Video-based face clustering is a very important issue in face analysis. In this paper, a framework for video-based face clustering is proposed. The framework contains two steps. First, faces are detected from videos a...
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Skin color detection plays an important role in video based applications. Without considering the selection of suitable color space, a novel skin color detection method is proposed based on the flexible neural tree, w...
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We discuss the problem of object classification in cross-view traffic scene surveillance videos in this paper. To classify moving objects in traffic scene videos into pedestrian, bicycle and variety of vehicles, an ef...
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Efficient face encoding is an important issue in the area of face recognition. Compared to holistic features, local features have received increasing attention due to their good robustness to pose and illumination cha...
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Parameters selection of support vector machine is the key issue that impacts its accurate performance. A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is propo...
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This paper proposed a H∞ based controller design method for MIMO system. We use the bound real lemma to design the controller when the reference model is given. The BMI (Bi-linear Matrix Inequality) problem is turned...
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The H approach is used for the clearance of flight control laws when some parameters in the flight control system vary in a certain range. The proposed H approach is developed from general H theory and is applied to t...
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In this paper, we present an online ascent phase trajectory reconstruction algorithm using Gauss Pseudospectral Method. Gauss Pseudospectral Method (GPM) was used to transform the ascent phase trajectory optimization ...
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In this paper, an optimal guidance algorithm is proposed for atmospheric *** optimal guidance algorithm updates the reference trajectory to deal with the impact of disturbance by solving an optimal control problem ***...
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ISBN:
(纸本)9781467315241
In this paper, an optimal guidance algorithm is proposed for atmospheric *** optimal guidance algorithm updates the reference trajectory to deal with the impact of disturbance by solving an optimal control problem *** the strong nonlinear ascent dynamic, the optimal control problem is transformed into nonlinear programming problem by trajectory *** direct optimization method is implemented for this nonlinear programming *** a segment of the reference trajectory is updated by the optimal guidance *** to the small amount of the discrete nodes and the initial guess solution which is close to the optimization solution, the direct optimization method is fast enough to generate a new reference *** simulation for the Generic Hypersonic Vehicle model and scramjet engine is done for different cases of the aerodynamic coefficient *** results show the accuracy and the effectiveness of this optimal guidance algorithm.
Parameters selection of support vector machine is the key issue that impacts its accurate performance.A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is propos...
详细信息
ISBN:
(纸本)9781467315241
Parameters selection of support vector machine is the key issue that impacts its accurate performance.A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is proposed in this ***, in order to improve the performance of the SPSO algorithm, the concept of the particles’ average distance and fitness variance is proposed to make the efficiency of algorithm ***, the improve algorithm was also applied in this *** two different models using SPSO and IPSO respectively were used to forecast the density of the acid-lead battery *** experimental results indicate that both SPSO and IPSO have high prediction accuracy and *** time of the parametric searching by IPSO is obviously decreased to that of *** mean squared error (MSE) of the prediction model using SPSO is about 2.02056×10-4, Meanwhile, the MSE of the model using IPSO is only about 1.9324×***, the IPSO algorithm has more superior performance on convergence speed and global optimization.
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