{"id":"https://openalex.org/W2189302855","doi":"https://doi.org/10.1109/mmsp.2015.7340862","title":"k-Nearest Neighbors algorithm based on weak bit implementation on Enhanced Vote Count circuit","display_name":"k-Nearest Neighbors algorithm based on weak bit implementation on Enhanced Vote Count circuit","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189302855","doi":"https://doi.org/10.1109/mmsp.2015.7340862","mag":"2189302855"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2015.7340862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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/A5076698743","display_name":"Haiyan Shu","orcid":"https://orcid.org/0000-0003-1634-4863"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haiyan Shu","raw_affiliation_strings":["A*STAR, Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053921339","display_name":"Wenyu Jiang","orcid":"https://orcid.org/0000-0001-6368-5965"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wenyu Jiang","raw_affiliation_strings":["A*STAR, Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068270780","display_name":"Rongshan Yu","orcid":"https://orcid.org/0000-0003-2179-173X"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rongshan Yu","raw_affiliation_strings":["A*STAR, Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59567172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9957000017166138,"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/T11106","display_name":"Data Management and Algorithms","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7327399253845215},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.7048079371452332},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6372975707054138},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6269277334213257},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5920595526695251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5910971164703369},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5334364175796509},{"id":"https://openalex.org/keywords/bit","display_name":"Bit (key)","score":0.42004796862602234},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.41495072841644287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3650206923484802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33084964752197266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2857760787010193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1723930835723877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10268086194992065},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09544125199317932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327399253845215},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.7048079371452332},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6372975707054138},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6269277334213257},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5920595526695251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5910971164703369},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5334364175796509},{"id":"https://openalex.org/C117011727","wikidata":"https://www.wikidata.org/wiki/Q1278488","display_name":"Bit (key)","level":2,"score":0.42004796862602234},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.41495072841644287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3650206923484802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33084964752197266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2857760787010193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1723930835723877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10268086194992065},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09544125199317932},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2015.7340862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W17346433","https://openalex.org/W83334756","https://openalex.org/W1566135517","https://openalex.org/W1981190555","https://openalex.org/W1992636696","https://openalex.org/W1994410331","https://openalex.org/W2017337815","https://openalex.org/W2064605587","https://openalex.org/W2103074343","https://openalex.org/W2122111042","https://openalex.org/W2130502756","https://openalex.org/W2147717514","https://openalex.org/W2155904486","https://openalex.org/W2162006472","https://openalex.org/W2167442631","https://openalex.org/W2170037597","https://openalex.org/W6600697508","https://openalex.org/W6603388714","https://openalex.org/W6666830389","https://openalex.org/W6679446029","https://openalex.org/W6685012337","https://openalex.org/W7074671674"],"related_works":["https://openalex.org/W2411923897","https://openalex.org/W4285347720","https://openalex.org/W4200259850","https://openalex.org/W2333831899","https://openalex.org/W2484894494","https://openalex.org/W2367385042","https://openalex.org/W4381186982","https://openalex.org/W2040781570","https://openalex.org/W4226055750","https://openalex.org/W2382103771"],"abstract_inverted_index":{"k-Nearest":[0],"Neighbors":[1],"(kNN)":[2],"algorithm":[3],"is":[4,69,96,110,118,129],"a":[5,13,16,78],"method":[6],"to":[7,15,53,71,76,99],"find":[8],"the":[9,55,66,73,85,105,136],"closest":[10],"points":[11],"in":[12,36],"dataset":[14],"query":[17,60],"point.":[18],"The":[19,120],"result":[20],"of":[21,31,59,65,87,102,107,122,138],"kNN":[22,74],"can":[23,140],"be":[24,141],"used":[25,35],"for":[26],"classification":[27],"and":[28,39,61,112],"regression,":[29],"both":[30],"which":[32,50],"are":[33],"commonly":[34],"data":[37],"mining":[38],"machine":[40],"learning.":[41],"In":[42],"this":[43],"paper,":[44],"Enhanced":[45],"Vote":[46],"Count":[47],"(EVC)":[48],"circuit,":[49,104],"uses":[51],"hardware":[52],"compare":[54],"quantized":[56],"projected":[57],"values":[58],"training/reference":[62],"vectors":[63,67],"instead":[64],"themselves,":[68],"considered":[70,111],"approximate":[72],"search":[75,81],"provide":[77],"low":[79],"complexity":[80],"solution.":[82],"To":[83],"improve":[84],"performance":[86,137],"EVC":[88,103,127,139],"with":[89,144],"limited":[90,149],"projection":[91,94,150],"number":[92,95],"because":[93],"directly":[97],"related":[98],"implementation":[100,121,147],"cost":[101],"concept":[106],"weak":[108,123,145],"bit":[109,124,146],"only":[113],"reliable":[114],"binary":[115],"pattern":[116],"matching":[117],"evaluated.":[119],"based":[125],"on":[126],"circuit":[128],"also":[130],"described.":[131],"Simulation":[132],"results":[133],"show":[134],"that,":[135],"significantly":[142],"improved":[143],"under":[148],"number.":[151]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}