1996 Papers

• C. Boutilier and D. Poole, Computing Optimal Policies for Partially Observable Decision Processes using Compact Representations. Proc. Thirteenth National Conference on Artificial Intelligence, (AAAI-96), Portland, Oregon, August 1996. pdf
• A. Csinger and D. Poole, User Models and Perceptual Salience: Formal Abduction for Model Recognition and Presentation Design. Proc. Fifth International Conference on User Modeling, Kona, HI, 51-58, 1996. pdf
• A. Csinger and D. Poole, Adapting Decision Theory for Multimedia Presentation Design: User Modelling for Intent-based Authoring. Proc. Twelfth European Conference on Artificial Intelligence , (ECAI-96), Budapest, August 1996.
• M. Horsch and D. Poole, Flexible Policy Construction by Information Refinement. Proc. Twelfth Conference on Uncertainty in Artificial Intelligence, Portland Oregon, August 1996. pdf
• M. Horsch and D. Poole, Flexible Construction of Decision Functions using Information Refinement. Fall Symposium on Felxible Compuation in Intelligent Systems: Results, Issues and Opportunities, Proc AAAI, MIT,Cambridge, Mass, November 1996. pdf
• Jiping Lu and James J. Little, Geometric and Photometric Constraints and Surface Recovery (IEEE Conf. on Computer Vision and Pattern Recognition, 96) pdf
• John E. Lloyd and Vincent Hayward, A Discrete Algorithm for Fixed-path Trajectory Generation at Kinematic Singularities. presented at ICRA, 1996. pdf
• Alan K. Mackworth , Constraint-Based Design of Embedded Intelligent Systems. Strategic Directions in Computing Research, 1996. [html]
• Daniel P. McReynolds and David G. Lowe, Rigidity checking of 3D point correspondences under perspective projection . IEEE Transactions on Pattern Analysis and Machine Intelligence,18, 12, pp. 1174-85, (December 1996). ps
• Arthur R. Pope and David G. Lowe, Learning object recognition models from images . Early Visual Learning, eds. Shree Nayar and Tomaso Poggio, pp. 67-97. Oxford University Press, 1996. ps
• D. Poole, A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility. Proc. Twelfth Conference on Uncertainty in Artificial Intelligence, Portland, Oregon, August 1996. pdf
• Arthur R. Pope and David G. Lowe, Learning appearance models for object recognition . International Workshop on Object Representation for Computer Vision, Cambridge, England (April 1996). Proceedings published as Object Representation in Computer Vision II, J. Ponce, A. Zisserman, M. Hebert (Eds.), Springer-Verlag, pp. 201-219. ps
• J. Siira and D.K. Pai, Haptic Textures -- A Stochastic Approach. IEEE International Conference on Robotics and Automation,, (Minneapolis), pp. 557-562, April 1996. pdf
• D. Poole, Probabilistic conflicts in a search algorithm for estimating posterior probabilities in Bayesian networks. Artificial Intelligence, 88, 69-100, 1996. pdf
• Vladimir Tucakov, Michael Sahota, Don Murray, Alan Mackworth, Jim Little, Stewart Kingdon, Cullen Jenning and Ron Barman, Spinoza: A Stereoscopic Visually Guided Mobile Robot(Hawaii International Conference on System Sciences, 96)) pdf
• K. van den Doel and D. K. Pai, Performance Measures for Robot Manipulators: A Unified Approach. The Int. J. of Robotics Research, 15(1), pp.92--111. 1996. pdf
• K. van den Doel and D. K. Pai, Performance Measures for Locomotion Robots. Journal of Robotic Systems, special issue on mobile robots, December, 1996. pdf
• K. van den Doel and D. K. Pai, Synthesis of Shape Dependent Sounds with Physical Modeling. Proceedings of the International Conference on Auditory Displays, Palo Alto, 1996. pdf
• N.L. Zhang and D. Poole, Exploiting Causal Independence in Bayesian Network Inference. Journal of Artificial Intelligence Research, 5, 301-328, 1996. pdf