— We consider comparison of Mutual Information (MI)-Energy tradeoff in correlated wireless sensor network (WSN) for cooperative multiple input and multiple output (MIMO) and non-...
In this work we show that entropy (H) and mutual information (MI) can be used as methods for extracting spatially localized features for classification purposes. In order to incre...
Liang Wu, Predrag Neskovic, Etienne Reyes, Elena F...
In this paper, a novel spatial feature, namely maximum distance-gradient-magnitude (MDGM), is defined for registration tasks. For each voxel in an image, the MDGM feature encodes s...
A theme of recent side-channel research has been the quest for distinguishers which remain eective even when few assumptions can be made about the underlying distribution of the m...
Research presented in this paper deals with the systematic examination, development, and evaluation of a novel multimodal registration approach that can perform accurately and rob...