{"id":"https://openalex.org/W2112230443","doi":"https://doi.org/10.1109/icpr.2006.219","title":"Adaptive Discriminant Projection for Content-based Image Retrieval","display_name":"Adaptive Discriminant Projection for Content-based Image Retrieval","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2112230443","doi":"https://doi.org/10.1109/icpr.2006.219","mag":"2112230443"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2006.219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","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/A5100780330","display_name":"Jie Yu","orcid":"https://orcid.org/0000-0002-8130-2099"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Yu","raw_affiliation_strings":["Department of Computer Science, University of Texas, San Antonio, USA","Department of Computer Science, University of Texas, San Antonio, TX"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas, San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Department of Computer Science, University of Texas, San Antonio, USA","Department of Computer Science, University of Texas, San Antonio, TX"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas, San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100780330"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":3.4259,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93147343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"84","issue":null,"first_page":"165","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T10057","display_name":"Face and Expression Recognition","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.7728320360183716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7036514282226562},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.6896927356719971},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6671597361564636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6377931833267212},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6111682653427124},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5971328616142273},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5271522402763367},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5235342979431152},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5114023089408875},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.47988808155059814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35729023814201355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34124991297721863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09902012348175049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728320360183716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7036514282226562},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.6896927356719971},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6671597361564636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6377931833267212},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6111682653427124},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5971328616142273},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5271522402763367},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5235342979431152},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5114023089408875},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.47988808155059814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35729023814201355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34124991297721863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09902012348175049},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2006.219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W2046649434","https://openalex.org/W2090892397","https://openalex.org/W2121647436","https://openalex.org/W2133491976","https://openalex.org/W2133604244","https://openalex.org/W2139960518","https://openalex.org/W2145073242","https://openalex.org/W2148694408","https://openalex.org/W2217896605","https://openalex.org/W2799061466","https://openalex.org/W4244494905","https://openalex.org/W4250857377","https://openalex.org/W6679997144","https://openalex.org/W6680869582","https://openalex.org/W6681651645"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Content-based":[0],"Image":[1],"Retrieval":[2],"(CBIR)":[3],"is":[4,105,144],"a":[5,39,48],"computer":[6],"vision":[7],"application":[8],"that":[9,41,82,103],"aims":[10],"at":[11],"automatically":[12],"retrieving":[13],"images":[14,60,91],"based":[15,124],"on":[16,125,162],"their":[17,35],"visual":[18,99],"content.":[19],"Linear":[20],"Discriminat":[21],"Analysis":[22],"and":[23,51,68,101,155,166],"its":[24],"variants":[25],"have":[26],"been":[27],"widely":[28],"used":[29],"in":[30,37,73,107],"CBIR":[31],"applications":[32],"because":[33],"of":[34,87,128,177],"effectiveness":[36],"finding":[38],"projection":[40],"maps":[42],"the":[43,53,74,83,97,126,133,137,159,174],"original":[44],"highdimensional":[45],"space":[46],"to":[47,70,151,158],"low-dimensional":[49],"one":[50],"preserves":[52],"most":[54],"discriminant":[55],"features.":[56],"Those":[57],"techniques":[58,161],"assume":[59],"from":[61,96],"certain":[62],"class(es)":[63],"are":[64,149],"all":[65],"visually":[66],"similar":[67],"try":[69],"cluster":[71],"them":[72,157],"projected":[75],"space.":[76],"In":[77],"this":[78],"paper":[79],"we":[80],"show":[81,173],"human":[84],"high-level":[85],"concept":[86],"semantic":[88],"similarity":[89,100],"between":[90],"may":[92],"not":[93],"arise":[94],"only":[95],"low-level":[98],"consequently":[102],"assumption":[104],"inappropriate":[106],"many":[108],"cases.":[109],"We":[110],"propose":[111],"an":[112],"Adaptive":[113,141],"Discrimant":[114],"Projection":[115,143],"(ADP)":[116],"framework":[117],"which":[118],"could":[119],"model":[120,135],"different":[121,129],"data":[122,164],"distributions":[123],"clustering":[127],"classes.":[130],"To":[131],"learn":[132],"best":[134],"fitting":[136],"real":[138,167],"scenario,":[139],"Boosted":[140],"Discriminant":[142],"further":[145],"proposed.":[146],"Extensive":[147],"experiments":[148],"designed":[150],"evaluate":[152],"our":[153,178],"methods":[154],"compare":[156],"state-of-the-art":[160],"benchmark":[163],"set":[165],"image":[168],"retrieval":[169],"applications.":[170],"The":[171],"results":[172],"superior":[175],"performance":[176],"proposed":[179],"methods.":[180]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}