{"id":"https://openalex.org/W2137559179","doi":"https://doi.org/10.1109/cvpr.2011.5995688","title":"Generalized Gaussian process models","display_name":"Generalized Gaussian process models","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2137559179","doi":"https://doi.org/10.1109/cvpr.2011.5995688","mag":"2137559179"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065680386","display_name":"Antoni B. Chan","orcid":"https://orcid.org/0000-0002-2886-2513"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Antoni B. Chan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China","Department of Computer Science|City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science|City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027969886","display_name":"Daxiang Dong","orcid":"https://orcid.org/0000-0003-4639-3375"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Daxiang Dong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China","Department of Computer Science|City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science|City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":1.3489,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.81718318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2681","last_page":"2688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9753999710083008,"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/gaussian-process","display_name":"Gaussian process","score":0.705468475818634},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6429738402366638},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.6342860460281372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120259761810303},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6099219918251038},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.47340497374534607},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46610933542251587},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4580061435699463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4532323181629181},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4523622691631317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44731223583221436},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.44587352871894836},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4311874508857727},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42121535539627075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37419402599334717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.353149950504303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32489731907844543},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.28794437646865845}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.705468475818634},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6429738402366638},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.6342860460281372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120259761810303},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6099219918251038},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.47340497374534607},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46610933542251587},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4580061435699463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4532323181629181},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4523622691631317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44731223583221436},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.44587352871894836},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4311874508857727},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42121535539627075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37419402599334717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.353149950504303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32489731907844543},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.28794437646865845},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W165787321","https://openalex.org/W1488180145","https://openalex.org/W1496288003","https://openalex.org/W1515272691","https://openalex.org/W1518117059","https://openalex.org/W1528905581","https://openalex.org/W1579851208","https://openalex.org/W1584127072","https://openalex.org/W1604693428","https://openalex.org/W1746819321","https://openalex.org/W1994005439","https://openalex.org/W2018798674","https://openalex.org/W2027248184","https://openalex.org/W2036084078","https://openalex.org/W2037629065","https://openalex.org/W2048001927","https://openalex.org/W2058515461","https://openalex.org/W2072075581","https://openalex.org/W2096044283","https://openalex.org/W2104731576","https://openalex.org/W2107152312","https://openalex.org/W2107628931","https://openalex.org/W2113786648","https://openalex.org/W2117063635","https://openalex.org/W2123175289","https://openalex.org/W2124609748","https://openalex.org/W2128638437","https://openalex.org/W2130397644","https://openalex.org/W2130761473","https://openalex.org/W2131590007","https://openalex.org/W2136745795","https://openalex.org/W2139057955","https://openalex.org/W2142172505","https://openalex.org/W2142575165","https://openalex.org/W2148319469","https://openalex.org/W2149161954","https://openalex.org/W2151386286","https://openalex.org/W2152826865","https://openalex.org/W2154770211","https://openalex.org/W2157826563","https://openalex.org/W2169738563","https://openalex.org/W2541389513","https://openalex.org/W2605944849","https://openalex.org/W3011144947","https://openalex.org/W3015463134","https://openalex.org/W4205687621","https://openalex.org/W4211049957","https://openalex.org/W4253295021","https://openalex.org/W6606745025","https://openalex.org/W6629628127","https://openalex.org/W6634702241","https://openalex.org/W6636127909","https://openalex.org/W6674636896","https://openalex.org/W6675736592","https://openalex.org/W6679195571","https://openalex.org/W6679512744","https://openalex.org/W6680269927","https://openalex.org/W6680821758","https://openalex.org/W6682879986","https://openalex.org/W6683442033"],"related_works":["https://openalex.org/W2724279847","https://openalex.org/W4291707612","https://openalex.org/W2794883431","https://openalex.org/W3147216978","https://openalex.org/W2071895511","https://openalex.org/W1979159029","https://openalex.org/W1978440495","https://openalex.org/W2131810416","https://openalex.org/W2244749007","https://openalex.org/W2763914732"],"abstract_inverted_index":{"We":[0,93],"propose":[1],"a":[2,10,96],"generalized":[3,54],"Gaussian":[4,17],"process":[5,18],"model":[6,38],"(GGPM),":[7],"which":[8,84],"is":[9,39],"unifying":[11],"framework":[12],"that":[13],"encompasses":[14],"many":[15],"existing":[16],"(GP)":[19],"models,":[20],"such":[21],"as":[22],"GP":[23,37,55,69,72,123,132],"regression,":[24],"classification,":[25],"and":[26,106,125],"counting.":[27],"In":[28],"the":[29,32,36,43,53,63,78,81,104,117],"GGPM":[30],"framework,":[31],"observation":[33],"likelihood":[34,82],"of":[35,80],"itself":[40],"parameterized":[41],"using":[42,116],"exponential":[44],"family":[45],"distribution.":[46],"By":[47],"deriving":[48],"approximate":[49],"inference":[50,102],"algorithms":[51],"for":[52,89,101,134],"model,":[56,105],"we":[57,119],"are":[58,74],"able":[59],"to":[60,66],"easily":[61],"apply":[62],"same":[64],"algorithm":[65],"all":[67],"other":[68,111],"models.":[70],"Novel":[71],"models":[73,124,133],"created":[75],"by":[76],"changing":[77],"parameterization":[79],"function,":[83],"greatly":[85],"simplifies":[86],"their":[87,127],"creation":[88],"task-specific":[90,131],"output":[91],"domains.":[92],"also":[94],"derive":[95],"closed-form":[97,113],"efficient":[98],"Taylor":[99],"approximation":[100],"on":[103],"draw":[107],"interesting":[108],"connections":[109],"with":[110],"model-specific":[112],"approximations.":[114],"Finally,":[115],"GGPM,":[118],"create":[120],"several":[121],"new":[122],"show":[126],"efficacy":[128],"in":[129],"building":[130],"computer":[135],"vision.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}