{"id":"https://openalex.org/W4407950096","doi":"https://doi.org/10.1109/cdc56724.2024.10886447","title":"A Recursive Implementation of Sparse Regression","display_name":"A Recursive Implementation of Sparse Regression","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407950096","doi":"https://doi.org/10.1109/cdc56724.2024.10886447"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/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":true,"raw_author_name":"Simone Baldi","raw_affiliation_strings":["Southeast University,School of Mathematics,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Mathematics,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088681823","display_name":"Di Liu","orcid":"https://orcid.org/0000-0003-0539-9279"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Di Liu","raw_affiliation_strings":["Imperial College,Department of Electrical and Electronic Engineering,London,U.K.,SW7 2BT"],"affiliations":[{"raw_affiliation_string":"Imperial College,Department of Electrical and Electronic Engineering,London,U.K.,SW7 2BT","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055979973"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28487494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3551","last_page":"3556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.415800005197525,"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/T10057","display_name":"Face and Expression Recognition","score":0.415800005197525,"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":0.6862714886665344},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49554288387298584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33961158990859985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24368691444396973},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17975613474845886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862714886665344},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49554288387298584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33961158990859985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24368691444396973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17975613474845886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1532668851","https://openalex.org/W1998575688","https://openalex.org/W2042107404","https://openalex.org/W2048837324","https://openalex.org/W2086901931","https://openalex.org/W2094570382","https://openalex.org/W2098674248","https://openalex.org/W2099464104","https://openalex.org/W2100607681","https://openalex.org/W2107861471","https://openalex.org/W2115671189","https://openalex.org/W2116148865","https://openalex.org/W2127271355","https://openalex.org/W2140514146","https://openalex.org/W2141583550","https://openalex.org/W2159233329","https://openalex.org/W2166106181","https://openalex.org/W2344937232","https://openalex.org/W2572334937","https://openalex.org/W2620850570","https://openalex.org/W2789027062","https://openalex.org/W2789562737","https://openalex.org/W2801570650","https://openalex.org/W2805720260","https://openalex.org/W3009365087","https://openalex.org/W3033420759","https://openalex.org/W3041621985","https://openalex.org/W3044055626","https://openalex.org/W3115148317","https://openalex.org/W3177626520","https://openalex.org/W4307154503","https://openalex.org/W4313890666","https://openalex.org/W4390188696"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sparse":[0],"regression":[1],"deals":[2],"with":[3,26,57],"the":[4,27,58,63,80,87,90,99,102],"problem":[5],"of":[6,23,89],"representing":[7],"a":[8,12,20,35,48,52,95],"dataset":[9,28],"using":[10],"only":[11],"few":[13],"non-zero":[14,91],"basis":[15],"elements.":[16,104],"This":[17],"work":[18],"presents":[19],"recursive":[21,43,119],"implementation":[22],"sparse":[24,40,109],"regression,":[25],"being":[29],"processed":[30],"sequentially":[31],"rather":[32],"than":[33],"as":[34],"batch.":[36],"The":[37],"algorithm,":[38],"named":[39],"regularized":[41],"fused":[42,72],"least":[44,73],"squares":[45],"(SP-RF-RLS),":[46],"uses":[47],"re-weighting":[49],"technique":[50],"and":[51,62,76,110],"smooth":[53],"approximation":[54],"to":[55,83],"deal":[56],"discontinuous":[59],"$\\ell_{0}$":[60],"norm":[61],"non-differentiable":[64],"$\\ell_{1}$-norm,":[65],"standard":[66],"norms":[67],"for":[68],"sparsity.":[69],"Inspired":[70],"by":[71,93],"absolute":[74],"shrinkage":[75],"selection":[77],"operator":[78],"(fused-LASSO),":[79],"algorithm":[81],"aims":[82],"capture":[84],"structures":[85],"in":[86,107],"locations":[88],"elements":[92],"including":[94],"term":[96],"depending":[97],"on":[98],"difference":[100],"between":[101],"estimated":[103],"Comparative":[105],"experiments":[106],"both":[108],"non-sparse":[111],"scenarios":[112],"show":[113],"that":[114],"SP-RF-RLS":[115],"outperforms":[116],"several":[117],"state-of-the-art":[118],"algorithms.":[120]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
