{"id":"https://openalex.org/W2158978266","doi":"https://doi.org/10.1109/ijcnn.2010.5596876","title":"FBWN: An architecture of fast beta wavelet networks for image classification","display_name":"FBWN: An architecture of fast beta wavelet networks for image classification","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2158978266","doi":"https://doi.org/10.1109/ijcnn.2010.5596876","mag":"2158978266"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 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/A5041655108","display_name":"Olfa Jemai","orcid":"https://orcid.org/0009-0000-9037-4169"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Olfa Jemai","raw_affiliation_strings":["Higher Institute of Computer Science of Medenine, University of Gabes, Sfax, Tunisia","Research Group on Intelligent Machines, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Institute of Computer Science of Medenine, University of Gabes, Sfax, Tunisia","institution_ids":["https://openalex.org/I68916915"]},{"raw_affiliation_string":"Research Group on Intelligent Machines, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mourad Zaied","raw_affiliation_strings":["National Engineering School of Gabes, University of Gabes, Sfax, Tunisia","Research Group on Intelligent Machines, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Gabes, University of Gabes, Sfax, Tunisia","institution_ids":["https://openalex.org/I68916915"]},{"raw_affiliation_string":"Research Group on Intelligent Machines, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036168795","display_name":"Chokri Ben Amar","orcid":"https://orcid.org/0000-0002-0129-7577"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Chokri Ben Amar","raw_affiliation_strings":["National Engineering School of Sfax, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["Universite de Sfax, Sfax, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Sfax, Sfax, TN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2848,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.94603544,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9889000058174133,"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":0.7202904224395752},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6976931691169739},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5683135986328125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5595824718475342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5239757895469666},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4746447205543518},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4600515067577362},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.45837002992630005},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4568723738193512},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4313713312149048},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4168713092803955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38491666316986084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202904224395752},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6976931691169739},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5683135986328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595824718475342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5239757895469666},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4746447205543518},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4600515067577362},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.45837002992630005},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4568723738193512},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4313713312149048},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4168713092803955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38491666316986084}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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":41,"referenced_works":["https://openalex.org/W71540387","https://openalex.org/W156178479","https://openalex.org/W1526960713","https://openalex.org/W1561917463","https://openalex.org/W1570952358","https://openalex.org/W1583216534","https://openalex.org/W1594097892","https://openalex.org/W1847884744","https://openalex.org/W1953621676","https://openalex.org/W1979287988","https://openalex.org/W1995355625","https://openalex.org/W2015143081","https://openalex.org/W2026651112","https://openalex.org/W2029866446","https://openalex.org/W2047007118","https://openalex.org/W2048388799","https://openalex.org/W2067896445","https://openalex.org/W2085686600","https://openalex.org/W2088950131","https://openalex.org/W2106057311","https://openalex.org/W2109868644","https://openalex.org/W2115970562","https://openalex.org/W2129041434","https://openalex.org/W2137226063","https://openalex.org/W2143712802","https://openalex.org/W2157164240","https://openalex.org/W2158076175","https://openalex.org/W2171506994","https://openalex.org/W2293747114","https://openalex.org/W2465525950","https://openalex.org/W2471247903","https://openalex.org/W2543766501","https://openalex.org/W2885671404","https://openalex.org/W2911486921","https://openalex.org/W3215619158","https://openalex.org/W6602880937","https://openalex.org/W6634169170","https://openalex.org/W6638820819","https://openalex.org/W6640989640","https://openalex.org/W6681210552","https://openalex.org/W6758547804"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W4321517526","https://openalex.org/W2097034666","https://openalex.org/W1967182499","https://openalex.org/W2085792030","https://openalex.org/W2111896212","https://openalex.org/W2391053410","https://openalex.org/W1918078477","https://openalex.org/W2001281573"],"abstract_inverted_index":{"Image":[0],"classification":[1,19,180],"is":[2,36,57,115,122,141],"an":[3],"important":[4],"task":[5],"in":[6,67,172],"computer":[7],"vision.":[8],"In":[9,134],"this":[10,106],"paper,":[11],"we":[12,69],"propose":[13],"a":[14,22,46],"supervised":[15],"method":[16,140],"for":[17],"image":[18],"based":[20,50],"on":[21,51],"fast":[23],"beta":[24],"wavelet":[25,34,44,149],"networks":[26],"(FBWN)":[27],"model.":[28],"First,":[29],"the":[30,33,41,52,71,74,78,81,85,92,112,119,125,135,138,162,168,173],"structure":[31],"of":[32,43,73,80,128,157,175],"network":[35,150],"detailed.":[37],"Then,":[38],"to":[39,64,84,102,130,143],"enhance":[40],"performance":[42],"networks,":[45],"novel":[47],"learning":[48,113],"algorithm":[49,95,121],"Fast":[53],"Wavelet":[54],"Transform":[55],"(FWTLA)":[56],"proposed.":[58],"It":[59],"has":[60],"many":[61],"advantages":[62],"compared":[63],"other":[65],"algorithms,":[66],"which":[68,100],"solve":[70],"problem":[72],"previous":[75],"works,":[76],"when":[77,111],"weights":[79],"hidden":[82],"layer":[83,87],"output":[86],"are":[88,152],"determinate":[89],"by":[90,97,124],"applying":[91],"back":[93],"propagation":[94],"or":[96],"direct":[98],"solution":[99],"requires":[101],"compute":[103,131],"matrix":[104],"inversion,":[105],"may":[107],"be":[108],"intensive":[109],"computation":[110],"data":[114],"too":[116],"large.":[117],"However,":[118],"new":[120],"realized":[123],"iterative":[126],"application":[127],"FWT":[129],"connection":[132],"weights.":[133],"simulation":[136],"part,":[137],"proposed":[139],"employed":[142],"classify":[144],"images.":[145],"Comparisons":[146],"with":[147],"classical":[148],"classifier":[151],"presented":[153],"and":[154,179],"discussed.":[155],"Results":[156],"comparison":[158],"have":[159],"shown":[160],"that":[161],"FBWN":[163],"model":[164,171],"performs":[165],"better":[166],"than":[167],"previously":[169],"established":[170],"context":[174],"training":[176],"run":[177],"time":[178],"rate.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
