Hybrid system modeling refers to the construction of system models combining both continuous and discrete dynamics. These models can greatly reduce the complexity of a phystem mod...
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Although researchers have studied which factors influence the behavior of traditional search algorithms, currently not much is known about how domain properties influence the perf...
Memory corruption is one of the most common software failures. For sequential software and multitasking software with synchronized data accesses, it has been shown that program fa...
Daniel Sundmark, Anders Pettersson, Christer Sandb...
Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on impro...