Jo-Anne Ting

Publication Activity (10 Years)

Years Active: 2005-2013
Publications (10 Years): 0

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IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Wei-Lwun Lu, Jo-Anne Ting, James J. Little, Kevin P. Murphy
Learning to Track and Identify Players from Broadcast Sports Videos. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
Bayesian robot system identification with input and output noise. Neural Networks 24 (1) (2011)
Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little
Identifying players in broadcast sports videos using conditional random fields. CVPR (2011)
Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting
Learning attentional policies for tracking and recognition in video with deep networks. ICML (2011)
Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar
Active estimation of object dynamics parameters with tactile sensors. IROS (2010)
Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar
Active Sequential Learning with Tactile Feedback. AISTATS (2010)
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
Efficient Learning and Feature Selection in High-Dimensional Regression. Neural Comput. 22 (4) (2010)
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal
Bayesian Kernel Shaping for Learning Control. NIPS (2008)
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
A Bayesian approach to empirical local linearization for robotics. ICRA (2008)
Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
Variational Bayesian least squares: An application to brain-machine interface data. Neural Networks 21 (8) (2008)
Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
Learning an Outlier-Robust Kalman Filter. ECML (2007)
Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
A Kalman filter for robust outlier detection. IROS (2007)
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
Automatic Outlier Detection: A Bayesian Approach. ICRA (2007)
Jo-Anne Ting, Michael N. Mistry, Jan Peters, Stefan Schaal, Jun Nakanishi
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. Robotics: Science and Systems (2006)
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
Bayesian regression with input noise for high dimensional data. ICML (2006)
Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Lauren Sergio, Shinji Kakei, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. NIPS (2005)