A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
: The performance of hardware-based interactive rendering systems is often constrained by polygon fill rates and texture map capacity, rather than polygon count alone. We present a...
Reynald Dumont, Fabio Pellacini, James A. Ferwerda
Our goal is to make vehicle teleoperation accessible to all users. To do this, we are developing easy-to-use yet capable Web tools which enable efficient, robust teleoperation in...
In this work we show that value prediction can be used to avoid the penalty of long wire delays by predicting the data that is communicated through these long wires and validating...