{"id":"https://openalex.org/W2734874104","doi":"https://doi.org/10.1109/ijcnn.2017.7966212","title":"Random fourier feature kernel recursive least squares","display_name":"Random fourier feature kernel recursive least squares","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734874104","doi":"https://doi.org/10.1109/ijcnn.2017.7966212","mag":"2734874104"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5027468923","display_name":"Zhengda Qin","orcid":"https://orcid.org/0000-0002-7329-6936"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengda Qin","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019 an Jiaotong University, Xi\u2019 an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi' an Jiaotong University, Xi' an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027468923"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.6411,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89324602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2881","last_page":"2886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991999864578247,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991999864578247,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996999979019165,"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/kernel","display_name":"Kernel (algebra)","score":0.5877563953399658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5445107221603394},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5183804631233215},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.511769711971283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5008578300476074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4689096212387085},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4562867283821106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.453813761472702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4426073431968689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4062451124191284},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.2177179753780365},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07102018594741821}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5877563953399658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5445107221603394},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5183804631233215},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.511769711971283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5008578300476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4689096212387085},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4562867283821106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.453813761472702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4426073431968689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4062451124191284},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.2177179753780365},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07102018594741821},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1804536132","https://openalex.org/W1819447595","https://openalex.org/W1927762903","https://openalex.org/W1999542175","https://openalex.org/W2011197824","https://openalex.org/W2030504178","https://openalex.org/W2071820974","https://openalex.org/W2107791152","https://openalex.org/W2112545207","https://openalex.org/W2119821739","https://openalex.org/W2123395972","https://openalex.org/W2135186252","https://openalex.org/W2139320579","https://openalex.org/W2140095548","https://openalex.org/W2144902422","https://openalex.org/W2150621701","https://openalex.org/W2153290280","https://openalex.org/W2160840682","https://openalex.org/W2242306112","https://openalex.org/W2342654477","https://openalex.org/W2532798880","https://openalex.org/W3144619878","https://openalex.org/W4239510810","https://openalex.org/W6678945949","https://openalex.org/W6681302627"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W2134577297","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2138794354","https://openalex.org/W2256933480","https://openalex.org/W3192938236","https://openalex.org/W4292523377"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,28],"investigate":[4],"the":[5,19,30,72,84,88,108,117,128],"nonlinear,":[6],"finite":[7],"dimensional":[8],"and":[9,62],"data":[10,119],"independent":[11],"random":[12,85],"Fourier":[13,32,86],"feature":[14],"expansions":[15],"that":[16,71],"can":[17,74,115,126],"approximate":[18],"popular":[20],"Gaussian":[21],"kernel.":[22],"With":[23],"recursive":[24],"least":[25],"squares":[26],"algorithm,":[27,97],"develop":[29],"Random":[31],"Feature":[33],"Recursive":[34,64],"Least":[35,58,65],"Squares":[36,66],"algorithm":[37],"(RFF-RLS),":[38],"which":[39],"shows":[40],"significant":[41],"performance":[42,77],"improvements":[43],"in":[44,92],"simulations":[45],"when":[46],"compared":[47],"with":[48,78,101,124],"several":[49],"other":[50],"online":[51],"kernel":[52],"learning":[53],"algorithms":[54],"such":[55],"as":[56],"Kernel":[57],"Mean":[59],"Square":[60],"(KLMS)":[61],"Kerne":[63],"(KRLS).":[67],"Our":[68],"results":[69,91],"confirm":[70],"RFF-RLS":[73,123,129],"achieve":[75],"desirable":[76],"low":[79],"computational":[80],"cost.":[81],"As":[82],"for":[83],"features,":[87],"randomization":[89],"generally":[90],"redundancy.":[93],"We":[94],"use":[95],"an":[96],"namely,":[98],"Vector":[99],"Quantization":[100],"Information":[102],"Theoretic":[103],"Learning":[104],"(VQIT)":[105],"to":[106],"decrease":[107],"dictionary":[109,114],"size.":[110],"The":[111,122],"resulting":[112],"sparse":[113],"match":[116],"original":[118],"distribution":[120],"well.":[121],"VQIT":[125],"outperform":[127],"without":[130],"VQIT.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
