{"id":"https://openalex.org/W2605446432","doi":"https://doi.org/10.1177/1550147717701435","title":"Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries","display_name":"Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2605446432","doi":"https://doi.org/10.1177/1550147717701435","mag":"2605446432"},"language":"en","primary_location":{"id":"doi:10.1177/1550147717701435","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147717701435","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147717701435","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"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":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147717701435","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100431313","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-7974-9510"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045519742","display_name":"Zhihai He","orcid":"https://orcid.org/0000-0002-2647-8286"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihai He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100431313"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.1865,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4207587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":"4","first_page":"155014771770143","last_page":"155014771770143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.811803936958313},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7571156024932861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7280845642089844},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7140897512435913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352612972259521},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5748938322067261},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.48908668756484985},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4701281487941742},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4401874840259552},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42444413900375366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10057735443115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811803936958313},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7571156024932861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7280845642089844},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7140897512435913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352612972259521},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5748938322067261},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.48908668756484985},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4701281487941742},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4401874840259552},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42444413900375366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10057735443115234},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1550147717701435","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147717701435","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147717701435","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"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":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:13:y:2017:i:4:p:1550147717701435","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147717701435","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:d7ea6021cb184e669b81d597568d2f02","is_oa":true,"landing_page_url":"https://doaj.org/article/d7ea6021cb184e669b81d597568d2f02","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":"International Journal of Distributed Sensor Networks, Vol 13 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147717701435","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147717701435","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147717701435","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"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":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G5579581089","display_name":null,"funder_award_id":"61375015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G789429447","display_name":null,"funder_award_id":"61301027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605446432.pdf","grobid_xml":"https://content.openalex.org/works/W2605446432.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W21435260","https://openalex.org/W1591116419","https://openalex.org/W1606627838","https://openalex.org/W1808256548","https://openalex.org/W1849847883","https://openalex.org/W1890834058","https://openalex.org/W1981745143","https://openalex.org/W1989337816","https://openalex.org/W2014994687","https://openalex.org/W2063853231","https://openalex.org/W2073940236","https://openalex.org/W2097380742","https://openalex.org/W2104028415","https://openalex.org/W2109743529","https://openalex.org/W2111896212","https://openalex.org/W2113577207","https://openalex.org/W2113945798","https://openalex.org/W2115429828","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2132680427","https://openalex.org/W2139212933","https://openalex.org/W2142848040","https://openalex.org/W2145096794","https://openalex.org/W2157017541","https://openalex.org/W2158001550","https://openalex.org/W2160547390","https://openalex.org/W2163112044","https://openalex.org/W2163398148","https://openalex.org/W2170239483","https://openalex.org/W2296399167","https://openalex.org/W2544883878","https://openalex.org/W4214479146","https://openalex.org/W4232916993","https://openalex.org/W4235713725","https://openalex.org/W4244210162","https://openalex.org/W4249990232","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W1603091392","https://openalex.org/W2095626363","https://openalex.org/W4389428786","https://openalex.org/W2364439724","https://openalex.org/W2079825755","https://openalex.org/W4389251307","https://openalex.org/W2420851703","https://openalex.org/W2974741803","https://openalex.org/W2089892314"],"abstract_inverted_index":{"Sparse":[0],"representation\u2013based":[1,54,65,112,140],"classification":[2,66,113,141],"and":[3,74],"kernel":[4,52,63,83,110,138],"methods":[5,10,149],"have":[6],"emerged":[7],"as":[8],"important":[9],"for":[11,56],"pattern":[12],"recognition.":[13,58],"In":[14,59],"this":[15],"work,":[16],"we":[17,45,99],"study":[18],"the":[19,33,60,96,108,135,151],"problem":[20],"of":[21,70],"vehicle":[22,57,116,154],"recognition":[23,34,97,117,155],"using":[24,81],"acoustic":[25,68,119,158],"sensor":[26,38,120,159],"networks":[27],"in":[28,150],"real-world":[29],"applications.":[30],"To":[31,94],"improve":[32,95],"accuracy":[35],"with":[36,143],"noise":[37],"data":[39],"collected":[40],"from":[41,118,156],"challenging":[42],"sensing":[43],"environments,":[44],"develop":[46],"a":[47,77,82],"new":[48],"method,":[49,67],"called":[50],"multiple":[51,62,87,109,137],"sparse":[53,64,111,139],"classification,":[55],"proposed":[61,136],"features":[69],"vehicles":[71],"are":[72],"extracted":[73],"mapped":[75],"into":[76,107,125],"high-dimensional":[78],"feature":[79],"space":[80],"function,":[84],"which":[85],"combines":[86],"kernels":[88],"to":[89],"obtain":[90],"linearly":[91],"separable":[92],"samples.":[93],"accuracy,":[98],"incorporate":[100],"dictionary":[101],"learning":[102],"method":[103,142],"K-singular":[104],"value":[105],"decomposition":[106],"framework.":[114],"The":[115],"network":[121,160],"is":[122],"then":[123],"formulated":[124],"an":[126],"optimization":[127],"problem.":[128],"Our":[129],"extensive":[130],"experimental":[131],"results":[132],"demonstrate":[133],"that":[134],"learned":[144],"dictionaries":[145],"outperforms":[146],"other":[147],"existing":[148],"literature":[152],"on":[153],"complex":[157],"datasets.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}