-- This paper presents a novel global routing algorithm, AT-PO-GR, to minimize the routing area under both congestion, timing, and RLC crosstalk constraints. The proposed algorithm...
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
The Perspective-N-Point problem (PNP) is a notable problem in computer vision. It consists in, given N points known in an object coordinate space and their projection onto the ima...
: Since the era of vector and pipelined computing, the computational speed is limited by the memory access time. Faster caches and more cache levels are used to bridge the growing ...