{"id":"https://openalex.org/W1511961864","doi":"https://doi.org/10.1109/dcc.1996.488336","title":"Predictive vector quantization with ridge regression","display_name":"Predictive vector quantization with ridge regression","publication_year":2002,"publication_date":"2002-12-23","ids":{"openalex":"https://openalex.org/W1511961864","doi":"https://doi.org/10.1109/dcc.1996.488336","mag":"1511961864"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.1996.488336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Data Compression Conference - DCC '96","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/A5003110029","display_name":"C.L. Nash","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C.L. Nash","raw_affiliation_strings":["Department of Elect. Engineering, University of Stanford, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Elect. Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820196","display_name":"Richard A. Olshen","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.A. Olshen","raw_affiliation_strings":["Department of Health Research and Pol., University of Stanford, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Health Research and Pol., University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061042317","display_name":"Robert M. Gray","orcid":"https://orcid.org/0000-0002-6947-3637"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Gray","raw_affiliation_strings":["Department of Elect. Engineering, University of Stanford, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Elect. Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003110029"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03201439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"190","issue":null,"first_page":"310","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9864000082015991,"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/vector-quantization","display_name":"Vector quantization","score":0.6394261121749878},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6228212118148804},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5530166625976562},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.5516906976699829},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5515338778495789},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5146844983100891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5079475045204163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.459629625082016},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45540058612823486},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4537988603115082},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.42448610067367554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41828474402427673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21476700901985168}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6394261121749878},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6228212118148804},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5530166625976562},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.5516906976699829},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5515338778495789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5146844983100891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5079475045204163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.459629625082016},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45540058612823486},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4537988603115082},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.42448610067367554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41828474402427673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21476700901985168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.1996.488336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Data Compression Conference - DCC '96","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1598266570","https://openalex.org/W1634005169","https://openalex.org/W1892179897","https://openalex.org/W1973640743","https://openalex.org/W2027277839","https://openalex.org/W2047028564","https://openalex.org/W2053834050","https://openalex.org/W2134383396","https://openalex.org/W2138368514","https://openalex.org/W2753635250","https://openalex.org/W3216067840","https://openalex.org/W4255455317","https://openalex.org/W4256619705","https://openalex.org/W6635777585","https://openalex.org/W6639588530","https://openalex.org/W6743659993"],"related_works":["https://openalex.org/W3209251257","https://openalex.org/W2094714038","https://openalex.org/W2144404403","https://openalex.org/W2024590010","https://openalex.org/W1758089587","https://openalex.org/W2120104138","https://openalex.org/W2160356423","https://openalex.org/W2131239515","https://openalex.org/W2246286285","https://openalex.org/W1894893224"],"abstract_inverted_index":{"Prediction":[0],"can":[1,12],"play":[2],"an":[3,102],"important":[4],"role":[5],"in":[6,35,48,88,96],"image":[7],"compression.":[8,66],"Better":[9],"rate-distortion":[10],"tradeoffs":[11],"be":[13],"achieved":[14],"by":[15,69],"coding":[16],"the":[17,24,58,60,62,64,78,81],"residuals":[18],"from":[19],"predictive":[20,51,73,98],"schemes":[21],"rather":[22],"than":[23],"direct":[25],"pixel":[26],"values.":[27],"The":[28],"price":[29],"is":[30,75],"only":[31],"a":[32,97],"modest":[33],"increase":[34],"complexity.":[36],"A":[37],"variety":[38],"of":[39,50,80],"linear":[40],"and":[41],"nonlinear":[42],"predictors":[43],"have":[44],"been":[45],"used":[46],"successfully":[47],"applications":[49],"vector":[52,99],"quantization.":[53],"It":[54],"makes":[55],"sense":[56],"that":[57],"better":[59,63],"prediction,":[61],"resulting":[65],"One":[67],"method":[68],"which":[70],"to":[71,76,90,104],"improve":[72],"accuracy":[74],"reduce":[77],"variability":[79],"predictions.":[82],"We":[83],"here":[84],"apply":[85],"ridge":[86],"regression":[87],"order":[89],"obtain":[91],"prediction":[92],"coefficients":[93],"for":[94],"use":[95],"quantizer":[100],"as":[101],"alternative":[103],"standard":[105],"Wiener-Hopf":[106],"techniques.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}