Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...
Woosung Yang, Nak Young Chong, ChangHwan Kim, Bum-...
The Dynamic Host Configuration Protocol (DHCP) is a widely used communication protocol. In this paper, a portion of the protocol is chosen for modeling and verification, namely th...
We present a novel technique for the animation of turbulent fluids by coupling a procedural turbulence model with a numerical fluid solver to introduce subgrid-scale flow detail. ...
Rahul Narain, Jason Sewall, Mark Carlson, Ming C. ...
Emulation sits between simulation and experimentation to complete the set of tools available for software designers to evaluate their software and predict behavior under condition...