{"id":"https://openalex.org/W2169738563","doi":"https://doi.org/10.1007/s11263-008-0204-y","title":"Twin Gaussian Processes for Structured Prediction","display_name":"Twin Gaussian Processes for Structured Prediction","publication_year":2009,"publication_date":"2009-02-11","ids":{"openalex":"https://openalex.org/W2169738563","doi":"https://doi.org/10.1007/s11263-008-0204-y","mag":"2169738563"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-008-0204-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-008-0204-y","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-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/A5085032007","display_name":"Liefeng Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liefeng Bo","raw_affiliation_strings":["TTI-Chicago, Chicago, IL, 60637, USA"],"affiliations":[{"raw_affiliation_string":"TTI-Chicago, Chicago, IL, 60637, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007658897","display_name":"Cristian Sminchisescu","orcid":"https://orcid.org/0000-0001-5256-886X"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Cristian Sminchisescu","raw_affiliation_strings":["University of Bonn, INS, Bonn, 53115, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn, INS, Bonn, 53115, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007658897"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":15.4185,"has_fulltext":false,"cited_by_count":262,"citation_normalized_percentile":{"value":0.99257098,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"87","issue":"1-2","first_page":"28","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.6460001468658447},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6398613452911377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6235445737838745},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6204078197479248},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6160451769828796},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6135269403457642},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5375082492828369},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5252399444580078},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.513202428817749},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4836629331111908},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4799419045448303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4782789647579193},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.4710176885128021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39864784479141235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3009307384490967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2682867646217346},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09591162204742432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460001468658447},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6398613452911377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6235445737838745},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6204078197479248},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6160451769828796},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6135269403457642},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5375082492828369},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5252399444580078},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.513202428817749},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4836629331111908},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4799419045448303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4782789647579193},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.4710176885128021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39864784479141235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3009307384490967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2682867646217346},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09591162204742432},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11263-008-0204-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-008-0204-y","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.165.5071","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.5071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ttic.uchicago.edu/%7Eblf0218/paper/ijcv10.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.8472","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.8472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/homes/lfb/paper/snowbird08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.7852","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.7852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sminchisescu.ins.uni-bonn.de/papers/tgp-snowb.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.8558","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.8558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sminchisescu.ins.uni-bonn.de/published/sm-ijcv09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W164706946","https://openalex.org/W391985582","https://openalex.org/W1551209770","https://openalex.org/W1565544260","https://openalex.org/W1594106604","https://openalex.org/W1638081485","https://openalex.org/W1643263348","https://openalex.org/W1689445748","https://openalex.org/W1746819321","https://openalex.org/W1865572126","https://openalex.org/W2001127164","https://openalex.org/W2013397696","https://openalex.org/W2034188144","https://openalex.org/W2040014961","https://openalex.org/W2059448777","https://openalex.org/W2099913338","https://openalex.org/W2101458411","https://openalex.org/W2101637493","https://openalex.org/W2102630415","https://openalex.org/W2103025041","https://openalex.org/W2103194807","https://openalex.org/W2104356402","https://openalex.org/W2105297815","https://openalex.org/W2105644991","https://openalex.org/W2107628931","https://openalex.org/W2108313990","https://openalex.org/W2108825216","https://openalex.org/W2112324405","https://openalex.org/W2114443179","https://openalex.org/W2115952485","https://openalex.org/W2121005842","https://openalex.org/W2122800222","https://openalex.org/W2123320529","https://openalex.org/W2123503110","https://openalex.org/W2123917177","https://openalex.org/W2126022292","https://openalex.org/W2129809168","https://openalex.org/W2130031702","https://openalex.org/W2131432112","https://openalex.org/W2132026986","https://openalex.org/W2133599250","https://openalex.org/W2134717813","https://openalex.org/W2136111243","https://openalex.org/W2136877925","https://openalex.org/W2137674454","https://openalex.org/W2138554417","https://openalex.org/W2141407058","https://openalex.org/W2142387771","https://openalex.org/W2144124341","https://openalex.org/W2144982973","https://openalex.org/W2145399221","https://openalex.org/W2145544165","https://openalex.org/W2146310005","https://openalex.org/W2147880316","https://openalex.org/W2151103935","https://openalex.org/W2152386463","https://openalex.org/W2152926413","https://openalex.org/W2156971099","https://openalex.org/W2157444450","https://openalex.org/W2158638750","https://openalex.org/W2161406034","https://openalex.org/W2161969291","https://openalex.org/W2163301840","https://openalex.org/W2165965486","https://openalex.org/W2166063021","https://openalex.org/W2167613337","https://openalex.org/W2169433763","https://openalex.org/W2172005475","https://openalex.org/W2429914308","https://openalex.org/W2492794003","https://openalex.org/W2571050459","https://openalex.org/W2951959563","https://openalex.org/W3187867541","https://openalex.org/W4246066915","https://openalex.org/W4246926188","https://openalex.org/W4285719527","https://openalex.org/W6629804754","https://openalex.org/W6635655929","https://openalex.org/W6675357706","https://openalex.org/W6675760969","https://openalex.org/W6678316439","https://openalex.org/W6679512965","https://openalex.org/W6681474176","https://openalex.org/W6683161245","https://openalex.org/W6684451488","https://openalex.org/W6684741808","https://openalex.org/W6685118896","https://openalex.org/W6731448343"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W4386190339","https://openalex.org/W2511384863","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2968424575","https://openalex.org/W2994787386"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":27},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
