Jo-Anne Ting
Jo-Anne Ting
Arundo Analytics, Inc.
Verified email at arundo.com - Homepage
Title
Cited by
Cited by
Year
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
1812013
A Kalman filter for robust outlier detection
JA Ting, E Theodorou, S Schaal
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
1452007
Identifying players in broadcast sports videos using conditional random fields
WL Lu, JA Ting, KP Murphy, JJ Little
CVPR 2011, 3249-3256, 2011
672011
Learning an outlier-robust Kalman filter
JA Ting, E Theodorou, S Schaal
European Conference on Machine Learning, 748-756, 2007
602007
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
552006
Automatic outlier detection: A Bayesian approach
JA Ting, A D'Souza, S Schaal
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
532007
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
472011
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
442008
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
312010
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
292010
Active sequential learning with tactile feedback
H Saal, JA Ting, S Vijayakumar
Proceedings of the Thirteenth International Conference on Artificial …, 2010
242010
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
192008
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, 1361-1368, 2006
192006
Bayesian robot system identification with input and output noise
JA Ting, A D’Souza, S Schaal
Neural Networks 24 (1), 99-108, 2011
182011
Bayesian kernel shaping for learning control
JA Ting, M Kalakrishnan, S Vijayakumar, S Schaal
Advances in neural information processing systems, 1673-1680, 2009
152009
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
152006
Locally Weighted Regression for Control.
JA Ting, S Vijayakumar, S Schaal
Encyclopedia of Machine Learning 11, 613-624, 2010
142010
little, J., Murphy, K. 2013. Learning to track and identify players from broadcast sports videos
WL Lu, JA Ting
IEEE transactions on pattern analysis and machine intelligence 35 (7), 1704-1716, 2013
112013
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
82010
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
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