Kevin Murphy's tutorial, including a recommended reading list.

Developing next generation real-time decision making tools for vision-guided automated intelligent cars.

Graphical models, machine learning, reinforcement learning.

Many aspects of probabilistic modelling, identity uncertainty, expressive probability models.

Graphical models, variational methods, machine learning, reasoning under uncertainty.

Home site for the Russell and Norvig textbook on AI.

Research papers and software on statistical approaches to perceptual organization in low and mid-level vision. Quantitative analysis of spatial gene expression patterns in biological development.

Contains description of research projects on segmentation, shape, object recognition, statistics of natural images, and human motion analysis. Publications, software and course materials are available for download.

Computer Science Division

University of California, Berkeley - Theoretical computer science, graph theory, cryptography