![Robot control / Linear filters / Markov models / Particle filter / Kalman filter / Hidden Markov model / Mixture model / Gaussian function / Bayesian inference / Statistics / Bayesian statistics / Estimation theory Robot control / Linear filters / Markov models / Particle filter / Kalman filter / Hidden Markov model / Mixture model / Gaussian function / Bayesian inference / Statistics / Bayesian statistics / Estimation theory](https://www.pdfsearch.io/img/d73f56018cdb4f71f14ee9b55bcf36d8.jpg) Date: 2015-01-05 23:35:35Robot control Linear filters Markov models Particle filter Kalman filter Hidden Markov model Mixture model Gaussian function Bayesian inference Statistics Bayesian statistics Estimation theory | | Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a nAdd to Reading ListSource URL: www-personal.acfr.usyd.edu.auDownload Document from Source Website File Size: 626,66 KBShare Document on Facebook
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