{"id":"https://openalex.org/W4285408284","doi":"https://doi.org/10.1109/jstsp.2022.3185190","title":"Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing","display_name":"Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4285408284","doi":"https://doi.org/10.1109/jstsp.2022.3185190"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2022.3185190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3185190","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9829898/09829820.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/4200690/9829898/09829820.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004504634","display_name":"Xin Yuan","orcid":"https://orcid.org/0009-0002-7714-1330"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037270103","display_name":"David J. Brady","orcid":"https://orcid.org/0000-0001-5655-2478"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Brady","raw_affiliation_strings":["College of Optical Sciences, University of Arizona, Tucson, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5655-2478","affiliations":[{"raw_affiliation_string":"College of Optical Sciences, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051445938","display_name":"Jinli Suo","orcid":"https://orcid.org/0000-0002-3426-1634"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinli Suo","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3426-1634","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081714132","display_name":"Henry Arg\u00fcello","orcid":"https://orcid.org/0000-0002-2202-253X"},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Henry Arguello","raw_affiliation_strings":["Department of System Engineering and Informatics, Universidad Industrial de Santander, Bucaramanga, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-2202-253X","affiliations":[{"raw_affiliation_string":"Department of System Engineering and Informatics, Universidad Industrial de Santander, Bucaramanga, Colombia","institution_ids":["https://openalex.org/I115684694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044634366","display_name":"Miguel R. D. Rodrigues","orcid":"https://orcid.org/0000-0002-8908-847X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel Rodrigues","raw_affiliation_strings":["Department Electronic and Electrical Engineering, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8908-847X","affiliations":[{"raw_affiliation_string":"Department Electronic and Electrical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"4","first_page":"603","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5174999833106995,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5174999833106995,"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":0.7741174697875977},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7387465238571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707472562789917},{"id":"https://openalex.org/keywords/special-section","display_name":"Special section","score":0.5715216398239136},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.520691990852356},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.518618106842041},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.449273943901062},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44009581208229065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37125861644744873},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36377227306365967},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.23020482063293457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1098349392414093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09077903628349304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741174697875977},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7387465238571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707472562789917},{"id":"https://openalex.org/C2993458768","wikidata":"https://www.wikidata.org/wiki/Q3477549","display_name":"Special section","level":2,"score":0.5715216398239136},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.520691990852356},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.518618106842041},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.449273943901062},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44009581208229065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37125861644744873},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36377227306365967},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.23020482063293457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1098349392414093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09077903628349304},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C61696701","wikidata":"https://www.wikidata.org/wiki/Q770766","display_name":"Engineering physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2022.3185190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3185190","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9829898/09829820.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10172100","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10172100/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing , 16 (4) pp. 603-607. (2022)","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/jstsp.2022.3185190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3185190","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9829898/09829820.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285408284.pdf","grobid_xml":"https://content.openalex.org/works/W4285408284.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W3208108237","https://openalex.org/W4220914518","https://openalex.org/W4224942989","https://openalex.org/W4225975902","https://openalex.org/W4226057414","https://openalex.org/W4226199076","https://openalex.org/W4226216909","https://openalex.org/W4226232786","https://openalex.org/W4226424744","https://openalex.org/W4285119312","https://openalex.org/W4285121428","https://openalex.org/W4285151347","https://openalex.org/W4285174584","https://openalex.org/W4285205872","https://openalex.org/W4285213236","https://openalex.org/W4285258389","https://openalex.org/W4285265902","https://openalex.org/W4285300354","https://openalex.org/W4285306712","https://openalex.org/W4293072225"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093","https://openalex.org/W4200136508"],"abstract_inverted_index":{"The":[0,57],"papers":[1],"in":[2,15,45,106,112,136],"this":[3,111],"special":[4],"section":[5],"focus":[6],"on":[7],"deep":[8,137],"learning":[9,138],"for":[10,31,70,73],"high-dimensional":[11,17,38,90,130],"sensing.":[12],"People":[13],"live":[14],"a":[16,42,107],"world":[18],"and":[19,27,35,55,68,91,100,105,122],"sensing":[20,39,121],"is":[21,115],"the":[22,29,116],"first":[23],"step":[24],"to":[25,97,118,128],"perceive":[26],"understand":[28],"environment":[30],"both":[32],"human":[33],"beings":[34],"machines.":[36],"Therefore,":[37],"(HDS)":[40],"plays":[41],"pivotal":[43],"role":[44],"many":[46,77],"fields":[47],"such":[48,81],"as":[49,82],"robotics,":[50],"signal":[51],"processing,":[52],"computer":[53],"vision":[54],"surveillance.":[56],"recent":[58,134],"explosive":[59],"growth":[60],"of":[61,94],"artificial":[62],"intelligence":[63],"has":[64],"provided":[65],"new":[66,120],"opportunities":[67],"tools":[69],"HDS,":[71],"especially":[72],"machine":[74],"vision.":[75],"In":[76],"emerging":[78],"real":[79],"applications":[80],"advanced":[83],"driver":[84],"assistance":[85],"systems/autonomous":[86],"driving":[87],"systems,":[88],"large-scale,":[89],"diverse":[92],"types":[93],"data":[95,131],"need":[96],"be":[98],"captured":[99],"processed":[101],"with":[102,125],"high":[103,126],"accuracy":[104],"real-time":[108],"manner.":[109],"Bearing":[110],"mind,":[113],"now":[114],"time":[117],"develop":[119],"processing":[123],"techniques":[124],"performance":[127],"capture":[129],"by":[132],"leveraging":[133],"advances":[135],"(DL).":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}