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A generalized eigenproblem is formed and its normalizations are presented and discussed. Then a unified consideration of the computation of the sensitivity and Hessian matrix is studied for both the self-adjoint and non-self-adjoint cases. In the self-adjoint case, a direct algebraic method is presented to determine the eigensolution derivatives simultaneously by solving a linear system with a symmetric...
Particle swarm optimization (PSO) and genetic algorithms (GAs) are two kinds of widely used evolutionary compution techniques. In this paper, a particle swarm optimizer is implemented and compared to a genetic algorithm for the object localization problem. The problem of object localization can be formulated into an integer nonlinear optimization problem (INOP). We respectively expand the basic PSO...
This paper describes a new object detection approach using particle swarm optimization (PSO). The approach is based on the idea that the task of finding a well-matched subwindow (object) can be formulated as an integer nonlinear optimization problem (INOP). We use PSO to solve this formulated INOP. Experiments in the domain of face detection are presented and the results show the effectiveness of...
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