Jo-Anne Ting

University of Edinburgh — United Kingdom

Engineering · Physical Sciences

14h-index790citations24works0.02yr avg
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Research Topics

Control Systems and Identification(9), Fault Detection and Control Systems(8), Gaussian Processes and Bayesian Inference(8), Neural Networks and Applications(3), Neural dynamics and brain function(3)

Publications24 total

Locally Weighted Regression for Control
Encyclopedia of Machine Learning and Data Mining·2017· 3 cited
Locally Weighted Regression for Control
Encyclopedia of Machine Learning and Data Mining·2016· 10 cited
Learning attentional policies for tracking and recognition in video with deep networks
2011· 46 cited
Identifying players in broadcast sports videos using conditional random fields
2011· 59 cited
A CONTEXT-AWARE AND REALITY-BASED LEARNING SYSTEM
INTED2011 Proceedings·2011
Locally Weighted Regression for Control
Encyclopedia of Machine Learning·2010· 20 cited
Active estimation of object dynamics parameters with tactile sensors
2010· 41 cited
Bayesian robot system identification with input and output noise
Neural Networks·2010· 28 cited
Active Sequential Learning with Tactile Feedback
ERA·2010· 17 citedOpen Access
Efficient Learning and Feature Selection in High-Dimensional Regression
Neural Computation·2009· 26 citedOpen Access
Bayesian methods for autonomous learning systems
2009· 7 cited
Active Filtering for Robot Tactile Learning
ERA·2009Open Access
Bayesian Kernel Shaping for Learning Control
ERA·2008· 14 citedOpen Access
Variational Bayesian least squares: An application to brain–machine interface data
Neural Networks·2008· 31 citedOpen Access
A Bayesian approach to empirical local linearization for robotics
2008· 15 cited
Proc. Advances in Neural Information Processing Systems (NIPS '08)
2008· 145 cited
A Kalman filter for robust outlier detection
2007· 141 cited
Learning an Outlier-Robust Kalman Filter
Lecture notes in computer science·2007· 56 cited
Automatic Outlier Detection: A Bayesian Approach
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings·2007· 44 cited
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics
2006· 60 citedOpen Access
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Frequent Co-authors

Stefan Schaal(14), Sethu Vijayakumar(9), Aaron D’Souza(8), Hannes P. Saal(3), Mrinal Kalakrishnan(2), Stefan Schaal(2), Evangelos A. Theodorou(2), Kenji Yamamoto(2), Toshinori Yoshioka(2), Donna S. Hoffman(2), Shinji Kakei(2), Lauren E. Sergio(2), John Kalaska(2), Mitsuo Kawato(2), Michael Mistry(1), Jan Peters(1), Jun Nakanishi(1), Wei-Lwun Lu(1), Kevin Murphy(1), James J. Little(1)