{"id":"https://openalex.org/W4312887627","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892981","title":"Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning","display_name":"Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312887627","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892981"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5071018302","display_name":"Dilantha Haputhanthri","orcid":"https://orcid.org/0000-0003-4319-9876"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dilantha Haputhanthri","raw_affiliation_strings":["Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090043052","display_name":"Evgeny Osipov","orcid":"https://orcid.org/0000-0003-0069-640X"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Evgeny Osipov","raw_affiliation_strings":["University of Technology,Department of Computer Science, Electrical and Space Engineering at Lule&#x00E5;,Lule&#x00E5;,Sweden,97187"],"affiliations":[{"raw_affiliation_string":"University of Technology,Department of Computer Science, Electrical and Space Engineering at Lule&#x00E5;,Lule&#x00E5;,Sweden,97187","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071730776","display_name":"Sachin Kahawala","orcid":"https://orcid.org/0000-0003-0320-1337"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sachin Kahawala","raw_affiliation_strings":["Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064845769","display_name":"Daswin De Silva","orcid":"https://orcid.org/0000-0003-3878-5969"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daswin De Silva","raw_affiliation_strings":["Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023346210","display_name":"Thimal Kempitiya","orcid":"https://orcid.org/0000-0001-6294-0004"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thimal Kempitiya","raw_affiliation_strings":["Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008490552","display_name":"Damminda Alahakoon","orcid":"https://orcid.org/0000-0003-3291-888X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Damminda Alahakoon","raw_affiliation_strings":["Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Centre for Data Analytics and Cognition at La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071018302"],"corresponding_institution_ids":["https://openalex.org/I196829312"],"apc_list":null,"apc_paid":null,"fwci":0.6445,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62783691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"abs 2110 8343","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9825999736785889,"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":0.7029892206192017},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6086860299110413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.578585147857666},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5230501890182495},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.48006686568260193},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46325311064720154},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.43848252296447754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4353524148464203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4065941274166107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36581194400787354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16314366459846497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029892206192017},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6086860299110413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578585147857666},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5230501890182495},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.48006686568260193},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46325311064720154},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.43848252296447754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4353524148464203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4065941274166107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36581194400787354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16314366459846497},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1488378957","https://openalex.org/W2070862086","https://openalex.org/W2106963348","https://openalex.org/W2188816045","https://openalex.org/W2759478409","https://openalex.org/W2783525259","https://openalex.org/W2895910969","https://openalex.org/W2912497767","https://openalex.org/W2963650979","https://openalex.org/W2969945374","https://openalex.org/W2973650171","https://openalex.org/W2996171280","https://openalex.org/W3114030160","https://openalex.org/W3175575864","https://openalex.org/W3196972418","https://openalex.org/W3207793743","https://openalex.org/W4302028625","https://openalex.org/W6759001543","https://openalex.org/W6783398783","https://openalex.org/W6788922462","https://openalex.org/W6801208823","https://openalex.org/W6803540780"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W4378421684","https://openalex.org/W4294203825","https://openalex.org/W1505616161"],"abstract_inverted_index":{"The":[0,48],"increasing":[1],"use":[2],"of":[3,26,68,78,91,99,126],"Vector":[4],"Symbolic":[5],"Architectures":[6],"(VSA)":[7],"in":[8],"machine":[9,54],"learning":[10,55,62],"has":[11],"contributed":[12],"towards":[13],"en-ergy":[14],"efficient":[15],"computation,":[16],"short":[17],"training":[18],"cycles":[19],"and":[20,94,124,135],"improved":[21],"performance.":[22],"A":[23],"further":[24],"advancement":[25],"VSA":[27,59],"is":[28,51,111],"to":[29,39],"leverage":[30],"sparse":[31,79],"representations,":[32],"where":[33],"the":[34,82,88,103,107,130],"VSA-encoded":[35],"hypervectors":[36],"are":[37,86],"sparsified":[38,108],"represent":[40],"receptive":[41],"field":[42],"properties":[43],"when":[44],"encoding":[45],"sensory":[46],"inputs.":[47],"hyperseed":[49,83,109],"algorithm":[50,56,110],"an":[52],"unsupervised":[53],"based":[57],"on":[58,81],"for":[60,114],"fast":[61],"a":[63,96],"topology":[64],"preserving":[65],"feature":[66],"map":[67],"unlabelled":[69],"data.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"implement":[75],"two":[76],"methods":[77],"block-codes":[80],"algorithm,":[84],"they":[85],"selecting":[87,95],"maximum":[89],"element":[90,98],"each":[92,100],"block":[93,101],"random":[97],"as":[102],"nonzero":[104],"element.":[105],"Finally,":[106],"empirically":[112],"evaluated":[113],"performance":[115],"using":[116,138],"three":[117],"distinct":[118],"bench-mark":[119],"datasets,":[120],"Iris":[121],"classification,":[122],"classification":[123,137],"visualisation":[125],"synthetic":[127],"datasets":[128],"from":[129],"Fundamental":[131],"Clustering":[132],"Problems":[133],"Suite":[134],"language":[136],"n-gram":[139],"statistics.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
