Abstract. This paper introduces ThreadMill - a distributed and parallel component architecture for applications that process large volumes of streamed (time-sequenced) data, such a...
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...
Abstract— In this paper we consider the problem of reconstructing a curve that is partially hidden or corrupted by minimizing the functional R √ 1 + K2 ds, depending both on le...
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...