Gp-bayesfilters: bayesian filtering using gaussian process prediction and observation models. Ko, J. & Fox, D. Auton. Robot., 27(1):75–90, 2009. bibtex @Article{SCC.Ko.Fox2009,
author = {Ko, Jonathan and Fox, Dieter},
title = {Gp-bayesfilters: bayesian filtering using gaussian process prediction and observation models},
journal = {Auton. Robot.},
year = {2009},
volume = {27},
number = {1},
pages = {75--90},
owner = {aparikh},
timestamp = {2016-10-04},
}
Downloads: 0
{"_id":"oNBPiuQwFdp244QRc","bibbaseid":"ko-fox-gpbayesfiltersbayesianfilteringusinggaussianprocesspredictionandobservationmodels-2009","authorIDs":[],"author_short":["Ko, J.","Fox, D."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Ko"],"firstnames":["Jonathan"],"suffixes":[]},{"propositions":[],"lastnames":["Fox"],"firstnames":["Dieter"],"suffixes":[]}],"title":"Gp-bayesfilters: bayesian filtering using gaussian process prediction and observation models","journal":"Auton. Robot.","year":"2009","volume":"27","number":"1","pages":"75–90","owner":"aparikh","timestamp":"2016-10-04","bibtex":"@Article{SCC.Ko.Fox2009,\r\n author = {Ko, Jonathan and Fox, Dieter},\r\n title = {Gp-bayesfilters: bayesian filtering using gaussian process prediction and observation models},\r\n journal = {Auton. Robot.},\r\n year = {2009},\r\n volume = {27},\r\n number = {1},\r\n pages = {75--90},\r\n owner = {aparikh},\r\n timestamp = {2016-10-04},\r\n}\r\n\r\n","author_short":["Ko, J.","Fox, D."],"key":"SCC.Ko.Fox2009","id":"SCC.Ko.Fox2009","bibbaseid":"ko-fox-gpbayesfiltersbayesianfilteringusinggaussianprocesspredictionandobservationmodels-2009","role":"author","urls":{},"downloads":0},"bibtype":"article","biburl":"https://www.dropbox.com/s/ulqmhc6o5w2em3p/sccmaster.bib?dl=1","creationDate":"2019-05-28T23:29:25.093Z","downloads":0,"keywords":[],"search_terms":["bayesfilters","bayesian","filtering","using","gaussian","process","prediction","observation","models","ko","fox"],"title":"Gp-bayesfilters: bayesian filtering using gaussian process prediction and observation models","year":2009,"dataSources":["aDrN6vnZWqY8fA7E8"]}