We propose a framework for simple causal theories of action, and study the computational complexity in it of various reasoning tasks such as determinism, progression and regressio...
We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that funnels, i.e., geometric objects that partition the input space...
Michael T. Rosenstein, Andrew H. Fagg, Shichao Ou,...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
In this paper, an adaptive matrix multiplication algorithm for dynamic heterogeneous environments is developed and evaluated. Unlike the state-of-the-art approaches, where load ba...