AbstractA target moves according to a continuous stochastic process in Euclidean RH. A search is conducted by choosing a search strategy and by observing the state of a detection process. Methods for representing the posterior distributions for target location given no detection are discussed. In particular, methods for parameterizing Gaussian models for target motion and the transition intensity of the detection process which yield tractable representations are introduced. The methodology is discussed in terms of two examples
It is often necessary, in scientific or everyday life problems, to find a randomly hidden target. Wh...
In range-based localization, the trajectory of a mobile object is estimated based on noisy range mea...
<p>Bayesian nonparametric models, such as the Gaussian process and the Dirichlet process, have been ...
The detection search problem is the identification of search paths for a specified time interval [0,...
This thesis considers the problem of modeling search for a single, non-moving target in a continuous...
AbstractA search for a target whose motion is a diffusion process in a plane is considered. Let Et d...
AbstractThis paper addresses the problem of searching for a target in the plane given only an initia...
Among the algorithms developed towards the goal of robust and efficient tracking, two approaches whi...
One of the major developments in the theory of visual search is the establishment of a performance m...
When a target has an apriori existence in an area A and a fraction phi of the area is searched, the...
Abstract — This paper studies the problem of searching for an unknown moving target in a bounded two...
The most fundamental problem encountered in the field of stochastic optimization, is the Stochastic R...
Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the ...
This paper formulates a novel quartile coordinated search technique that finds a 3-D randomly locate...
AbstractA target, whose initial position is unknown, is performing a random walk on the integers. A ...
It is often necessary, in scientific or everyday life problems, to find a randomly hidden target. Wh...
In range-based localization, the trajectory of a mobile object is estimated based on noisy range mea...
<p>Bayesian nonparametric models, such as the Gaussian process and the Dirichlet process, have been ...
The detection search problem is the identification of search paths for a specified time interval [0,...
This thesis considers the problem of modeling search for a single, non-moving target in a continuous...
AbstractA search for a target whose motion is a diffusion process in a plane is considered. Let Et d...
AbstractThis paper addresses the problem of searching for a target in the plane given only an initia...
Among the algorithms developed towards the goal of robust and efficient tracking, two approaches whi...
One of the major developments in the theory of visual search is the establishment of a performance m...
When a target has an apriori existence in an area A and a fraction phi of the area is searched, the...
Abstract — This paper studies the problem of searching for an unknown moving target in a bounded two...
The most fundamental problem encountered in the field of stochastic optimization, is the Stochastic R...
Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the ...
This paper formulates a novel quartile coordinated search technique that finds a 3-D randomly locate...
AbstractA target, whose initial position is unknown, is performing a random walk on the integers. A ...
It is often necessary, in scientific or everyday life problems, to find a randomly hidden target. Wh...
In range-based localization, the trajectory of a mobile object is estimated based on noisy range mea...
<p>Bayesian nonparametric models, such as the Gaussian process and the Dirichlet process, have been ...