[100,118],"estimate":[101],"parameters":[102],"instead":[105],"variational":[107,133],"inference.":[108],"Then":[109],"unknown":[111],"test":[112],"be":[115],"recognized":[116],"according":[117],"its":[119],"themes":[120],"distribution.":[121],"Experimental":[122],"results":[123],"show":[124],"that":[125],"our":[126,140,150],"method":[127],"perform":[129],"better":[130],"than":[131],"algorithm":[135],"over":[136],"IDOL2":[137],"database":[138],"own":[141],"captured":[144],"under":[145],"imaging":[147],"conditions":[148],"campus.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
