We consider random approximations to deterministic optimization problems. The objective function and the constraint set can be approximated simultaneously. Relying on concentratio...
The paper makes a short presentation of three existing methods for estimation of orientation tensors, the so-called structure tensor, quadrature filter based techniques, and techn...
Abstract-- In this paper, we investigate a cooperative estimation problem for visual sensor networks based on multiagent optimization techniques. A passivity-based visual motion ob...
Takeshi Hatanaka, Masayuki Fujita, Francesco Bullo
A random variable with distribution P is observed in Gaussian noise and is estimated by a minimum meansquare estimator that assumes that the distribution is Q. This paper shows tha...
We investigate power estimation on a random noise from measurements taken by one-bit quantizers, with an efficacy assessed by the Fisher information. In isolated quantizers, an op...