1. Reasoning about Time and Probability (1992) Keiji Kanazawa

2. Execution Monitoring with Quantitative Temporal Bayesian Networks (2002) D. Colbry, B. Peintner, M. Pollack

3. Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition (2003)  D. Minnen, I. Essa, T. Starner

4. ARGMode-Activity Recognition using Graphical Models (2003) M. Hamid, Y. Huang, I. Essa

5. Using GPS to Learn Significant Locations and Predict Movement Across Multiple Users (2003) Daniel Ashbrook and Thad Starner

6. Learning Patterns of Activity using Real-Time Tracking (2000) Chirs Stauffer and W. Eric L. Grimson

7. Video Surveillance of Interactions (1999) Yuri Ivanov, Chris Stauffer, Aaron Bobick, W. Eric L. Grimson

8. A Framework for Recognizing Multi-Agent Action From Visual Evidence (1999) Stephen S. Intille and Aaron Bobick

9. Learning from Observation: Conceptual Clustering (1983) Michalski, T.J. Carbonell and T.M. Mitchell

10. A Bayesian Approach to Unsupervised One-shot Learning of Object Categories (2003) Li Fei-Fei, Rob Fergus, and Pietro Perona

11. Knowledge Acquisition Via Incremental Conceptual Clustering (1987) Douglas H. Fisher

12. P-Net: Representation for Partially-Sequenced Multi-stream Activity (2003) Yifan Shi, and Aaron F. Bobick