Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
The original Parameter-Less Self-Organising Map (PLSOM) algorithm was introduced as a solution to the problems the Self-Organising Map (SOM) encounters when dealing with certain ty...
Various cryptosystems exploit exhaustive techniques to search, missing-the-mark, key space. Such search techniques should be guided in order to be computationally adequate. Here, ...
Hasan Mohammed Hasan Husein, Bayoumi I. Bayoumi, F...
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...