Jo-Anne Ting
Jo-Anne Ting
DataSeer
Bestätigte E-Mail-Adresse bei dataseer.digital - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2232013
A Kalman filter for robust outlier detection
JA Ting, E Theodorou, S Schaal
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
1552007
Identifying players in broadcast sports videos using conditional random fields
WL Lu, JA Ting, KP Murphy, JJ Little
CVPR 2011, 3249-3256, 2011
772011
Learning an outlier-robust Kalman filter
JA Ting, E Theodorou, S Schaal
European Conference on Machine Learning, 748-756, 2007
652007
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
642006
Automatic outlier detection: A Bayesian approach
JA Ting, A D'Souza, S Schaal
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
552007
Learning attentional policies for tracking and recognition in video with deep networks
L Bazzani, N de Freitas, H Larochelle, V Murino, JA Ting
ICML, 2011
522011
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
492008
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
302010
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
212008
Bayesian robot system identification with input and output noise
JA Ting, A D’Souza, S Schaal
Neural Networks 24 (1), 99-108, 2011
192011
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, 1361-1368, 2005
192005
Bayesian kernel shaping for learning control
JA Ting, M Kalakrishnan, S Vijayakumar, S Schaal
182008
Locally Weighted Regression for Control.
JA Ting, S Vijayakumar, S Schaal
Encyclopedia of Machine Learning 11, 613-624, 2010
162010
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
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
92010
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20