Multi-FPGA systems (MFS's) represent a promising technology for various applications, such as the implementation of supercomputers and parallel and computational intensive emu...
Alessandro Panella, Marco D. Santambrogio, Frances...
A dynamic layer representation is proposed in this paper for tracking moving objects. Previous work on layered representations has largely concentrated on two-/multiframe batch fo...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Originally developed to connect processors and memories in multicomputers, prior research and design of interconnection networks have focused largely on performance. As these netw...