Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
— Processing the gathered information efficiently is a key functionality for wireless sensor networks. In this article, we study the time complexity, message complexity (number ...
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
Abstract. To select an optimal query evaluation strategy for a path query in an object-oriented database system one has to exploit the available index structures on the path. In a ...