{"id":"https://openalex.org/W2806243271","doi":"https://doi.org/10.1109/access.2018.2845298","title":"A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition","display_name":"A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2806243271","doi":"https://doi.org/10.1109/access.2018.2845298","mag":"2806243271"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2845298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2845298","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2845298","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053193108","display_name":"Yuanlong Yu","orcid":"https://orcid.org/0000-0002-2112-6214"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlong Yu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2112-6214","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052969553","display_name":"Zhenzhen Sun","orcid":"https://orcid.org/0000-0002-5484-0393"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Sun","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413098","display_name":"Wenxing Zhu","orcid":"https://orcid.org/0000-0002-8698-0024"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxing Zhu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8698-0024","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010340252","display_name":"Jason Gu","orcid":"https://orcid.org/0000-0002-7626-1077"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jason Gu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7626-1077","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3104,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85141015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"30424","last_page":"30436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940999746322632,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.6476567983627319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6100120544433594},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5899950265884399},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5851960778236389},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5354848504066467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5212100744247437},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46582576632499695},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4605807960033417},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.41614794731140137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39927947521209717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16411873698234558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08509337902069092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476567983627319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6100120544433594},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5899950265884399},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5851960778236389},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5354848504066467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5212100744247437},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46582576632499695},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4605807960033417},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.41614794731140137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39927947521209717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16411873698234558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08509337902069092}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2845298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2845298","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e56079ef4225421fa4468a37853f9473","is_oa":true,"landing_page_url":"https://doaj.org/article/e56079ef4225421fa4468a37853f9473","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 30424-30436 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2845298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2845298","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1301169977","display_name":"\u57fa\u4e8e\u89c6\u89c9\u6ce8\u610f\u529b\u673a\u5236\u7684\u673a\u5668\u4eba\u611f\u5174\u8da3\u76ee\u6807\u8ddf\u8e2a","funder_award_id":"61473089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W39428922","https://openalex.org/W1517012920","https://openalex.org/W1566135517","https://openalex.org/W1625255723","https://openalex.org/W1781037602","https://openalex.org/W1922658220","https://openalex.org/W1964888939","https://openalex.org/W1965766334","https://openalex.org/W1979931042","https://openalex.org/W1991772852","https://openalex.org/W2017814585","https://openalex.org/W2026131661","https://openalex.org/W2027922120","https://openalex.org/W2052575990","https://openalex.org/W2062091367","https://openalex.org/W2063756240","https://openalex.org/W2077689834","https://openalex.org/W2086293932","https://openalex.org/W2088112754","https://openalex.org/W2089903940","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2103215849","https://openalex.org/W2104713750","https://openalex.org/W2107034620","https://openalex.org/W2112020727","https://openalex.org/W2113606819","https://openalex.org/W2121386037","https://openalex.org/W2122710056","https://openalex.org/W2124404372","https://openalex.org/W2126086821","https://openalex.org/W2126607811","https://openalex.org/W2127807804","https://openalex.org/W2131846894","https://openalex.org/W2135994945","https://openalex.org/W2141695047","https://openalex.org/W2142796031","https://openalex.org/W2142946215","https://openalex.org/W2144502914","https://openalex.org/W2147237076","https://openalex.org/W2151103935","https://openalex.org/W2151693816","https://openalex.org/W2154332973","https://openalex.org/W2155490028","https://openalex.org/W2157966922","https://openalex.org/W2160692033","https://openalex.org/W2161227280","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2164996087","https://openalex.org/W2166761907","https://openalex.org/W2172188317","https://openalex.org/W2291694011","https://openalex.org/W2293047233","https://openalex.org/W2301541953","https://openalex.org/W2317354861","https://openalex.org/W2517537544","https://openalex.org/W2525713298","https://openalex.org/W2617818785","https://openalex.org/W2757177965","https://openalex.org/W2760928342","https://openalex.org/W2789593553","https://openalex.org/W2963292690","https://openalex.org/W4232730838","https://openalex.org/W4251576161","https://openalex.org/W6601593943","https://openalex.org/W6636494156","https://openalex.org/W6665757705","https://openalex.org/W6674642818","https://openalex.org/W6676903177","https://openalex.org/W6678459014","https://openalex.org/W6683866685","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2579633471"],"abstract_inverted_index":{"Vision-based":[0],"scene":[1,11,99,185,210],"recognition":[2,100,211,222],"aims":[3],"to":[4,15,44,77,87,138,153],"find":[5],"a":[6,10,17,62,79,82,98,132],"semantic":[7],"explanation":[8],"of":[9,25,68,122,142,161,168,203,221],"image.":[12],"First,":[13],"how":[14,76],"learn":[16,45,78],"sparse":[18,46,120,159,197],"feature":[19,143,198],"representation":[20],"by":[21,125,145],"mapping":[22],"each":[23],"cluster":[24],"patches":[26,124],"into":[27],"few":[28],"dimensions":[29],"is":[30,91,109,136,174],"one":[31],"challenging":[32],"issue.":[33,93],"Sparse":[34],"coding":[35],"techniques":[36],"with":[37],"l1":[38,49],"norm":[39,50,129],"regularization":[40,51,149],"are":[41],"widely":[42],"used":[43,137],"features.":[47],"However,":[48],"may":[52],"not":[53],"achieve":[54],"enough":[55],"sparsity.":[56],"Furthermore,":[57,131],"the":[58,66,71,89,110,119,140,148,158,165,169,175,191,208,214],"initial":[59],"value":[60],"has":[61],"great":[63],"influence":[64],"on":[65],"sparsity":[67,141,204],"codes":[69,144],"during":[70],"iterative":[72,112],"optimization":[73],"process.":[74],"Second,":[75],"classifier":[80],"in":[81,85,183,201,219],"supervised":[83],"manner":[84],"order":[86],"improve":[88,139],"generalization":[90],"another":[92],"This":[94],"paper":[95],"therefore":[96],"proposes":[97],"method":[101,212],"and":[102,156,205],"it":[103],"mainly":[104],"includes":[105],"two":[106],"processes.":[107],"One":[108],"homotopy":[111,133],"hard":[113],"thresholding":[114],"(HIHT)":[115],"algorithm":[116,193],"that":[117,190],"encodes":[118],"representations":[121],"local":[123],"incorporating":[126],"an":[127],"l0":[128],"regularization.":[130],"continuity":[134],"strategy":[135],"adaptively":[146],"tuning":[147],"factor":[150],"from":[151],"large":[152],"small":[154],"values":[155],"using":[157],"solution":[160],"last":[162],"iteration":[163],"as":[164],"warm":[166],"start":[167],"next":[170],"iteration.":[171],"The":[172],"other":[173,195,215],"extreme":[176],"learning":[177,199],"machine":[178],"(ELM)-based":[179],"classifier.":[180],"Experimental":[181],"results":[182],"15-class":[184],"data":[186],"set":[187],"have":[188],"shown":[189],"HIHT":[192],"outperforms":[194,213],"unsupervised":[196],"algorithms":[200],"terms":[202,220],"entropy.":[206],"Meanwhile,":[207],"ELM-based":[209],"state-of-the":[216],"art":[217],"methods":[218],"accuracy.":[223]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}