Jo-Anne Ting

18 papers A* 5A 3Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2017 — ch.
Locally Weighted Regression for Control.
Encyclopedia of Machine Learning and Data Mining
Jo-Anne Ting, Franziska Meier, Sethu Vijayakumar, Stefan Schaal
2013 J jnl
Learning to Track and Identify Players from Broadcast Sports Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei-Lwun Lu, Jo-Anne Ting, James J. Little, Kevin P. Murphy
2011 J jnl
Bayesian robot system identification with input and output noise.
Neural Networks
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2011 A* conf
Identifying players in broadcast sports videos using conditional random fields.
CVPR
Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little
2011 A* conf
Learning attentional policies for tracking and recognition in video with deep networks.
ICML
Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting
2010 A conf
Active Sequential Learning with Tactile Feedback.
AISTATS
Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar
2010 A conf
Active estimation of object dynamics parameters with tactile sensors.
IROS
Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar
2010 J jnl
Efficient Learning and Feature Selection in High-Dimensional Regression.
Neural Comput.
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2010 — ch.
Locally Weighted Regression for Control.
Encyclopedia of Machine Learning
Jo-Anne Ting, Sethu Vijayakumar, Stefan Schaal
2008 A* conf
A Bayesian approach to empirical local linearization for robotics.
ICRA
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2008 — conf
Bayesian Kernel Shaping for Learning Control.
NIPS
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal
2008 J jnl
Variational Bayesian least squares: An application to brain-machine interface data.
Neural Networks
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
2007 A conf
A Kalman filter for robust outlier detection.
IROS
Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
2007 A* conf
Automatic Outlier Detection: A Bayesian Approach.
ICRA
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2007 — conf
Learning an Outlier-Robust Kalman Filter.
ECML
Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
2006 — conf
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
Robotics: Science and Systems
Jo-Anne Ting, Michael N. Mistry, Jan Peters, Stefan Schaal, Jun Nakanishi
2006 A* conf
Bayesian regression with input noise for high dimensional data.
ICML
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2005 — conf
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares.
NIPS
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