Representing and Reasoning about time and change is one of the primary issues in the area of Artificial Intelligence (AI) and Knowledge Representation (KR). Despite the importance...
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
This paper extends the idea of classification schemes for static surface curvature into the temporal domain. We seek to identify regions in sequences of depth data that exhibit va...
Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes...
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...