— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
With proliferation of ubiquitous computing, digital access is facing an increasing risk since unauthorized client located at any place may intrude a local server. Location Based Ac...
In this paper, we investigate the problem of designing a switching compensator for a plant switching amongst a (finite) family of given configurations (Ai,Bi,Ci). We assume that...
Instruction set extensions (ISEs) can accelerate embedded processor performance. Many algorithms for ISE generation have shown good potential; some of them have recently been expa...
Theo Kluter, Philip Brisk, Paolo Ienne, Edoardo Ch...