{"id":"https://openalex.org/W2046772862","doi":"https://doi.org/10.1109/ijcnn.2014.6889927","title":"Probabilistic point set matching with Gaussian mixture model","display_name":"Probabilistic point set matching with Gaussian mixture model","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2046772862","doi":"https://doi.org/10.1109/ijcnn.2014.6889927","mag":"2046772862"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101793405","display_name":"Hanbing Qu","orcid":"https://orcid.org/0000-0002-5603-8572"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Bing Qu","raw_affiliation_strings":["Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382043","display_name":"Jiaqiang Wang","orcid":"https://orcid.org/0000-0003-2601-7815"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Qiang Wang","raw_affiliation_strings":["Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365252","display_name":"Bin Li","orcid":"https://orcid.org/0000-0003-1073-6188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535057","display_name":"Yue Feng","orcid":"https://orcid.org/0000-0002-0529-6045"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yue","raw_affiliation_strings":["Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758368","display_name":"Wei Jin","orcid":"https://orcid.org/0000-0001-8425-6721"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jin","raw_affiliation_strings":["Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"Key Lab. of Pattern Recognition, Beijing Acad. of Sci. & Technol., Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9255,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76974864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"100","issue":null,"first_page":"2100","last_page":"2107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9779999852180481,"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/gaussian","display_name":"Gaussian","score":0.6471353769302368},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6398606300354004},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5894306898117065},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5891125798225403},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5876225829124451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5433389544487},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5268135070800781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.493085116147995},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.466705322265625},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4650861620903015},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46112555265426636},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4138477146625519},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4136066734790802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3599967360496521},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35708528757095337},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.2878301739692688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26094692945480347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1254991888999939}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6471353769302368},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6398606300354004},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5894306898117065},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5891125798225403},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5876225829124451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5433389544487},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5268135070800781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.493085116147995},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.466705322265625},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4650861620903015},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46112555265426636},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4138477146625519},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4136066734790802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3599967360496521},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35708528757095337},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2878301739692688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26094692945480347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1254991888999939},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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":23,"referenced_works":["https://openalex.org/W1573751879","https://openalex.org/W2000086166","https://openalex.org/W2038952578","https://openalex.org/W2048423509","https://openalex.org/W2091375548","https://openalex.org/W2101246407","https://openalex.org/W2104346056","https://openalex.org/W2110463399","https://openalex.org/W2114354851","https://openalex.org/W2115979064","https://openalex.org/W2118073449","https://openalex.org/W2122870750","https://openalex.org/W2134236847","https://openalex.org/W2137089267","https://openalex.org/W2150190641","https://openalex.org/W2151592092","https://openalex.org/W2169633581","https://openalex.org/W2171490473","https://openalex.org/W4249303080","https://openalex.org/W4251320132","https://openalex.org/W6634407852","https://openalex.org/W6676791907","https://openalex.org/W6677635564"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2955958993","https://openalex.org/W2037742058","https://openalex.org/W2065823269","https://openalex.org/W2545529375","https://openalex.org/W2968374624"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,44],"variational":[6,28,95],"approximation":[7,96],"approach":[8],"in":[9,41,114],"combination":[10,93],"with":[11,15,69,97,103],"isotropic":[12],"Gaussian":[13,67],"mixtures":[14,68],"regard":[16],"to":[17,33,62,110],"each":[18],"individual":[19],"transformed":[20],"points":[21,80],"for":[22,54,75],"point":[23],"set":[24],"matching":[25,55],"problems.":[26],"A":[27],"inference":[29],"algorithm":[30,102],"is":[31,47,58],"formulated":[32],"update":[34],"the":[35,38,66,76,83,92,115],"posteriors":[36],"of":[37,78,82,94,106,117],"random":[39],"variables":[40],"sequence":[42],"until":[43],"local":[45,63],"optimum":[46],"reached.":[48],"The":[49,87],"probabilistic":[50],"framework":[51],"explicitly":[52],"accounts":[53],"uncertainty":[56],"and":[57,108],"thus":[59],"less":[60],"prone":[61],"optima.":[64],"Furthermore,":[65],"anisotropic":[70],"covariance":[71],"are":[72],"also":[73],"proposed":[74],"modeling":[77],"spurious":[79],"instead":[81],"one":[84],"uniform":[85],"distribution.":[86],"experimental":[88],"results":[89],"show":[90],"that":[91],"mixture":[98],"model":[99],"provides":[100],"our":[101],"comparable":[104],"performance":[105],"accuracy":[107],"robustness":[109],"other":[111],"registration":[112],"algorithms":[113],"presence":[116],"outliers.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}