Probabilistic Graphical Models and Their Applications

1 Cassio de Campos and Qiang Ji, Improving Bayesian Network Parameter Learning using Constraints, International Conference in Pattern Recognition (ICPR), 2008.

2 Wenhui Liao and Qiang Ji, Exploiting Qualitative Domain Knowledge for Learning Bayesian Network Parameters with Incomplete Data, International Conference in Pattern Recognition (ICPR), 2008.

3 Cassio de Campos and Qiang Ji, Strategy Selection in Influence Diagrams using Imprecise Probabilities, the 24th Conference on Uncertainty in Artificial Intelligence (UAI), 2008.

4 Cassio de Campos, Yan Tong, and Qiang Ji, Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition, European Conference on Computer Vision (ECCV),2008.

5 Wenhui Liao and Qiang Ji, Efficient Non-myopic Value-of-Information Computation for Influence Diagrams, accepted by International Journal of Approximate Reasoning, International Journal of Approximate Reasoning

6 Yan Tong and Qiang Ji, Learning Bayesian Networks with Qualitative Constraints, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

7 Lei Zhang and Qiang Ji, Segmentation of Video Sequences using Spatial-temporal Conditional Random Fields, IEEE Workshop on Motion and Video Computing, 2008.

8 Semi-Qualitative Probabilistic Networks in Computer Vision Problems, Cassio P. de Campos, Lei Zhang, Yan Tong, and Qiang Ji, accepted by Special issue on imprecision, Journal of Statistical Theory and Practice.

9 Yan Tong, Wenhui Liao, Zheng Xue and Qiang Ji, A Unified Probabilistic Graphical Model for Spontaneous Facial Activity Modeling and Understanding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

10 Yongmian Zhang and Qiang Ji, Active and Dynamic Information Fusion for Multisensor Systems under Dynamic Bayesian Networks, IEEE Transactions on Systems, Man, and Cybernetics B, April, 2006.

11 Weihong Zhang and Qiang Ji, A Factorization Approach To Evaluating Simultaneous Influence Diagrams, IEEE Transactions on Systems, Man, and Cybernetics A, p746-754, Vol. 36, No. 4, July, 2006.

12 Yongmian Zhang, and Qiang Ji, Facial Expression Recognition with Dynamic Bayesian Networks, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. 27, No. 5, 2005.

13 Peng Wang and Qiang Ji, Multi-View Face Tracking with Factorial and Switching HMM, IEEE Workshop on the Applications of Computer Vision (WACV), 2005.

14 Yang Wang and Qiang Ji, A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.

15 Wenhui Liao, Weihong Zhang, and Qiang Ji, A Factor Tree Inference Algorithm for Bayesian Networks and its Application, the 16th IEEE International Conference on Tools with Artificial Intelligence, Nov., 2004.