Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...
In this paper, we propose a solution to adapt the differential point rendering technique developed by Kalaiah and Varshney to implicit surfaces. Differential point rendering was i...
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...