We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed...
This paper presents a method for the reconstruction of a regularlysampled image from its irregularly-spaced samples. Such reconstruction is often needed in image processing and co...