This paper combines an adaptive supply-voltage scheme with self-timed CMOS digital design, to achieve low power performance. The supply-voltage automatically tracks the input data...
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
We discuss dynamic parameter tuning in wide-area data transfers for efficient utilization of available network capacity and optimized end-to-end application performance. Impacts ...
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...