We present the concept of hierarchical instantiation for radiosity. This new method enables an efficient, yet accurate determination of the illumination in very large scenes, wher...
A significant challenge in developing planning systems for practical applications is the difficulty of acquiring the domain knowledge needed by such systems. One method for acquir...
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Services for locating mobile objects are often organized as a distributed search tree. The advantage of such an organization is that the service can easily scale as a distributed ...
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...