{"id":"https://openalex.org/W1912404118","doi":"https://doi.org/10.1109/dcc.2004.1281532","title":"Image classification using adaptive-boosting and tree-structured discriminant vector quantization","display_name":"Image classification using adaptive-boosting and tree-structured discriminant vector quantization","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W1912404118","doi":"https://doi.org/10.1109/dcc.2004.1281532","mag":"1912404118"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2004.1281532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2004.1281532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2004. Proceedings. DCC 2004","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/A5029467716","display_name":"Kivanc Ozonat","orcid":"https://orcid.org/0000-0002-4842-6292"},"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":"K.M. Ozonat","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, Stanford, CA, USA","[Dept. of Electr. Eng., Stanford Univ., CA, USA]"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, Stanford, CA, USA","institution_ids":[]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., 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 Electrical Engineering, University of Stanford, Stanford, CA, USA","[Dept. of Electr. Eng., Stanford Univ., CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., CA, USA]","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029467716"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.8199,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73879522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"556","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9344000220298767,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9344000220298767,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9144999980926514,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7270185947418213},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6659876108169556},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6333214640617371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6328834891319275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6319401860237122},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6016385555267334},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.5730263590812683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5576427578926086},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5050416588783264},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4899674952030182},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4579741656780243},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4538314938545227},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4322552978992462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33387070894241333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16257014870643616}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7270185947418213},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6659876108169556},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6333214640617371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6328834891319275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6319401860237122},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6016385555267334},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.5730263590812683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5576427578926086},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5050416588783264},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4899674952030182},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4579741656780243},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4538314938545227},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4322552978992462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33387070894241333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16257014870643616}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2004.1281532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2004.1281532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2004. Proceedings. DCC 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2352648934","https://openalex.org/W2378212145","https://openalex.org/W2145213141","https://openalex.org/W2100968651","https://openalex.org/W2158420043","https://openalex.org/W2071781501","https://openalex.org/W4243803532","https://openalex.org/W3193872944","https://openalex.org/W1805748654","https://openalex.org/W1530767163"],"abstract_inverted_index":{"According":[0],"to":[1],"the":[2,8,13,17,20,23,26,30,38,44,59,68,75,82,85,89,104],"principle":[3],"of":[4,19,22,29,58,74,84,100],"minimum":[5],"description":[6,27],"length,":[7],"best":[9],"statistical":[10],"classifier":[11],"is":[12,78,95],"one":[14],"that":[15,46],"minimizes":[16],"sum":[18],"complexity":[21],"model":[24],"and":[25],"length":[28],"training":[31,86],"data.":[32],"This":[33,92],"paper":[34],"focuses":[35],"on":[36,67,97],"improving":[37],"classification":[39],"rate":[40],"through":[41],"correctly":[42],"classifying":[43],"vectors":[45,87],"are":[47],"misclassified":[48],"by":[49,80],"classifiers.":[50],"For":[51],"this":[52],"purpose,":[53],"a":[54,98],"new":[55,93],"tree-structured":[56,62],"version":[57],"algorithm,":[60],"namely":[61],"discriminant":[63],"vector":[64],"quantisation,":[65],"based":[66],"BFOS":[69],"algorithm.":[70,91],"The":[71],"major":[72],"problem":[73],"conventional":[76],"algorithm":[77,94],"overcome":[79],"modifying":[81],"pdf":[83],"using":[88],"adaptive-boosting":[90],"implemented":[96],"set":[99],"seven":[101],"textures":[102],"from":[103],"Brodatz":[105],"data":[106],"set.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}