{"id":"https://openalex.org/W2024935685","doi":"https://doi.org/10.1109/cvpr.2009.5206576","title":"Shared Kernel Information Embedding for discriminative inference","display_name":"Shared Kernel Information Embedding for discriminative inference","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2024935685","doi":"https://doi.org/10.1109/cvpr.2009.5206576","mag":"2024935685"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206576","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5053011888","display_name":"Leonid Sigal","orcid":"https://orcid.org/0000-0002-3942-2804"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Leonid Sigal","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Canada","DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030440955","display_name":"Roland Memisevic","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Roland Memisevic","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Canada","DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035123135","display_name":"David J. Fleet","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David J. Fleet","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Canada","DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053011888"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":8.1429,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97854705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2852","last_page":"2859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/discriminative-model","display_name":"Discriminative model","score":0.819172739982605},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.75407874584198},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7456434965133667},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6857178807258606},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6399391293525696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292948126792908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845810770988464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5303251147270203},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4705776572227478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44022130966186523},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.433029443025589},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.39524543285369873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32973945140838623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29680711030960083},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2281237542629242}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.819172739982605},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.75407874584198},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7456434965133667},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6857178807258606},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6399391293525696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292948126792908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845810770988464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5303251147270203},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4705776572227478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44022130966186523},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.433029443025589},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.39524543285369873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32973945140838623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29680711030960083},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2281237542629242},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2009.5206576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206576","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.2305","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.2305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brown.edu/~ls/Publications/cvpr2009sigal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.269.6259","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.6259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.toronto.edu/%7Erfm/pubs/PAMI11-SKIE.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1541825479","https://openalex.org/W1569392096","https://openalex.org/W1571870753","https://openalex.org/W2013247637","https://openalex.org/W2067191022","https://openalex.org/W2099333815","https://openalex.org/W2103025041","https://openalex.org/W2103510282","https://openalex.org/W2108313990","https://openalex.org/W2108825216","https://openalex.org/W2113469957","https://openalex.org/W2115609520","https://openalex.org/W2128638437","https://openalex.org/W2134717813","https://openalex.org/W2136111243","https://openalex.org/W2146310005","https://openalex.org/W2152926413","https://openalex.org/W2156971099","https://openalex.org/W2158268505","https://openalex.org/W2158638750","https://openalex.org/W2165653644","https://openalex.org/W2342239267","https://openalex.org/W2611351869","https://openalex.org/W6675631895","https://openalex.org/W6680375596"],"related_works":["https://openalex.org/W2461917396","https://openalex.org/W2037497866","https://openalex.org/W4243467573","https://openalex.org/W1502435251","https://openalex.org/W62001224","https://openalex.org/W3032390039","https://openalex.org/W1584341211","https://openalex.org/W3122667150","https://openalex.org/W4393387622","https://openalex.org/W3145681568"],"abstract_inverted_index":{"Latent":[0],"variable":[1,11],"models":[2],"(LVM),":[3],"like":[4],"the":[5,8,37,45,57,64,72,110],"shared-GPLVM":[6],"and":[7,43,55,87,94,96,116,148],"spectral":[9],"latent":[10,46,65,85,104],"model,":[12,132],"help":[13],"mitigate":[14],"over-fitting":[15],"when":[16],"learning":[17],"discriminative":[18],"methods":[19,29],"from":[20,31,44],"small":[21,121],"or":[22,106],"moderately":[23],"sized":[24],"training":[25],"sets.":[26],"Nevertheless,":[27],"existing":[28],"suffer":[30],"several":[32],"problems:":[33],"(1)":[34],"complexity;":[35],"(2)":[36],"lack":[38,58],"of":[39,59,109],"explicit":[40],"mappings":[41],"to":[42,51,100,127,137],"space;":[47],"(3)":[48],"an":[49],"inability":[50],"cope":[52],"with":[53],"multi-modality;":[54],"(4)":[56],"a":[60,69,80,84,103,129],"well-defined":[61],"density":[62,82],"over":[63,83],"space.":[66],"We":[67,154],"propose":[68],"LVM":[70],"called":[71],"shared":[73],"kernel":[74],"information":[75],"embedding":[76],"(sKIE).":[77],"It":[78],"defines":[79],"coherent":[81,130],"space":[86],"multiple":[88],"input/output":[89,111],"spaces":[90],"(e.g.,":[91],"image":[92],"features":[93],"poses),":[95],"it":[97,117],"is":[98,114],"easy":[99],"condition":[101],"on":[102,107,120],"state,":[105],"combinations":[108],"states.":[112],"Learning":[113],"quadratic,":[115],"works":[118],"well":[119],"datasets.":[122],"With":[123],"datasets":[124],"too":[125],"large":[126],"learn":[128,138],"global":[131],"one":[133],"can":[134],"use":[135,155],"sKIE":[136,142,156],"local":[139],"online":[140],"models.":[141],"permits":[143],"missing":[144],"data":[145,151],"during":[146,152],"inference,":[147],"partially":[149],"labelled":[150],"learning.":[153],"for":[157],"human":[158],"pose":[159],"inference.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}