We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
This paper presents some alternate theories for explaining the term ‘initiative’, as it is used in the design of mixed-initiative AI systems. Although there is now active resea...
Robin Cohen, Coralee Allaby, Christian Cumbaa, Mar...
Let G = (V, E) be an undirected graph. Let C be a subset of vertices that we shall call a code. For any vertex v V , the neighbouring set N(v, C) is the set of vertices of C at d...
We consider a new kind of interpretation over relational structures: finite sets interpretations. Those interpretations are defined by weak monadic second-order (WMSO) formulas w...