{"id":"https://openalex.org/W2937625308","doi":"https://doi.org/10.1109/icassp.2019.8682337","title":"An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder","display_name":"An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2937625308","doi":"https://doi.org/10.1109/icassp.2019.8682337","mag":"2937625308"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5075474564","display_name":"Tianlei Wang","orcid":"https://orcid.org/0000-0002-4498-4326"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlei Wang","raw_affiliation_strings":["Institute of Information and Control, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Control, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002975495","display_name":"Xiaoping Lai","orcid":"https://orcid.org/0000-0002-5878-5563"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Lai","raw_affiliation_strings":["Institute of Information and Control, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Control, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074063024","display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuwen Cao","raw_affiliation_strings":["Institute of Information and Control, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information and Control, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076922237","display_name":"Chi\u2010Man Vong","orcid":"https://orcid.org/0000-0001-7997-8279"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Vong","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","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":["School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, China","School of Electronic and Information Engineering, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"pp","issue":null,"first_page":"3817","last_page":"3821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9226194620132446},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8384971022605896},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7907212972640991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637478768825531},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5591534376144409},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5291621685028076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123804807662964},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4615609049797058},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4411984980106354},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.43695658445358276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4115650951862335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3685559630393982},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3541278541088104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3490886092185974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21051087975502014},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10568910837173462},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06834772229194641}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9226194620132446},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8384971022605896},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7907212972640991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637478768825531},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5591534376144409},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5291621685028076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123804807662964},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4615609049797058},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4411984980106354},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.43695658445358276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4115650951862335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3685559630393982},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3541278541088104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3490886092185974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21051087975502014},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10568910837173462},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06834772229194641},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W177847060","https://openalex.org/W1998769964","https://openalex.org/W2011197824","https://openalex.org/W2040647667","https://openalex.org/W2042970394","https://openalex.org/W2053171205","https://openalex.org/W2111072639","https://openalex.org/W2111854888","https://openalex.org/W2141695047","https://openalex.org/W2181347294","https://openalex.org/W2301541953","https://openalex.org/W2342654477","https://openalex.org/W2463468632","https://openalex.org/W2511220713","https://openalex.org/W2525713298","https://openalex.org/W2561964848","https://openalex.org/W2573822039","https://openalex.org/W2951754835","https://openalex.org/W6607232846","https://openalex.org/W6685777803","https://openalex.org/W6727521031","https://openalex.org/W6730661646","https://openalex.org/W6764461435"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W2810330923","https://openalex.org/W4289763776","https://openalex.org/W2567582497","https://openalex.org/W2592311268","https://openalex.org/W2897701482"],"abstract_inverted_index":{"Recently,":[0],"by":[1],"employing":[2],"the":[3,28,32,48,58,107,111,118,128,145],"stacked":[4,30],"extreme":[5],"learning":[6],"machine":[7],"(ELM)":[8],"based":[9,54,93],"autoencoders":[10],"(ELM-AE)":[11],"and":[12,19,34,61,153,160],"sparse":[13,91,109,112],"AEs":[14],"(SAE),":[15],"multilayer":[16],"ELM":[17,21],"(ML-ELM)":[18],"hierarchical":[20],"(H-ELM)":[22],"has":[23],"been":[24],"developed.":[25],"Compared":[26],"to":[27,65,70],"conventional":[29],"AEs,":[31],"ML-ELM":[33],"H-ELM":[35,85,159],"usually":[36],"achieve":[37],"better":[38],"generalization":[39],"performance":[40],"with":[41,87],"a":[42,88,149,154],"significantly":[43],"reduced":[44],"training":[45,72,156],"time.":[46],"However,":[47],"\u2113":[49],"<sub":[50],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[52],"-norm":[53],"SAE":[55,134],"may":[56],"suffer":[57],"overfitting":[59],"problem":[60],"it":[62],"is":[63],"unable":[64],"provide":[66,122],"analytical":[67,124],"solution":[68,125],"leading":[69],"long":[71],"time":[73],"for":[74],"big":[75],"data.":[76],"To":[77],"alleviate":[78],"these":[79],"deficiencies,":[80],"we":[81],"propose":[82],"an":[83,123],"enhanced":[84],"(EH-ELM)":[86],"novel":[89],"random":[90,108],"matrix":[92],"AE":[94],"(SMA)":[95],"in":[96,102,133],"this":[97],"paper.":[98],"The":[99],"contributions":[100],"are":[101],"two":[103],"aspects,":[104],"1)":[105],"utilizing":[106],"matrix,":[110],"features":[113],"can":[114,121,135],"be":[115,136],"obtained;":[116],"2)":[117],"proposed":[119,146],"SMA":[120],"so":[126],"that":[127,144],"high":[129],"computational":[130],"complexity":[131],"issue":[132],"addressed.":[137],"Experimental":[138],"results":[139],"on":[140],"benchmark":[141],"datasets":[142],"show":[143],"EH-ELM":[147],"achieves":[148],"higher":[150],"recognition":[151],"rate":[152],"faster":[155],"speed":[157],"than":[158],"ML-ELM.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
