Abstract. As low-level architectural support for context-aware computing matures, we are ready to explore more general and powerful means of accessing context data. Information req...
Jeffrey Heer, Alan Newberger, Chris Beckmann, Jaso...
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
We consider the problem of maintaining a large matching and a small vertex cover in a dynamically changing graph. Each update to the graph is either an edge deletion or an edge in...
This paper introduces the Increasing Nvalue constraint, which restricts the number of distinct values assigned to a sequence of variables so that each variable in the sequence is l...
Nicolas Beldiceanu, Fabien Hermenier, Xavier Lorca...