The research community has witnessed a large interest in monitoring large scale distributed systems. In these applications typically we wish to monitor a global system condition wh...
Ali Abbasi, Ahmad Khonsari, Mohammad Sadegh Talebi
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Applications for constrained embedded systems are subject to strict time constraints and restrictive resource utilization. With soft core processors, application developers can cu...
Shobana Padmanabhan, Ron K. Cytron, Roger D. Chamb...
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...