In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
Abstract - In this paper, we discuss hardware acceleration for real-time physical modeling that would allow for realistic virtual environments. Additionally, we propose algorithms ...
Benjamin Bishop, Thomas P. Kelliher, Mary Jane Irw...
In this paper we consider real-time concurrency control for the nested transaction model. We analyze problems that have pure optimistic and pessimistic approaches. As the solution...
This paper presents a context sensitive spell checking system that uses mixed trigram models, and introduces a new empirically grounded method for building confusion sets. The pro...
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....