We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Designing thermal management policies for today's power-dense server clusters is currently a challenge, since it is difficult to predict the exact temperature and performance...
This paper proposes an optimum methodology for assigning supply and threshold voltages to modules in a CMOS circuit such that the overall energy consumption is minimized for a giv...