Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
The idea of representing knowledge in formal models gets more and more popular. Since these models are understandable and thus processable by machines, the retrieval of knowledge i...
In this paper we report early findings from a sample of Australian participants using Nokia’s Lifeblog software on mobile phones to record aspects of living and learning in both...
We explore the near-synonym lexical choice problem using a novel representation of near-synonyms and their contexts in the latent semantic space. In contrast to traditional latent...