{"id":"https://openalex.org/W2045256175","doi":"https://doi.org/10.1080/088395197118334","title":"Image coding by a neural net classification process","display_name":"Image coding by a neural net classification process","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2045256175","doi":"https://doi.org/10.1080/088395197118334","mag":"2045256175"},"language":"en","primary_location":{"id":"doi:10.1080/088395197118334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118334?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118334?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110692776","display_name":"Willie Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Willie Chang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111740722","display_name":"Hamdy Soliman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hamdy S. Soliman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110692776"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.4715,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68363095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"1","first_page":"33","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9968000054359436,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962000250816345,"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/codebook","display_name":"Codebook","score":0.8823186755180359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8578286170959473},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.8154394030570984},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7270610332489014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6743577718734741},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5991090536117554},{"id":"https://openalex.org/keywords/neural-gas","display_name":"Neural gas","score":0.5490418672561646},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5348448157310486},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5328294038772583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49755027890205383},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.4557057321071625},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.44009676575660706},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4271096885204315},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2681776285171509},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22642561793327332},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.2194126546382904}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8823186755180359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578286170959473},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.8154394030570984},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7270610332489014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6743577718734741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5991090536117554},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.5490418672561646},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5348448157310486},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5328294038772583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49755027890205383},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.4557057321071625},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.44009676575660706},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4271096885204315},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2681776285171509},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22642561793327332},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2194126546382904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/088395197118334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118334?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/088395197118334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118334?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2045256175.pdf","grobid_xml":"https://content.openalex.org/works/W2045256175.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1504259758","https://openalex.org/W1561761812","https://openalex.org/W1594805276","https://openalex.org/W1605613972","https://openalex.org/W1652620572","https://openalex.org/W1940433659","https://openalex.org/W1971731396","https://openalex.org/W1991848143","https://openalex.org/W2023664297","https://openalex.org/W2040336387","https://openalex.org/W2040903332","https://openalex.org/W2045908891","https://openalex.org/W2051220667","https://openalex.org/W2062024414","https://openalex.org/W2091851723","https://openalex.org/W2098929365","https://openalex.org/W2113045410","https://openalex.org/W2122925692","https://openalex.org/W2132603077","https://openalex.org/W2134383396","https://openalex.org/W2135733258","https://openalex.org/W2139940368","https://openalex.org/W2152037928","https://openalex.org/W2168487341","https://openalex.org/W2171124048","https://openalex.org/W2432567885","https://openalex.org/W2913399920"],"related_works":["https://openalex.org/W2071781501","https://openalex.org/W2378212145","https://openalex.org/W2576436359","https://openalex.org/W4243803532","https://openalex.org/W4244998381","https://openalex.org/W2142248489","https://openalex.org/W1990646304","https://openalex.org/W2100492357","https://openalex.org/W1805748654","https://openalex.org/W3148658660"],"abstract_inverted_index":{"A":[0],"self-organizing":[1],"neural":[2,20,44,84,116,153],"network":[3],"performing":[4],"learning":[5,146],"vector":[6],"quantization":[7],"(LVQ)":[8],"to":[9,56,155],"compress":[10,57],"image":[11,66],"data":[12],"is":[13,78,105],"proposed.By":[14],"using":[15],"unsupervised":[16],"learning,":[17],"our":[18,75,103,115,134],"LVQ":[19],"model":[21,104,118],"approximates":[22],"optimal":[23],"pattern":[24],"clustering":[25,129],"from":[26],"training":[27,122,143],"images":[28],"through":[29,141],"a":[30,36,54,63,151],"memory":[31],"adaptation":[32],"process,":[33],"and":[34,58,92,96,110,131,145,160],"builds":[35],"compression":[37,159],"codebook":[38,154],"in":[39,62,74],"the":[40],"synaptic":[41],"weight":[42],"matrix.The":[43],"codebook,":[45],"trained":[46],"by":[47],"example":[48],"pictures,":[49],"can":[50],"be":[51],"used":[52],"as":[53,69],"codec":[55,117],"decompress":[59],"other":[60,81],"pictures":[61],"speedy":[64],"fashion.Special":[65],"types,":[67],"such":[68],"fingerprints,":[70],"verify":[71],"this":[72],"property":[73],"experiments.Our":[76],"approach":[77],"compared":[79,107],"with":[80,108],"recently":[82],"developed":[83],"VQ":[85],"models":[86],"(neural":[87],"gas,":[88],"growing":[89],"cell":[90],"structures,":[91],"conscious":[93],"competitive":[94],"learning)":[95],"methodological":[97],"premises":[98],"are":[99,119],"discussed.The":[100],"performance":[101],"of":[102,114,126],"also":[106],"JPEG":[109],"wavelet":[111],"methods.Other":[112],"advantages":[113],"its":[120],"low":[121],"time,":[123],"high":[124,158,161],"utilization":[125],"neurons,":[127],"robust":[128],"capability,":[130],"simple":[132],"computation.Further,":[133],"mode":[135],"l":[136],"has":[137],"some":[138],"filtering":[139],"effects":[140],"special":[142],"methods":[144],"enhancement":[147],"techniques":[148],"for":[149],"obtaining":[150],"compact":[152],"yield":[156],"both":[157],"picture":[162],"quality.":[163]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}