In [I], a method was given for optimal Hankel-norm approximation with frequency weighting. In a broad sense, this method stands in the same relation to frequency-weighted balanced approximation [2] as unweighted optimal Hankel-norm approximation stands in relation to unweighted balanced approximation, see, e.g. [3]. No bounds were given in [I] on the frequency-domain error associated with frequ...

The frequency dependence of RF signals backscattered from random media (tissues) has been used to describe the microstructure of the media. The frequency dependence of the backscattered RF signal is seen in the power spectrum. Estimates of scatterer properties (average scatterer size) from an interrogated medium are made by minimizing the average squared deviation (MASD) between the measured po...

Abstract: Weighting the p-values is a well-established strategy that improves the power of multiple testing procedures while dealing with heterogeneous data. However, how to achieve this task in an optimal way is rarely considered in the literature. This paper contributes to fill the gap in the case of group-structured null hypotheses, by introducing a new class of procedures named ADDOW (for A...

In most contemporary approaches to pattern discovery in graphs, either quantitative anomalies or frequency of substructure is used to measure the relevance of a pattern. In this thesis, we address the issue of discovering informative subgraphs within RDF graphs. In the context of Semantic Search, relevance of such subgraphs depends on the amount of useful information conveyed to a user. This in...

In his position paper, Theeuwes (2010) makes a challenge to a number of current theories of visual selective attention, which assume that what we select in the first instance is not simply bottom-up driven by properties of the stimulus, but also influenced (at least to some extent) by internal system settings that are under top-down control. In essence, Theeuwes (2010) puts forward a strong sti...

Social Deprivation and Exclusion of Immigrants in Germany This paper aims at providing empirical evidence on social exclusion of immigrants in Germany. We demonstrate that when using a conventional definition of the social inclusion index typically applied in the literature, immigrants appear to experience a significant degree of social deprivation and exclusion, confirming much of the economic...

Web page clustering can help in the evaluation and search of the results of search engines, among other things. The different term weighting functions applied to the selected features to represent web pages is a main aspect in clustering task. In this paper, seven different term weighting functions are evaluated by means of the results of a partitioning clustering algorithm, with a reference we...