This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple Subject, Attribute, Value , we propose...
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Abstract. This paper proposes a method to integrate multiple linearpushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar sc...
Abstract. In this paper it is described how a combination of polynomial interpretations, recursive path order, RFC match-bounds, the dependency pair method and semantic labelling c...
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...