{"id":"https://openalex.org/W2119108028","doi":"https://doi.org/10.1109/ijcnn.2007.4371016","title":"Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network","display_name":"Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2119108028","doi":"https://doi.org/10.1109/ijcnn.2007.4371016","mag":"2119108028"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371016","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5111914222","display_name":"Raymond C. K. Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Raymond C. K. Ho","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Nanyang Technol Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technol Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083892463","display_name":"Alex Leng Phuan Tay","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alex L. P. Tay","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Nanyang Technol Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technol Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707916","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-6591-0916"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["Emerging Research Lab, School of Computer Engineering, Nanyang Technological University, Singapore","Nanyang Technol Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"Emerging Research Lab, School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technol Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111914222"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.1417,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78018996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"552","last_page":"557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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/T10057","display_name":"Face and Expression Recognition","score":0.9757999777793884,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9610999822616577,"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":0.8086528182029724},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.7542329430580139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6729249358177185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6613931655883789},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6424609422683716},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.6113339066505432},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5094519257545471},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47674500942230225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4693796634674072},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13925489783287048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086528182029724},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7542329430580139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6729249358177185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6613931655883789},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6424609422683716},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.6113339066505432},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5094519257545471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47674500942230225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4693796634674072},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13925489783287048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371016","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W36457598","https://openalex.org/W140298869","https://openalex.org/W1575350781","https://openalex.org/W1784442349","https://openalex.org/W1963882433","https://openalex.org/W2018714943","https://openalex.org/W2074318144","https://openalex.org/W2117655734","https://openalex.org/W2165597078","https://openalex.org/W2543108922","https://openalex.org/W2982720039","https://openalex.org/W3112020351","https://openalex.org/W4285719527","https://openalex.org/W6601467472","https://openalex.org/W6605653143","https://openalex.org/W6677457356","https://openalex.org/W6769814042"],"related_works":["https://openalex.org/W2590565095","https://openalex.org/W2160366419","https://openalex.org/W4220926404","https://openalex.org/W3123344745","https://openalex.org/W2149471286","https://openalex.org/W2055870375","https://openalex.org/W2027409595","https://openalex.org/W2011664814","https://openalex.org/W2096837800","https://openalex.org/W2910555889"],"abstract_inverted_index":{"This":[0,116],"paper":[1,63,138],"illustrates":[2],"how":[3,65,140],"progressive":[4,74,122,152,178],"network":[5,19],"learning":[6,16,39,77,123,153,179],"can":[7,147],"be":[8,148],"performed":[9],"using":[10,182],"concepts":[11],"from":[12,167],"the":[13,62,110,145,162,168,173,177,193],"K-iterations":[14],"fast":[15],"artificial":[17],"neural":[18,34],"(KFLANN).":[20],"It":[21,159],"is":[22,46,78,98,134],"common":[23],"in":[24,68,80,181],"certain":[25],"application":[26],"domains":[27,81],"to":[28,155],"require":[29,41],"knowledge":[30],"updating":[31],"of":[32,59,93,113,124,144,175],"existing":[33,38],"networks":[35],"and":[36,61,70],"many":[37],"paradigms":[40],"extensive":[42],"re-training.":[43],"The":[44,95,137],"KFLANN":[45],"an":[47,119],"efficient":[48,69],"clustering":[49,72],"algorithm":[50,154,190],"that":[51,82,86,127],"provides":[52,118],"consistent":[53,71],"clusters":[54],"within":[55],"a":[56,142,151,187],"short":[57],"number":[58],"epochs":[60],"explains":[64],"its":[66],"capabilities":[67],"aid":[73],"learning.":[75],"Progressive":[76],"useful":[79],"handle":[83],"data":[84,103,126],"samples":[85],"arrive":[87],"at":[88],"periodic":[89],"stages":[90,92,112],"over":[91],"time.":[94],"bioinformatics":[96],"industry":[97],"one":[99],"such":[100],"domain":[101],"where":[102],"often":[104],"arrives":[105],"as":[106,130,150,192],"segmented":[107,157],"blocks":[108],"during":[109],"various":[111],"bio-molecular":[114],"experimentation.":[115],"work":[117],"option":[120],"for":[121],"partial":[125],"subsequently":[128],"updates":[129],"more":[131],"complete":[132],"information":[133],"made":[135],"available.":[136],"discusses":[139],"FLANN,":[141,183],"subset":[143],"KFLANN,":[146],"configured":[149],"merge":[156],"data.":[158],"further":[160],"compares":[161],"results":[163],"with":[164],"those":[165],"obtained":[166],"typical":[169],"non-segmented":[170],"processing.":[171],"In":[172],"process":[174],"introducing":[176],"paradigm":[180],"we":[184],"also":[185],"present":[186],"feasible":[188],"parallelization":[189],"known":[191],"parallel-KFLANN":[194],"(P-KFLANN).":[195]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}