GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
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[1] Jean-Jacques E. Slotine,et al. Stable adaptive control and recursive identification using radial Gaussian networks , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.
[2] Frank L. Lewis,et al. Aircraft Control and Simulation , 1992 .
[3] Paul W. Goldberg,et al. Regression with Input-dependent Noise: A Gaussian Process Treatment , 1997, NIPS.
[4] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[5] Josué Jr. Guimarães Ramos,et al. Airship dynamic modeling for autonomous operation , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).
[6] Klaus Obermayer,et al. Gaussian process regression: active data selection and test point rejection , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[7] Alexander J. Smola,et al. Sparse Greedy Gaussian Process Regression , 2000, NIPS.
[8] Nando de Freitas,et al. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks , 2000, UAI.
[9] Nando de Freitas,et al. Sequential Monte Carlo in Practice , 2001 .
[10] Thiagalingam Kirubarajan,et al. Estimation with Applications to Tracking and Navigation , 2001 .
[11] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[12] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[13] C. Rasmussen,et al. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting , 2002, NIPS.
[14] Neil D. Lawrence,et al. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression , 2003, AISTATS.
[15] Neil D. Lawrence,et al. Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data , 2003, NIPS.
[16] C. K. Liu,et al. Learning physics-based motion style with nonlinear inverse optimization , 2005, SIGGRAPH 2005.
[17] Alexander J. Smola,et al. Heteroscedastic Gaussian process regression , 2005, ICML.
[18] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[19] Agathe Girard,et al. Dynamic systems identification with Gaussian processes , 2005 .
[20] David J. Fleet,et al. Gaussian Process Dynamical Models , 2005, NIPS.
[21] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[22] Peter Szabó,et al. Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods , 2005, NIPS.
[23] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.
[24] Sebastian Thrun,et al. Discriminative Training of Kalman Filters , 2005, Robotics: Science and Systems.
[25] Dieter Fox,et al. Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.
[26] Rajesh P. N. Rao,et al. Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference , 2006, Robotics: Science and Systems.
[27] Alexei Makarenko,et al. Gaussian process models for sensor-centric robot localisation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[28] David J. Nott,et al. Semiparametric estimation of mean and variance functions for non-Gaussian data , 2006, Comput. Stat..
[29] Dieter Fox,et al. CRF-Filters: Discriminative Particle Filters for Sequential State Estimation , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[30] Dieter Fox,et al. GP-UKF: Unscented kalman filters with Gaussian process prediction and observation models , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[31] Wolfram Burgard,et al. Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals , 2007, IJCAI.
[32] Stefan Schaal,et al. Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model , 2007, IJCAI.
[33] Neil D. Lawrence,et al. WiFi-SLAM Using Gaussian Process Latent Variable Models , 2007, IJCAI.
[34] Dieter Fox,et al. Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[35] Wolfram Burgard,et al. Most likely heteroscedastic Gaussian process regression , 2007, ICML '07.
[36] Jan Peters,et al. Local Gaussian process regression for real-time model-based robot control , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[37] Wolfram Burgard,et al. Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness , 2008, ECML/PKDD.
[38] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[39] Dieter Fox,et al. Learning GP-BayesFilters via Gaussian process latent variable models , 2009, Auton. Robots.
[40] Dieter Fox,et al. Anatomically correct testbed hand control: Muscle and joint control strategies , 2009, 2009 IEEE International Conference on Robotics and Automation.