We develop a neural network formulation for multi-vehicle navigation on a twodimensional surface. here. A time-linking map is generated for each individual vehicle using techniques similar to the known shortest path a...
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The problem of tracking multiple targets in the presence of displacement noise and clutter is formulated as a nonconvex optimization problem. The form of the suggested cost function is shown to be suitable for the Gra...
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A two vehicle navigator on a descrete space is analyzed. The concept of linking time maps as source to optimal path planning is discussed. The rules for constructing these map are given in a cellular automata mode. Th...
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We develop a neural network formulation for multi-vehicle navigation on a two-dimensional surface, here. A time-linking map is generated for each individual vehicle using techniques similar to the known shortest path ...
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An approach to distributed memory parallel programming that has recently become popular is one where the programmer explicitly specifies the data decomposition using language extensions, and a, compiler generates all ...
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A new approach to clustering based on statistical physics is presented. The problem is formulated as fuzzy clustering and the association probability distribution is obtained by maximizing the entropy at a given avera...
A new approach to clustering based on statistical physics is presented. The problem is formulated as fuzzy clustering and the association probability distribution is obtained by maximizing the entropy at a given average variance. The corresponding Lagrange multiplier is related to the ‘‘temperature’’ and motivates a deterministic annealing process where the free energy is minimized at each temperature. Critical temperatures are derived for phase transitions when existing clusters split. It is a hierarchical clustering estimating the most probable cluster parameters at various average variances.
The problem of tracking multiple targets in the presence of displacement noise and clutter is formulated as a nonconvex optimisation problem. The form of the suggested cost function is shown to be suitable for the gra...
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The problem of tracking multiple targets in the presence of displacement noise and clutter is formulated as a nonconvex optimisation problem. The form of the suggested cost function is shown to be suitable for the graduated nonconvexity algorithm, which can be viewed as deterministic annealing. The method is first derived for the two-dimensional (spatial/temporal) case, and then generalized to the multidimensional case. The complexity grows linearly with the number of targets. Computer simulations show the performance with crossing trajectories.< >
A two vehicle navigator on a discrete space is analyzed. The concept of linking time maps as source to optimal path planning is discussed. The rules for constructing these maps are given in a cellular automata mode. T...
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A two vehicle navigator on a discrete space is analyzed. The concept of linking time maps as source to optimal path planning is discussed. The rules for constructing these maps are given in a cellular automata mode. The implementation of these rules on a parallel computer is presented.< >
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