{"id":"https://openalex.org/W1864908204","doi":"https://doi.org/10.1109/ijcnn.2003.1223418","title":"A novel vector quantizer for pattern classification tasks","display_name":"A novel vector quantizer for pattern classification tasks","publication_year":2004,"publication_date":"2004-03-01","ids":{"openalex":"https://openalex.org/W1864908204","doi":"https://doi.org/10.1109/ijcnn.2003.1223418","mag":"1864908204"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062424480","display_name":"Vikas Prasad","orcid":"https://orcid.org/0000-0003-2010-4117"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V.S.N. Prasad","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","Department of Computer Science, Indian Institute of Technology, Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science, Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079329589","display_name":"B. Yegnanarayana","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Yegnanarayana","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","Department of Computer Science, Indian Institute of Technology, Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science, Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042109864","display_name":"Sunitha Guruprasad","orcid":"https://orcid.org/0000-0002-7155-8058"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Guruprasad","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","Department of Computer Science, Indian Institute of Technology, Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Indian Institute of Technology - Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science, Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10185113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"577","last_page":"581"},"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":0.9984999895095825,"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":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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/vector-quantization","display_name":"Vector quantization","score":0.7663660645484924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6152878999710083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129503846168518},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5692143440246582},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.5294045209884644},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.5221058130264282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49979209899902344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4979376792907715},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.48753663897514343},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4442824423313141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4372304379940033},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4258684813976288},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3576242923736572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3127739429473877},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10620158910751343}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7663660645484924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6152878999710083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129503846168518},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5692143440246582},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.5294045209884644},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.5221058130264282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49979209899902344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4979376792907715},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.48753663897514343},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4442824423313141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4372304379940033},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4258684813976288},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3576242923736572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3127739429473877},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10620158910751343},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":13,"referenced_works":["https://openalex.org/W1969568644","https://openalex.org/W1990863955","https://openalex.org/W1991848143","https://openalex.org/W2004988621","https://openalex.org/W2015751084","https://openalex.org/W2035890032","https://openalex.org/W2099111195","https://openalex.org/W2124776405","https://openalex.org/W2766039569","https://openalex.org/W2799061466","https://openalex.org/W3127518054","https://openalex.org/W3149263753","https://openalex.org/W4230946174"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W1530525041","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072","https://openalex.org/W2100492357"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,71],"novel":[3],"vector":[4],"quantization":[5],"method":[6],"for":[7],"pattern":[8],"classification":[9],"tasks.":[10],"The":[11,45,67,84],"input":[12],"space":[13],"is":[14,48],"quantized":[15],"into":[16],"volume":[17,29,56],"regions":[18,30,57],"by":[19,22],"code-vectors":[20],"formed":[21],"weights":[23],"of":[24,63,90],"neurons.":[25],"During":[26],"training,":[27],"the":[28,37,64,80,88,91],"are":[31],"merged":[32],"and":[33,53,82],"split,":[34],"depending":[35],"upon":[36],"ambiguity":[38],"in":[39],"classification,":[40],"measured":[41],"using":[42],"Kullback-Leibler":[43],"divergence.":[44],"heuristic":[46],"followed":[47],"to":[49],"split":[50],"ambiguous":[51],"regions,":[52],"merge":[54],"two":[55],"if":[58],"they":[59],"contain":[60],"predominant":[61],"populations":[62],"same":[65],"class.":[66],"neural":[68],"network":[69],"forms":[70],"generalized":[72],"Delaunay":[73],"graph,":[74],"whose":[75],"topology":[76],"changes":[77],"dynamically":[78],"with":[79],"merging":[81],"splitting.":[83],"simulation":[85],"results":[86],"indicate":[87],"utility":[89],"proposed":[92],"method.":[93]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
