{"id":"https://openalex.org/W2134364485","doi":"https://doi.org/10.1109/icip.2007.4380022","title":"Shape Priors by Kernel Density Modeling of PCA Residual Structure","display_name":"Shape Priors by Kernel Density Modeling of PCA Residual Structure","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2134364485","doi":"https://doi.org/10.1109/icip.2007.4380022","mag":"2134364485"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4380022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5057936203","display_name":"John Lewis","orcid":"https://orcid.org/0000-0002-6835-7263"},"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":"J.P. Lewis","raw_affiliation_strings":["Stanford University, Computer Graphics Lab"],"affiliations":[{"raw_affiliation_string":"Stanford University, Computer Graphics Lab","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060901333","display_name":"Iman Mostafavi","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iman Mostafavi","raw_affiliation_strings":["UC San Diego, Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"UC San Diego, Computer Science and Engineering","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033530478","display_name":"Gina E. Sosinsky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gina Sosinsky","raw_affiliation_strings":["National Center for Microscopy and Imaging Research"],"affiliations":[{"raw_affiliation_string":"National Center for Microscopy and Imaging Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108520194","display_name":"Maryanne E. Martone","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maryanne E. Martone","raw_affiliation_strings":["National Center for Microscopy and Imaging Research"],"affiliations":[{"raw_affiliation_string":"National Center for Microscopy and Imaging Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084654296","display_name":"Ruth West","orcid":"https://orcid.org/0000-0002-5013-8863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruth West","raw_affiliation_strings":["National Center for Microscopy and Imaging Research"],"affiliations":[{"raw_affiliation_string":"National Center for Microscopy and Imaging Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057936203"],"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":0.15730632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"IV ","last_page":" 333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9857000112533569,"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":0.6945624947547913},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6803018450737},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6059279441833496},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6015080213546753},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.5793764591217041},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5445847511291504},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5396572947502136},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5334166884422302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5294320583343506},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4979231357574463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48034751415252686},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4359641373157501},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.42767682671546936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.422085165977478},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.41271600127220154},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4103417992591858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37015557289123535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35142409801483154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2687399089336395},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.13450735807418823},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12580877542495728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1003582775592804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945624947547913},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6803018450737},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6059279441833496},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6015080213546753},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.5793764591217041},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5445847511291504},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5396572947502136},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5334166884422302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5294320583343506},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4979231357574463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48034751415252686},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4359641373157501},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42767682671546936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.422085165977478},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.41271600127220154},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4103417992591858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37015557289123535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35142409801483154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2687399089336395},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.13450735807418823},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12580877542495728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1003582775592804},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4380022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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":16,"referenced_works":["https://openalex.org/W1553171952","https://openalex.org/W2010575732","https://openalex.org/W2089700743","https://openalex.org/W2097324202","https://openalex.org/W2104095591","https://openalex.org/W2118020555","https://openalex.org/W2123176293","https://openalex.org/W2123395888","https://openalex.org/W2132747970","https://openalex.org/W2143452246","https://openalex.org/W2157876396","https://openalex.org/W3143250005","https://openalex.org/W3184666341","https://openalex.org/W4299441806","https://openalex.org/W6675770446","https://openalex.org/W6679240479"],"related_works":["https://openalex.org/W1967066850","https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2442657908","https://openalex.org/W2001772920","https://openalex.org/W2393746448","https://openalex.org/W2905418897","https://openalex.org/W2398887903","https://openalex.org/W2534878021","https://openalex.org/W1998640076"],"abstract_inverted_index":{"Modern":[0],"image":[1],"processing":[2],"techniques":[3],"increasingly":[4,148],"use":[5],"prior":[6,22],"models":[7],"of":[8,12,77,97,108],"the":[9,30,36,69,78,106],"expected":[10],"distribution":[11,110],"objects.":[13],"Principal":[14],"component":[15],"eigen-models":[16],"are":[17,25,48,103],"often":[18],"selected":[19],"for":[20,50],"shape":[21,111,127],"modeling,":[23],"but":[24,47],"limited":[26,132],"in":[27,42,95,105,135],"capturing":[28],"only":[29],"second":[31],"order":[32],"moment":[33],"statistics.":[34],"On":[35],"other":[37],"hand,":[38],"kernel":[39,74],"densities":[40],"can":[41,92,115,128],"concept":[43],"reproduce":[44],"arbitrary":[45],"statistics,":[46],"problematic":[49],"high":[51],"dimensional":[52],"data":[53],"such":[54],"as":[55,119],"shapes.":[56],"An":[57],"evident":[58],"approach":[59,142],"is":[60,143],"to":[61,67],"combine":[62],"these":[63],"methods,":[64],"using":[65],"PCA":[66,79],"reduce":[68],"problem":[70],"dimensionality,":[71],"followed":[72],"by":[73],"density":[75],"modeling":[76,156],"coefficients.":[80],"In":[81],"this":[82,98],"paper":[83],"we":[84],"show":[85],"that":[86],"useful":[87,160],"algorithmic":[88,161],"and":[89,124,158],"editing":[90],"operations":[91,102],"be":[93,116,129],"formulated":[94],"term":[96],"simple":[99],"approach.":[100],"The":[101],"illustrated":[104],"context":[107],"point":[109],"models.":[112],"Particular":[113],"points":[114],"rapidly":[117],"evaluated":[118],"being":[120],"plausible":[121,126],"or":[122],"outliers,":[123],"a":[125,136],"completed":[130],"given":[131],"operator":[133],"input":[134],"manually":[137],"guided":[138],"procedure.":[139],"This":[140],"\"PCA+KD\"":[141],"conceptually":[144],"simple,":[145],"scalable":[146],"(becoming":[147],"accurate":[149],"with":[150],"additional":[151],"training":[152],"data),":[153],"provides":[154],"improved":[155],"power,":[157],"supports":[159],"queries.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
