The paper presents an iterative bidirectional clustering of adjectives and nouns based on a cooccurrence matrix. The clustering method combines a Vector Space Models (VSM) and the results of a Latent Dirichlet Allocation (LDA), whose results are merged in each iterative step. The aim is to derive a clustering of German adjectives that reflects latent semantic classes of adjectives, and that can...

In recent years, a great deal of attention has been devoted to iterative control as an efficient methodology for the design of highly-performing controllers. In this paper, we propose a new iterative scheme which explicitly accounts for the presence of uncertainty. At each step, the designed controller is the best possible one relative to the existing level of uncertainty and uncertainty is red...

A speckle reduction method for synthetic aperture radar (SAR) images is presented here. This method can be considered as a first step for the extraction of other important information. The second one is the detection of high reflectance regions which yields an important step to continue the segmentation of the total image. We have worked in 3-look simulated and real ERS-1 amplitude images. The ...

The purpose of this paper is to study a strong convergence of multi-step iterative scheme to a common solution for a finite family of strongly accretive operator equations in a reflexive Banach space with weakly continuous duality map. As a consequence, the strong convergence theorem for the multi-step iterative sequence to a common fixed point for finite family of strongly pseudocontractive ma...

This paper consists of three parts. First, with a slightlydifferent, yet, more physically-plausible, discrete supply-rate (i.e. power), we propose a non-iterative (i.e. fast) and variablestep numerical integration algorithm for (scalar) discrete-passive mechanical systems, consisting of constant mass and damper, and a certain class of nonlinear spring. In the second part, we propose a fast pass...