This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global se

<空间谱估计理论与算法> 信号源个数估计 AIC MDL HQ 算法-spatial spectrum estimation source number estimation AIC MDL HQ

该程序基于2D特征点的移动轨迹,估计独立运动的对象数目.-Given 2D trajectories of feature points moving in the image frame, this program estimates the number of independent motions using model selection by the geometric AIC (default) or the geometric MDL (option) based