Abstract— This paper reports on our efforts to link an industrial state-of-the-art modelling tool to academic state-of-the-art analysis algorithms. In a nutshell, we enable timed...
Recently, in both the neuroscience and adaptive behaviour communities, there has been growing interest in the interplay of multiple timescales within neural systems. In particular,...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
In this paper we propose to define a measure of visual similarity to compare different pages in a corpus. This measure is based on the analysis of the visual layout saliency of th...
The availability of large music collections calls for ways to efficiently access and explore them. We present a new approach which combines descriptors derived from audio analysi...