In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
We propose a new metric for evaluation of interconnect architectures. This metric is computed by optimal assignment of wires from a given wire length distribution (WLD) to a given...
Parthasarathi Dasgupta, Andrew B. Kahng, Swamy Mud...
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
—Energy-efficiency is becoming one of the most critical issues in embedded system design. In Network-on-Chip (NoC) based heterogeneous Multiprocessor Systems, the energy consump...
Jia Huang, Christian Buckl, Andreas Raabe, Alois K...
—Optical flow algorithms are difficult to apply to robotic vision applications in practice because of their extremely high computational and frame rate requirements. In most case...