{"id":"https://openalex.org/W2975822918","doi":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-264","title":"Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos","display_name":"Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos","publication_year":2019,"publication_date":"2019-01-10","ids":{"openalex":"https://openalex.org/W2975822918","doi":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-264","mag":"2975822918"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.11.ipas-264","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-264","pdf_url":"https://library.imaging.org/ei/articles/31/11/art00015","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/ei/articles/31/11/art00015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010354503","display_name":"Yi-Ling Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiling Qiao","raw_affiliation_strings":["University of Chinese Academy of Science; Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Science; Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071717542","display_name":"Chang Zheng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Shi","raw_affiliation_strings":["Renmin University of China; Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China; Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037982056","display_name":"Chenjian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenjian Wang","raw_affiliation_strings":["University of California, Los Angeles; Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles; Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["University of California, Los Angeles; Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles; Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047018985","display_name":"Matt Haberland","orcid":"https://orcid.org/0000-0003-4806-3601"},"institutions":[{"id":"https://openalex.org/I149919469","display_name":"California Polytechnic State University","ror":"https://ror.org/001gpfp45","country_code":"US","type":"education","lineage":["https://openalex.org/I149919469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Haberland","raw_affiliation_strings":["California Polytechnic State University; San Luis Obispo, California, USA"],"affiliations":[{"raw_affiliation_string":"California Polytechnic State University; San Luis Obispo, California, USA","institution_ids":["https://openalex.org/I149919469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102727504","display_name":"Xiyang Luo","orcid":"https://orcid.org/0009-0004-4332-8556"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiyang Luo","raw_affiliation_strings":["University of California, Los Angeles; Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles; Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032114852","display_name":"Andrew M. Stuart","orcid":"https://orcid.org/0000-0001-9091-7266"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew M Stuart","raw_affiliation_strings":["California Institute of Technology; Pasadena, California, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology; Pasadena, California, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090707978","display_name":"Andrea L. Bertozzi","orcid":"https://orcid.org/0000-0003-0396-7391"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea L Bertozzi","raw_affiliation_strings":["University of California, Los Angeles; Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles; Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5010354503"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.5781,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76199123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"11","first_page":"264","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9451000094413757,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9106000065803528,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7009087800979614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617566347122192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5501004457473755},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48628461360931396},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4529199004173279},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43222862482070923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4205607771873474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3605315089225769},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2939770221710205}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7009087800979614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617566347122192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5501004457473755},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48628461360931396},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4529199004173279},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43222862482070923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4205607771873474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3605315089225769},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2939770221710205}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.11.ipas-264","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-264","pdf_url":"https://library.imaging.org/ei/articles/31/11/art00015","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt3w93d39s","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/3w93d39s","pdf_url":"https://escholarship.org/content/qt3w93d39s/qt3w93d39s.pdf?t=qdfksp","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Imaging, vol 2019, iss 11","raw_type":"article"},{"id":"pmh:oai:authors.library.caltech.edu:97346","is_oa":true,"landing_page_url":"https://authors.library.caltech.edu/97346/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2019.11.ipas-264","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-264","pdf_url":"https://library.imaging.org/ei/articles/31/11/art00015","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G167957753","display_name":"Uncertainty Quantification for Machine Learning","funder_award_id":"1818977","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5876342273","display_name":null,"funder_award_id":"DMS 1818977","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5948696453","display_name":null,"funder_award_id":"DMS-1737770","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8802953049","display_name":"Extreme-scale algorithms for geometric graphical data models in imaging, social and network science","funder_award_id":"1417674","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998889701","display_name":null,"funder_award_id":"1737770","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2975822918.pdf","grobid_xml":"https://content.openalex.org/works/W2975822918.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W575374134","https://openalex.org/W854053868","https://openalex.org/W1802869730","https://openalex.org/W2007680066","https://openalex.org/W2021080560","https://openalex.org/W2044248322","https://openalex.org/W2087770851","https://openalex.org/W2112796928","https://openalex.org/W2116810533","https://openalex.org/W2132914434","https://openalex.org/W2136504847","https://openalex.org/W2139823104","https://openalex.org/W2147806277","https://openalex.org/W2152322845","https://openalex.org/W2152657433","https://openalex.org/W2161767008","https://openalex.org/W2169898291","https://openalex.org/W2290364503","https://openalex.org/W2345603042","https://openalex.org/W2489340779","https://openalex.org/W2602219729","https://openalex.org/W2900556352","https://openalex.org/W2951405970","https://openalex.org/W2972481208","https://openalex.org/W4237438153","https://openalex.org/W4251206037","https://openalex.org/W6623766018","https://openalex.org/W6638284097","https://openalex.org/W6661198690","https://openalex.org/W6677145381","https://openalex.org/W6681822596","https://openalex.org/W6756389092"],"related_works":["https://openalex.org/W4212963289","https://openalex.org/W585325435","https://openalex.org/W2313844270","https://openalex.org/W4207023496","https://openalex.org/W3136290063","https://openalex.org/W4300003430","https://openalex.org/W4385597704","https://openalex.org/W2616516232","https://openalex.org/W3112552398","https://openalex.org/W4311839758"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1],"uses":[2],"underlying":[3],"relationships":[4],"in":[5,116],"data":[6,38,76],"with":[7,62,80],"a":[8,43,51,56,71,99],"scarcity":[9],"of":[10,89,98,122],"ground-truth":[11],"labels.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,69],"introduce":[17],"an":[18,63],"uncertainty":[19,103],"quantification":[20,104],"(UQ)":[21],"method":[22],"for":[23,36,46,74],"graph-based":[24],"semi-supervised":[25],"multi-class":[26,58],"classification":[27,82,114],"problems.":[28],"We":[29,49,84],"not":[30],"only":[31],"predict":[32],"the":[33,47,81,86,90,96,107],"class":[34],"label":[35],"each":[37,75],"point,":[39],"but":[40],"also":[41],"provide":[42],"confidence":[44,72,92],"score":[45],"prediction.":[48],"adopt":[50],"Bayesian":[52],"approach":[53],"and":[54,106,119],"propose":[55,70],"graphical":[57],"probit":[59],"model":[60],"together":[61],"effective":[64],"Gibbs":[65],"sampling":[66],"procedure.":[67],"Furthermore,":[68],"measure":[73,93],"point":[77],"that":[78],"correlates":[79],"performance.":[83],"use":[85],"empirical":[87],"properties":[88],"proposed":[91],"to":[94,113],"guide":[95],"design":[97],"humanin-the-loop":[100],"system.":[101],"The":[102],"algorithm":[105],"human-in-the-loop":[108],"system":[109],"are":[110],"successfully":[111],"applied":[112],"problems":[115],"image":[117],"processing":[118],"ego-motion":[120],"analysis":[121],"body-worn":[123],"videos.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
