Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
We present a model to estimate motion from monocular visual and inertial measurements. We analyze the model and characterize the conditions under which its state is observable, an...
Growing transistor counts, limited power budgets, and the breakdown of voltage scaling are currently conspiring to create a utilization wall that limits the fraction of a chip tha...
Ganesh Venkatesh, Jack Sampson, Nathan Goulding, S...
Power minimization is a serious issue in wireless sensor networks to extend the lifetime and minimize costs. However, in order to gain an accurate understanding of issues regardin...
We present some quantitative performance measurements for the computing power of Programmable Active Memories (PAM), as introduced by [2]. Based on Field Programmable Gate Array (...