{"id":"https://openalex.org/W2118409682","doi":"https://doi.org/10.1109/cvpr.2003.1211425","title":"Local appearance-based models using high-order statistics of image features","display_name":"Local appearance-based models using high-order statistics of image features","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2118409682","doi":"https://doi.org/10.1109/cvpr.2003.1211425","mag":"2118409682"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5083027866","display_name":"B. Moghaddam","orcid":"https://orcid.org/0000-0002-0046-0731"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"B. Moghaddam","raw_affiliation_strings":["Research Laboratories, Mitsubishi Electric Corporation Limited, Cambridge, MA, USA","Res. Labs., Mitsubishi Electr., Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Research Laboratories, Mitsubishi Electric Corporation Limited, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Res. Labs., Mitsubishi Electr., Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051657362","display_name":"D. Guillamet","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]},{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"D. Guillamet","raw_affiliation_strings":["Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma Barcelona, Barcelona, Spain","Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942","https://openalex.org/I4387153096"]},{"raw_affiliation_string":"Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048383795","display_name":"Jordi Vitri\u00e0","orcid":"https://orcid.org/0000-0003-1484-539X"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]},{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Vitria","raw_affiliation_strings":["Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma Barcelona, Barcelona, Spain","Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942","https://openalex.org/I4387153096"]},{"raw_affiliation_string":"Computer Vision Center, Department Inform\u00e0tica, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083027866"],"corresponding_institution_ids":["https://openalex.org/I1306287861","https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.8075,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74888777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/mnist-database","display_name":"MNIST database","score":0.7204673290252686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6884082555770874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.661264181137085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6503722667694092},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.543196976184845},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5351048111915588},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.468894898891449},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4416421949863434},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43600142002105713},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.42378589510917664},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42171555757522583},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41686758399009705},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4162302017211914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4153899550437927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34773868322372437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29605966806411743},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.21153834462165833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12534105777740479}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7204673290252686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6884082555770874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.661264181137085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6503722667694092},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.543196976184845},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5351048111915588},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.468894898891449},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4416421949863434},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43600142002105713},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.42378589510917664},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42171555757522583},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41686758399009705},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4162302017211914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4153899550437927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34773868322372437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29605966806411743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.21153834462165833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12534105777740479},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2003.1211425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.122.2035","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.2035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ieeexplore.ieee.org/iel5/8603/27265/01211425.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1773272891","https://openalex.org/W1853799209","https://openalex.org/W1917380066","https://openalex.org/W1984757472","https://openalex.org/W1996355918","https://openalex.org/W2015206503","https://openalex.org/W2057175746","https://openalex.org/W2099741732","https://openalex.org/W2111308925","https://openalex.org/W2124087378","https://openalex.org/W2127545084","https://openalex.org/W2128716185","https://openalex.org/W2166713160","https://openalex.org/W2168310177","https://openalex.org/W2620898487","https://openalex.org/W2914885528","https://openalex.org/W6684788920"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2552919655","https://openalex.org/W1506441410"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,87,120],"novel":[3],"local":[4,25],"appearance":[5],"modeling":[6,139],"method":[7],"for":[8],"object":[9,98],"detection":[10],"and":[11,32,75,108],"recognition":[12],"in":[13,86],"cluttered":[14,109],"scenes.":[15],"The":[16,40],"approach":[17],"is":[18,129],"based":[19,71],"on":[20,72],"the":[21,35,79,92,96,125,133],"joint":[22,58],"distribution":[23],"of":[24,81,83,114,140],"feature":[26],"vectors":[27],"at":[28],"multiple":[29],"salient":[30],"points":[31],"factorization":[33],"with":[34,111,116,124],"independent":[36],"component":[37],"analysis":[38],"(ICA).":[39],"resulting":[41],"densities":[42],"are":[43,69],"simple":[44],"multiplicative":[45],"distributions":[46],"modeled":[47],"through":[48],"adaptive":[49],"Gaussian":[50],"mixture":[51],"models.":[52],"This":[53],"leads":[54],"to":[55,131],"computationally":[56],"tractable":[57],"probability":[59],"densities,":[60],"which":[61,90],"can":[62],"model":[63],"high-order":[64,141],"dependencies.":[65,142],"Furthermore,":[66],"different":[67,106,112],"models":[68],"compared":[70],"appearance,":[73],"color":[74],"geometry":[76],"information.":[77],"Also,":[78],"combination":[80],"all":[82],"them":[84],"results":[85,94],"hybrid":[88],"model,":[89],"obtains":[91],"best":[93],"using":[95],"COIL-100":[97],"database.":[99],"Our":[100],"technique":[101],"has":[102],"been":[103],"tested":[104],"under":[105],"natural":[107],"scenes":[110],"degrees":[113],"occlusions":[115],"promising":[117],"results.":[118],"Finally,":[119],"large":[121],"statistical":[122],"test":[123],"MNIST":[126],"digit":[127],"database":[128],"used":[130],"demonstrate":[132],"improved":[134],"performance":[135],"obtained":[136],"by":[137],"explicit":[138]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}