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Eduard C. Dragut, Clement T. Yu, A. Prasad Sistla,...
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...