The prediction of epileptic seizures is a very attractive issue for all patients suffering from epilepsy in EEG (electroencephalograph) signals. It can assist to develop an interve...
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...