The problem of optimal matrix partitioning for parallel linear algebra on p heterogeneous processors is typically reduced to the geometrical problem of partitioning a unit square ...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
A classical construction of stream ciphers is to combine several LFSRs and a highly non-linear Boolean function f. Their security is usually analysed in terms of correlation attack...
This paper presents a document image thresholding technique that binarizes badly illuminated document images by the photometric correction. Based on the observation that illuminat...