{"id":"https://openalex.org/W2082074261","doi":"https://doi.org/10.1109/tnnls.2012.2200262","title":"Efficient Sparse Modeling With Automatic Feature Grouping","display_name":"Efficient Sparse Modeling With Automatic Feature Grouping","publication_year":2012,"publication_date":"2012-07-13","ids":{"openalex":"https://openalex.org/W2082074261","doi":"https://doi.org/10.1109/tnnls.2012.2200262","mag":"2082074261","pmid":"https://pubmed.ncbi.nlm.nih.gov/24807927"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2012.2200262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2200262","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5112446076","display_name":"Leon Wenliang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Leon Wenliang Zhong","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","[Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070273088","display_name":"James T. Kwok","orcid":"https://orcid.org/0000-0002-4828-8248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James T. Kwok","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","[Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China]","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":13.2731,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99235316,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"9","first_page":"1436","last_page":"1447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9909999966621399,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6977471113204956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.602933406829834},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.583278477191925},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5496224164962769},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5406733155250549},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5175406336784363},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5172372460365295},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5151073336601257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122408270835876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.477657675743103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3761163651943207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35277122259140015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3424944281578064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17775413393974304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977471113204956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.602933406829834},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.583278477191925},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5496224164962769},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5406733155250549},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5175406336784363},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5172372460365295},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5151073336601257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122408270835876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.477657675743103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3761163651943207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35277122259140015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3424944281578064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17775413393974304},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tnnls.2012.2200262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2200262","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:24807927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24807927","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.224.2577","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.2577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ust.hk/%7Ewzhong/files/Zhong2011.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.5249","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.5249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ust.hk/~jamesk/papers/tnnls12b.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-35331","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-35331","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-57216","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-57216","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1497745584","https://openalex.org/W1564354676","https://openalex.org/W1608932033","https://openalex.org/W1970554427","https://openalex.org/W1975505516","https://openalex.org/W1998635907","https://openalex.org/W2012653948","https://openalex.org/W2024765216","https://openalex.org/W2033250675","https://openalex.org/W2033351162","https://openalex.org/W2082074261","https://openalex.org/W2098421151","https://openalex.org/W2100556411","https://openalex.org/W2103195393","https://openalex.org/W2108687351","https://openalex.org/W2122825543","https://openalex.org/W2124541940","https://openalex.org/W2126447117","https://openalex.org/W2129812935","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2140514146","https://openalex.org/W2141823231","https://openalex.org/W2146482778","https://openalex.org/W2149270675","https://openalex.org/W2154881938","https://openalex.org/W2164301055","https://openalex.org/W2164814662","https://openalex.org/W2207280170","https://openalex.org/W2625093932","https://openalex.org/W2953028742","https://openalex.org/W3012264151","https://openalex.org/W4214493512","https://openalex.org/W4235713725","https://openalex.org/W4285719527","https://openalex.org/W6629935912","https://openalex.org/W6633899590","https://openalex.org/W6676634215","https://openalex.org/W6678752900","https://openalex.org/W6679884957","https://openalex.org/W6683945318"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2194570607"],"abstract_inverted_index":{"For":[0],"high-dimensional":[1],"data,":[2],"it":[3,34],"is":[4,51,79,149],"often":[5],"desirable":[6],"to":[7,30,69,133],"group":[8,112],"similar":[9],"features":[10],"together":[11],"during":[12],"the":[13,19,24,66,92,121,130,156],"learning":[14],"process.":[15],"This":[16],"can":[17,35,103],"reduce":[18],"estimation":[20],"variance":[21],"and":[22,40,45,61,143],"improve":[23],"stability":[25],"of":[26,141,159],"feature":[27,67,72,161],"selection,":[28],"leading":[29],"better":[31],"generalization.":[32],"Moreover,":[33],"also":[36],"help":[37],"in":[38],"understanding":[39],"interpreting":[41],"data.":[42],"Octagonal":[43],"shrinkage":[44],"clustering":[46],"algorithm":[47],"for":[48,129],"regression":[49],"(OSCAR)":[50],"a":[52,58,62,107,139,150],"recent":[53],"sparse-modeling":[54,152],"approach":[55],"that":[56,98,147],"uses":[57],"l1":[59],"-regularizer":[60],"pairwise":[63],"l\u221e-regularizer":[64],"on":[65,91,138],"coefficients":[68],"encourage":[70],"such":[71],"grouping.":[73,162],"However,":[74],"computationally,":[75],"its":[76,99],"optimization":[77],"procedure":[78],"very":[80],"expensive.":[81],"In":[82],"this":[83,119],"paper,":[84],"we":[85],"propose":[86],"an":[87],"efficient":[88,109],"solver":[89],"based":[90],"accelerated":[93],"gradient":[94],"method.":[95],"We":[96],"show":[97],"key":[100],"proximal":[101],"step":[102],"be":[104],"solved":[105],"by":[106],"highly":[108],"simple":[110],"iterative":[111],"merging":[113],"algorithm.":[114],"Given":[115],"d":[116],"input":[117],"features,":[118],"reduces":[120],"empirical":[122],"time":[123],"complexity":[124],"from":[125],"O(d(2)":[126],"~":[127],"d(5))":[128],"existing":[131],"solvers":[132],"just":[134],"O(d).":[135],"Experimental":[136],"results":[137],"number":[140],"toy":[142],"real-world":[144],"datasets":[145],"demonstrate":[146],"OSCAR":[148],"competitive":[151],"approach,":[153],"but":[154],"with":[155],"added":[157],"ability":[158],"automatic":[160]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}