This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
This paper presents an algorithm for solving a number of generalized graph coloring problems. Specifically, it gives an agent-based algorithm for the Bandwidth Coloring problem. U...
Abstract. We address the problem of term normalisation modulo associativecommutative (AC) theories, and describe several techniques for compiling many-to-one AC matching and reduce...
Various feature descriptions are being employed in constrained-based grammar formalisms. The common notational primitive of these descriptions are functional attributes called fea...