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Jo-Anne Ting
Jo-Anne Ting
Founder & Engineer
在 acm.org 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Learning to track and identify players from broadcast sports videos
WL Lu, JA Ting, JJ Little, KP Murphy
IEEE transactions on pattern analysis and machine intelligence 35 (7), 1704-1716, 2013
3292013
A Kalman filter for robust outlier detection
JA Ting, E Theodorou, S Schaal
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
2022007
Identifying players in broadcast sports videos using conditional random fields
WL Lu, JA Ting, KP Murphy, JJ Little
CVPR 2011, 3249-3256, 2011
952011
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
JA Ting, MN Mistry, J Peters, S Schaal, J Nakanishi
Robotics: Science and systems, 32-39, 2006
842006
Learning an outlier-robust Kalman filter
JA Ting, E Theodorou, S Schaal
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
822007
Automatic outlier detection: A Bayesian approach
JA Ting, A D'Souza, S Schaal
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
692007
Learning attentional policies for tracking and recognition in video with deep networks
L Bazzani, H Larochelle, V Murino, J Ting, ND Freitas
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
582011
Variational Bayesian least squares: An application to brain–machine interface data
JA Ting, A D’Souza, K Yamamoto, T Yoshioka, D Hoffman, S Kakei, ...
Neural Networks 21 (8), 1112-1131, 2008
542008
Active estimation of object dynamics parameters with tactile sensors
HP Saal, JA Ting, S Vijayakumar
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
442010
Bayesian robot system identification with input and output noise
JA Ting, A D’Souza, S Schaal
Neural Networks 24 (1), 99-108, 2011
302011
Efficient learning and feature selection in high-dimensional regression
JA Ting, A D'Souza, S Vijayakumar, S Schaal
Neural computation 22 (4), 831-886, 2010
302010
Active sequential learning with tactile feedback
H Saal, JA Ting, S Vijayakumar
Proceedings of the Thirteenth International Conference on Artificial …, 2010
272010
Locally Weighted Regression for Control.
JA Ting, S Vijayakumar, S Schaal
Encyclopedia of Machine Learning 11, 613-624, 2010
252010
A bayesian approach to empirical local linearization for robotics
JA Ting, A D'Souza, S Vijayakumar, S Schaal
2008 IEEE International Conference on Robotics and Automation, 2860-2865, 2008
222008
Bayesian kernel shaping for learning control
JA Ting, M Kalakrishnan, S Vijayakumar, S Schaal
Advances in neural information processing systems 21, 2008
212008
Predicting EMG data from M1 neurons with variational Bayesian least squares
JA Ting, A D'souza, K Yamamoto, T Yoshioka, D Hoffman, S Kakei, ...
Advances in neural information processing systems 18, 2005
202005
Bayesian regression with input noise for high dimensional data
JA Ting, A D'souza, S Schaal
Proceedings of the 23rd International Conference on Machine Learning, 937-944, 2006
162006
Learning attentional mechanisms for simultaneous object tracking and recognition with deep networks
L Bazzani, N de Freitas, JA Ting
NIPS 2010 Deep Learning and Unsupervised Feature Learning Workshop 32, 3, 2010
122010
Method for personalized context-aware, and privacy preserving real-time brokerage for advertising
S Srinivasan, J Heit, C Soares, JA Ting
US Patent App. 13/828,817, 2014
62014
Exploring passive-dynamic walking
G Berman, JA Ting
Complex Systems Summer School, 2005
62005
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