{"id":"https://openalex.org/W1495449860","doi":"https://doi.org/10.1109/icaci.2015.7184788","title":"Vehicle classification based on the fusion of deep network features and traditional features","display_name":"Vehicle classification based on the fusion of deep network features and traditional features","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1495449860","doi":"https://doi.org/10.1109/icaci.2015.7184788","mag":"1495449860"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2015.7184788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","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/A5018784820","display_name":"Hua Qian","orcid":"https://orcid.org/0000-0001-8290-879X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Qian","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048067916","display_name":"Yaying Zhang","orcid":"https://orcid.org/0000-0001-9552-3274"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaying Zhang","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689891","display_name":"Chunmei Liu","orcid":"https://orcid.org/0000-0002-8973-8217"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Liu","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018784820"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.3464,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82052168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"257","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14270","display_name":"Simulation and Modeling Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9786999821662903,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7636796832084656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249862551689148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6490470170974731},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6186047196388245},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6127797961235046},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5974982380867004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5893510580062866},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5554076433181763},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4902680218219757},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4871041774749756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636796832084656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249862551689148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6490470170974731},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6186047196388245},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6127797961235046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5974982380867004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5893510580062866},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5554076433181763},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4902680218219757},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4871041774749756},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2015.7184788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","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":22,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1596717185","https://openalex.org/W1976551174","https://openalex.org/W1978280360","https://openalex.org/W2035233697","https://openalex.org/W2100495367","https://openalex.org/W2104671752","https://openalex.org/W2119554284","https://openalex.org/W2130325614","https://openalex.org/W2132461991","https://openalex.org/W2142318951","https://openalex.org/W2149845449","https://openalex.org/W2154683974","https://openalex.org/W2163352848","https://openalex.org/W2169915211","https://openalex.org/W2361223075","https://openalex.org/W2364911851","https://openalex.org/W2365234836","https://openalex.org/W2372721032","https://openalex.org/W6601785968","https://openalex.org/W6681900609","https://openalex.org/W6684955264"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W3004069267","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756","https://openalex.org/W3040832198"],"abstract_inverted_index":{"Consider":[0],"to":[1,73,95],"the":[2,18,33,43,48,77,80,88,103,108],"defect":[3],"of":[4,20,23,36,61,82,105,111],"traditional":[5,28,34,98],"features":[6,22,29,35,45,62],"which":[7],"have":[8],"high":[9],"empirical":[10],"components.":[11],"A":[12],"vehicle":[13,49],"classification":[14],"algorithm":[15,89],"based":[16],"on":[17],"fusion":[19],"higher-layer":[21,44],"a":[24,91],"deep":[25,52],"network":[26],"and":[27,38,75],"was":[30],"proposed.":[31],"Firstly,":[32],"PHOG":[37],"LBP-EOH":[39],"were":[40,55],"extracted.":[41],"Secondly,":[42],"excavated":[46],"from":[47],"pictures":[50],"by":[51,64],"belief":[53],"networks":[54],"added,":[56],"making":[57],"these":[58],"three":[59],"kinds":[60],"together":[63],"feature":[65],"fusion.":[66],"Finally,":[67],"support":[68],"vector":[69],"machine":[70],"is":[71,85],"used":[72],"train":[74],"classify":[76],"vehicle.":[78],"When":[79],"number":[81],"training":[83],"samples":[84],"large":[86],"enough,":[87],"has":[90],"significant":[92],"effect":[93],"compared":[94],"those":[96],"with":[97],"features.":[99],"It":[100],"can":[101],"achieve":[102],"accuracy":[104],"95%":[106],"in":[107],"six":[109],"categories":[110],"vehicles.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}