A modification of evolutionary programming or evolution strategies for ndimensional global optimization is proposed. Based on the ergodicity and inherentrandomness of chaos, the main characteristic of the new algorith...A modification of evolutionary programming or evolution strategies for ndimensional global optimization is proposed. Based on the ergodicity and inherentrandomness of chaos, the main characteristic of the new algorithm which includes two phases is that chaotic behavior is exploited to conduct a rough search of the problem space in order to find the promising individuals in Phase I. Adjustment strategy of steplength and intensive searches in Phase II are employed. The population sequences generated by the algorithm asymptotically converge to global optimal solutions with probability one. The proposed algorithm is applied to several typical test problems. Numerical results illustrate that this algorithm can more efficiently solve complex global optimization problems than evolutionary programming and evolution strategies in most cases.展开更多
The dynamic input output model is well known in economic theory and practice.In this paper,the asymptotic stability and balanced growth solutions of the dynamic input output system are considered.Under some natural ...The dynamic input output model is well known in economic theory and practice.In this paper,the asymptotic stability and balanced growth solutions of the dynamic input output system are considered.Under some natural assumptions which do not require the technical coefficient matrix to be indecomposable,it has been proved that the dynamic input output system is not asymptotically stable and the closed dynamic input output model has a balanced growth solution.展开更多
This paper focuses on the problem of adaptive blind source separation (BSS). First, a recursive least-squares (RLS) whitening algorithm is proposed. By combining it with a natural gradient-based RLS algorithm for nonl...This paper focuses on the problem of adaptive blind source separation (BSS). First, a recursive least-squares (RLS) whitening algorithm is proposed. By combining it with a natural gradient-based RLS algorithm for nonlinear principle component analysis (PCA), and using reasonable approximations, a novel RLS algorithm which can achieve BSS without additional pre-whitening of the observed mixtures is obtained. Analyses of the equilibrium points show that both of the RLS whitening algorithm and the natural gradient-based RLS algorithm for BSS have the desired convergence properties. It is also proved that the combined new RLS algorithm for BSS is equivariant and has the property of keeping the separating matrix from becoming singular. Finally, the effectiveness of the proposed algorithm is verified by extensive simulation results.展开更多
A reasonable transition rule is proposed for synchronized actions and someequational properties of bisimilarity and weak bisimilarity in the process algebra for reasoningabout concurrent actions are presented.
This paper describes a novel method for tracking complex non-rigid motions bylearning the intrinsic object structure. The approach builds on and extends the studies onnon-linear dimensionality reduction for object rep...This paper describes a novel method for tracking complex non-rigid motions bylearning the intrinsic object structure. The approach builds on and extends the studies onnon-linear dimensionality reduction for object representation, object dynamics modeling and particlefilter style tracking. First, the dimensionality reduction and density estimation algorithm isderived for unsupervised learning of object intrinsic representation, and the obtained non-rigidpart of object state reduces even to 2-3 dimensions. Secondly the dynamical model is derived andtrained based on this intrinsic representation. Thirdly the learned intrinsic object structure isintegrated into a particle filter style tracker. It is shown that this intrinsic objectrepresentation has some interesting properties and based on which the newly derived dynamical modelmakes particle filter style tracker more robust and reliable. Extensive experiments are done on thetracking of challenging non-rigid motions such as fish twisting with self-occlusion, largeinter-frame lip motion and facial expressions with global head rotation. Quantitative results aregiven to make comparisons between the newly proposed tracker and the existing tracker. The proposedmethod also has the potential to solve other type of tracking problems.展开更多
In this paper,an effective and robust active speech detection method is proposed based on the 1/f process technique for signals under non-stationary noisy environments.The Gaussian 1/f process ,a mathematical model fo...In this paper,an effective and robust active speech detection method is proposed based on the 1/f process technique for signals under non-stationary noisy environments.The Gaussian 1/f process ,a mathematical model for statistically self-similar radom processes based on fractals,is selected to model the speech and the background noise.An optimal Bayesian two-class classifier is developed to discriminate them by their 1/f wavelet coefficients with Karhunen-Loeve-type properties.Multiple templates are trained for the speech signal,and the parameters of the background noise can be dynamically adapted in runtime to model the variation of both the speech and the noise.In our experiments,a 10-minute long speech with different types of noises ranging from 20dB to 5dB is tested using this new detection method.A high performance with over 90% detection accuracy is achieved when average SNR is about 10dB.展开更多
文摘A modification of evolutionary programming or evolution strategies for ndimensional global optimization is proposed. Based on the ergodicity and inherentrandomness of chaos, the main characteristic of the new algorithm which includes two phases is that chaotic behavior is exploited to conduct a rough search of the problem space in order to find the promising individuals in Phase I. Adjustment strategy of steplength and intensive searches in Phase II are employed. The population sequences generated by the algorithm asymptotically converge to global optimal solutions with probability one. The proposed algorithm is applied to several typical test problems. Numerical results illustrate that this algorithm can more efficiently solve complex global optimization problems than evolutionary programming and evolution strategies in most cases.
文摘The dynamic input output model is well known in economic theory and practice.In this paper,the asymptotic stability and balanced growth solutions of the dynamic input output system are considered.Under some natural assumptions which do not require the technical coefficient matrix to be indecomposable,it has been proved that the dynamic input output system is not asymptotically stable and the closed dynamic input output model has a balanced growth solution.
文摘This paper focuses on the problem of adaptive blind source separation (BSS). First, a recursive least-squares (RLS) whitening algorithm is proposed. By combining it with a natural gradient-based RLS algorithm for nonlinear principle component analysis (PCA), and using reasonable approximations, a novel RLS algorithm which can achieve BSS without additional pre-whitening of the observed mixtures is obtained. Analyses of the equilibrium points show that both of the RLS whitening algorithm and the natural gradient-based RLS algorithm for BSS have the desired convergence properties. It is also proved that the combined new RLS algorithm for BSS is equivariant and has the property of keeping the separating matrix from becoming singular. Finally, the effectiveness of the proposed algorithm is verified by extensive simulation results.
文摘A reasonable transition rule is proposed for synchronized actions and someequational properties of bisimilarity and weak bisimilarity in the process algebra for reasoningabout concurrent actions are presented.
文摘This paper describes a novel method for tracking complex non-rigid motions bylearning the intrinsic object structure. The approach builds on and extends the studies onnon-linear dimensionality reduction for object representation, object dynamics modeling and particlefilter style tracking. First, the dimensionality reduction and density estimation algorithm isderived for unsupervised learning of object intrinsic representation, and the obtained non-rigidpart of object state reduces even to 2-3 dimensions. Secondly the dynamical model is derived andtrained based on this intrinsic representation. Thirdly the learned intrinsic object structure isintegrated into a particle filter style tracker. It is shown that this intrinsic objectrepresentation has some interesting properties and based on which the newly derived dynamical modelmakes particle filter style tracker more robust and reliable. Extensive experiments are done on thetracking of challenging non-rigid motions such as fish twisting with self-occlusion, largeinter-frame lip motion and facial expressions with global head rotation. Quantitative results aregiven to make comparisons between the newly proposed tracker and the existing tracker. The proposedmethod also has the potential to solve other type of tracking problems.
文摘In this paper,an effective and robust active speech detection method is proposed based on the 1/f process technique for signals under non-stationary noisy environments.The Gaussian 1/f process ,a mathematical model for statistically self-similar radom processes based on fractals,is selected to model the speech and the background noise.An optimal Bayesian two-class classifier is developed to discriminate them by their 1/f wavelet coefficients with Karhunen-Loeve-type properties.Multiple templates are trained for the speech signal,and the parameters of the background noise can be dynamically adapted in runtime to model the variation of both the speech and the noise.In our experiments,a 10-minute long speech with different types of noises ranging from 20dB to 5dB is tested using this new detection method.A high performance with over 90% detection accuracy is achieved when average SNR is about 10dB.
