This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
In this work, we quantitatively investigate the ways in which a given person influences the joint turn-taking behavior in a conversation. After collecting an auditory database of ...
This paper describes a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete mo...
Naveed Ahmed, Christian Theobalt, Petar Dobrev, Ha...
The performance of a multihop wireless network is typically affected by the interference caused by transmissions in the same network. In a statistical fading environment, the inte...
In this paper, we propose how the parameter distributions of multilinear geometric entities can be dualised. The dualisation concern, for example, the parameter distributions of c...