{"id":"https://openalex.org/W4390188696","doi":"https://doi.org/10.1109/icdl55364.2023.10364401","title":"A New Recursive Approach to Sparse Representation","display_name":"A New Recursive Approach to Sparse Representation","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4390188696","doi":"https://doi.org/10.1109/icdl55364.2023.10364401"},"language":"en","primary_location":{"id":"doi:10.1109/icdl55364.2023.10364401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icdl55364.2023.10364401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Development and Learning (ICDL)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072478964","display_name":"Quan Liu","orcid":"https://orcid.org/0000-0001-7730-5775"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Liu","raw_affiliation_strings":["School of Artificial Intelligence, Southeast University,China","School of Artificial Intelligence, Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Southeast University,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Artificial Intelligence, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088681823","display_name":"Di Liu","orcid":"https://orcid.org/0000-0003-0539-9279"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["CH","DE"],"is_corresponding":false,"raw_author_name":"Di Liu","raw_affiliation_strings":["School of Computation, Information and Technology, Technical University of Munich (TUM),Germany","School of Computation, Information and Technology, Technical University of Munich (TUM), Germany","Visual Intelligence for Transportation lab, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Technical University of Munich (TUM),Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"School of Computation, Information and Technology, Technical University of Munich (TUM), Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Visual Intelligence for Transportation lab, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055979973","display_name":"Simone Baldi","orcid":"https://orcid.org/0000-0001-9752-8925"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simone Baldi","raw_affiliation_strings":["School of Mathematics, Southeast University,China","School of Mathematics, Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Mathematics, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/sparse-approximation","display_name":"Sparse approximation","score":0.8188480138778687},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6758341789245605},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6390409469604492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797529220581055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5172077417373657},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4716103672981262},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.451084703207016},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.447689950466156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3705803453922272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3424319624900818},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.07753327488899231}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8188480138778687},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6758341789245605},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6390409469604492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797529220581055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5172077417373657},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4716103672981262},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.451084703207016},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.447689950466156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3705803453922272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3424319624900818},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.07753327488899231},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdl55364.2023.10364401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icdl55364.2023.10364401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Development and Learning (ICDL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G418674004","display_name":null,"funder_award_id":"62150610499,62073074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7689462468","display_name":null,"funder_award_id":"2022YFE0198700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1532668851","https://openalex.org/W1541751133","https://openalex.org/W1998575688","https://openalex.org/W2047565655","https://openalex.org/W2048837324","https://openalex.org/W2098674248","https://openalex.org/W2099464104","https://openalex.org/W2100607681","https://openalex.org/W2115671189","https://openalex.org/W2116148865","https://openalex.org/W2127271355","https://openalex.org/W2141583550","https://openalex.org/W2166106181","https://openalex.org/W2344937232","https://openalex.org/W2572334937","https://openalex.org/W2605715020","https://openalex.org/W2620850570","https://openalex.org/W2761746967","https://openalex.org/W2789027062","https://openalex.org/W2805720260","https://openalex.org/W2891205172","https://openalex.org/W3008739840","https://openalex.org/W3045532480","https://openalex.org/W3094881640","https://openalex.org/W3177626520","https://openalex.org/W3210904994","https://openalex.org/W4243330440","https://openalex.org/W4313890666"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2051410394","https://openalex.org/W2594370889","https://openalex.org/W2390720471","https://openalex.org/W1600789676","https://openalex.org/W2134327945"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,41,54],"new":[4],"approach":[5],"to":[6,44,57,64],"online":[7],"sparse":[8,11,29],"representation.":[9],"Online":[10],"representation":[12],"concerns":[13],"the":[14,46,80,86],"estimation":[15],"of":[16,51,60,77,79,85],"non-redundant":[17],"structures":[18],"using":[19],"data":[20],"that":[21,70],"are":[22],"sequentially":[23],"and":[24,83],"continuously":[25],"collected.":[26],"A":[27],"novel":[28],"regularized":[30],"recursive":[31],"least":[32],"squares":[33],"algorithm,":[34],"named":[35],"SP-R-RLS,":[36],"is":[37,68],"proposed.":[38],"SP-R-RLS":[39,71],"combines":[40],"reweighting":[42],"technique":[43],"approximate":[45],"L0":[47],"norm":[48],"(a":[49],"measure":[50],"sparsity)":[52],"with":[53],"smooth":[55],"approximation":[56],"address":[58],"lack":[59],"differentiability.":[61],"When":[62],"compared":[63],"state-of-the-art":[65],"algorithms,":[66],"it":[67],"shown":[69],"has":[72],"better":[73],"performance":[74],"in":[75],"terms":[76],"sparsity":[78],"estimated":[81],"system":[82],"accuracy":[84],"estimate.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
