This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
We present a novel, real-time disparity analysis frame work developed for immersive teleconferencing. This two-stage method computes a limited number of highly reliable disparitie...
Oliver Schreer, Serap Askar, Nicole Brandenburg, P...
This paper presents a new constraint connecting the signals in multiple views of a surface. The constraint arises from a harmonic analysis of the geometry of the imaging process a...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
For many safety-critical systems a safety case is built as part of the certification or acceptance process. The safety case assembles evidence to justify that the design and imple...