The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
— Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot’s immediate surroundings for obstacle avoidance and p...
David C. Moore, Albert S. Huang, Matthew Walter, E...
Recent advances in Dynamic Power Management (DPM) techniques have resulted in designs that support a rich set of power management options, both at the hardware and software levels...
Shrirang M. Yardi, Karthik Channakeshava, Michael ...
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
Abstract. The open and dynamic nature of modern distributed systems and pervasive environments presents significant challenges to security management. One solution may be trust ma...