Iterative algorithm based on quantum tunneling is proposed by making use of mean-eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
We address a general representation problem for belief change, and describe two interrelated representations for iterative nonprioritized change: a logical representation in terms...
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...