Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Mobile ad-hoc networks (MANETs) present quite large packet loss bursts due to mobility. In this work we propose two models based on hidden Markov models for estimating packet arri...
Carlos Miguel Tavares Calafate, Pietro Manzoni, Ma...
In this work, we provide a technique for efficiently exploring the configuration space of a parameterized system-on-a-chip (SOC) architecture to find all Pareto-optimal configurat...
Increasing demand for power-efficient, high-performance computing requires tuning applications and/or the underlying hardware to improve the mapping between workload heterogeneity...