{"id":"https://openalex.org/W2891881637","doi":"https://doi.org/10.1155/2018/5940181","title":"Ensemble Learning\u2010Based Person Re\u2010identification with Multiple Feature Representations","display_name":"Ensemble Learning\u2010Based Person Re\u2010identification with Multiple Feature Representations","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891881637","doi":"https://doi.org/10.1155/2018/5940181","mag":"2891881637"},"language":"en","primary_location":{"id":"doi:10.1155/2018/5940181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5940181","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/5940181.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2018/5940181.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100675701","display_name":"Yun Yang","orcid":"https://orcid.org/0000-0002-9893-3436"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Yang","raw_affiliation_strings":["Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming, China","National Pilot School of Software, Yunnan University, Kunming, China","National Pilot School of Software, Yunnan University, Kunming","Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming"],"affiliations":[{"raw_affiliation_string":"Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming, China","institution_ids":["https://openalex.org/I146071755"]},{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689562","display_name":"Xiaofang Liu","orcid":"https://orcid.org/0000-0002-2023-9890"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Liu","raw_affiliation_strings":["Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming, China","National Pilot School of Software, Yunnan University, Kunming, China","Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming","National Pilot School of Software, Yunnan University, Kunming"],"affiliations":[{"raw_affiliation_string":"Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming, China","institution_ids":["https://openalex.org/I146071755"]},{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Kunming Key Laboratory of Data Science and Intelligent Computing, Kunming","institution_ids":["https://openalex.org/I146071755"]},{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048871520","display_name":"Qiongwei Ye","orcid":"https://orcid.org/0000-0002-6948-3894"},"institutions":[{"id":"https://openalex.org/I4210088341","display_name":"University of Finance and Economics","ror":"https://ror.org/005d8s603","country_code":"MN","type":"education","lineage":["https://openalex.org/I4210088341"]},{"id":"https://openalex.org/I49185572","display_name":"Yunnan University of Finance And Economics","ror":"https://ror.org/04rhev598","country_code":"CN","type":"education","lineage":["https://openalex.org/I49185572"]}],"countries":["CN","MN"],"is_corresponding":true,"raw_author_name":"Qiongwei Ye","raw_affiliation_strings":["School of Business, Yunnan University of Finance and Economics, Kunming, China","School of Business, Yunnan University of Finance and Economics, Kunming"],"affiliations":[{"raw_affiliation_string":"School of Business, Yunnan University of Finance and Economics, Kunming, China","institution_ids":["https://openalex.org/I49185572"]},{"raw_affiliation_string":"School of Business, Yunnan University of Finance and Economics, Kunming","institution_ids":["https://openalex.org/I49185572","https://openalex.org/I4210088341"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["School of Information and Engineering, Yunnan University, Kunming, China","School of Information and Engineering, Yunnan University, Kunming"],"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information and Engineering, Yunnan University, Kunming","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048871520"],"corresponding_institution_ids":["https://openalex.org/I4210088341","https://openalex.org/I49185572"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.3812,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86303424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.6980812549591064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555845141410828},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6127367615699768},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6038088798522949},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5333526134490967},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5324968099594116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.523357093334198},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5058717131614685},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.502220630645752},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.45536723732948303},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4541350305080414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44399285316467285},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3318418860435486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1998671293258667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980812549591064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555845141410828},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6127367615699768},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6038088798522949},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5333526134490967},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5324968099594116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.523357093334198},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5058717131614685},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.502220630645752},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.45536723732948303},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4541350305080414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44399285316467285},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3318418860435486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1998671293258667},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2018/5940181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5940181","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/5940181.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:5940181","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/5940181.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:91acff23016f4a87b51d8c098d4bf97e","is_oa":true,"landing_page_url":"https://doaj.org/article/91acff23016f4a87b51d8c098d4bf97e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/5940181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5940181","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/5940181.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4713543433","display_name":null,"funder_award_id":"61402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5471883978","display_name":null,"funder_award_id":"61572486","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5733390078","display_name":null,"funder_award_id":"Grant nos.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6135574011","display_name":null,"funder_award_id":"61663046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6139735162","display_name":null,"funder_award_id":"2016FB105","funder_id":"https://openalex.org/F4320332533","funder_display_name":"Applied Basic Research Foundation of Yunnan Province"},{"id":"https://openalex.org/G802297680","display_name":null,"funder_award_id":"61402397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830114545","display_name":null,"funder_award_id":"2016FB104","funder_id":"https://openalex.org/F4320332533","funder_display_name":"Applied Basic Research Foundation of Yunnan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332533","display_name":"Applied Basic Research Foundation of Yunnan Province","ror":"https://ror.org/030jhb479"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891881637.pdf","grobid_xml":"https://content.openalex.org/works/W2891881637.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1243554","https://openalex.org/W129737085","https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1852739051","https://openalex.org/W1887734902","https://openalex.org/W1920259731","https://openalex.org/W1926032488","https://openalex.org/W1949591461","https://openalex.org/W1967988963","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W1991452654","https://openalex.org/W1993236041","https://openalex.org/W1998443077","https://openalex.org/W2004083143","https://openalex.org/W2012686187","https://openalex.org/W2029287185","https://openalex.org/W2040193698","https://openalex.org/W2042436258","https://openalex.org/W2046649434","https://openalex.org/W2046835352","https://openalex.org/W2048110836","https://openalex.org/W2062368515","https://openalex.org/W2062677035","https://openalex.org/W2063603851","https://openalex.org/W2068042582","https://openalex.org/W2071128523","https://openalex.org/W2089074647","https://openalex.org/W2096306138","https://openalex.org/W2098699644","https://openalex.org/W2098807270","https://openalex.org/W2106053110","https://openalex.org/W2109824782","https://openalex.org/W2113609219","https://openalex.org/W2115669554","https://openalex.org/W2117154949","https://openalex.org/W2118153703","https://openalex.org/W2122378993","https://openalex.org/W2123422288","https://openalex.org/W2126791727","https://openalex.org/W2135442311","https://openalex.org/W2137282724","https://openalex.org/W2137611320","https://openalex.org/W2155916898","https://openalex.org/W2156854584","https://openalex.org/W2157598322","https://openalex.org/W2160761668","https://openalex.org/W2163352848","https://openalex.org/W2169495281","https://openalex.org/W2171033594","https://openalex.org/W2338231020","https://openalex.org/W2471048925","https://openalex.org/W2492303557","https://openalex.org/W2520964758","https://openalex.org/W2556301080","https://openalex.org/W2600278912","https://openalex.org/W2769674252","https://openalex.org/W2794937634","https://openalex.org/W2962766801","https://openalex.org/W3148981562","https://openalex.org/W4255966010","https://openalex.org/W4298190105"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W4309346246","https://openalex.org/W2123144113","https://openalex.org/W3106568383","https://openalex.org/W4234946928"],"abstract_inverted_index":{"As":[0],"an":[1,120,160],"important":[2],"application":[3],"in":[4,59,119],"video":[5],"surveillance,":[6],"person":[7,40,136,177],"reidentification":[8,41,137,178],"enables":[9],"automatic":[10],"tracking":[11],"of":[12,57,101,135,146],"a":[13,31,35,43,64,74,93,98,106,114],"pedestrian":[14],"through":[15],"different":[16,68,90,147,156],"disjointed":[17],"camera":[18],"views.":[19],"It":[20],"essentially":[21],"focuses":[22],"on":[23,155,174],"extracting":[24],"or":[25],"learning":[26,122],"feature":[27,50,148,157],"representations":[28,158],"followed":[29],"by":[30,63,138],"matching":[32,94,110,126,153],"model":[33,95],"using":[34],"distance":[36,107],"metric.":[37],"In":[38,128],"fact,":[39],"is":[42],"difficult":[44],"task":[45],"because,":[46],"first,":[47],"no":[48],"universal":[49],"representation":[51],"can":[52,70],"perfectly":[53],"identify":[54],"the":[55,60,77,84,133,139,144,172],"amount":[56,100],"pedestrians":[58],"gallery":[61],"obtained":[62],"multicamera":[65],"system.":[66],"Although":[67],"features":[69],"be":[71],"fused":[72],"into":[73],"composite":[75],"representation,":[76],"fusion":[78],"still":[79],"does":[80],"not":[81],"fully":[82],"explore":[83],"difference,":[85],"complementarity,":[86],"and":[87,124,150,182],"importance":[88,145],"between":[89],"features.":[91],"Second,":[92],"always":[96],"has":[97],"limited":[99],"training":[102],"samples":[103],"to":[104,159],"learn":[105],"metric":[108],"for":[109],"probe":[111],"images":[112],"against":[113],"gallery,":[115],"which":[116,142],"certainly":[117],"results":[118,186],"unstable":[121],"process":[123],"poor":[125],"result.":[127],"this":[129],"paper,":[130],"we":[131],"address":[132],"issues":[134],"ensemble":[140],"theory,":[141],"explores":[143],"representations,":[149],"reconcile":[151],"several":[152],"models":[154],"optimal":[161],"one":[162],"via":[163],"our":[164,189],"proposed":[165],"weighting":[166],"scheme.":[167],"We":[168],"have":[169],"carried":[170],"out":[171],"simulation":[173],"two":[175],"well\u2010recognized":[176],"benchmark":[179],"datasets:":[180],"VIPeR":[181],"ETHZ.":[183],"The":[184],"experimental":[185],"demonstrate":[187],"that":[188],"approach":[190],"achieves":[191],"state\u2010of\u2010the\u2010art":[192],"performance.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
