In this paper we apply adaptive modeling methods in Hidden Semi-Markov Model (HSMM) based speech synthesis to the modeling of three different varieties, namely standard Austrian German, one Middle Bavarian (Upper Austria, Bad Goisern), and one South Bavarian (East Tyrol, Innervillgraten) dialect. We investigate different adaptation methods like dialectadaptive training and dialect clustering th...

String rewriting can not only be applied on strings, but also on cycles and even on general graphs. In this paper we investigate termination of string rewriting applied on cycles, shortly denoted as cycle rewriting, which is a strictly stronger requirement than termination on strings. Most techniques for proving termination of string rewriting fail for proving termination of cycle rewriting, bu...

Abstract We study families of faces for convex semi-algebraic sets via the normal cycle which is a set similar to conormal variety in projective duality theory. propose algebraic notion patch —a term recently coined by Ciripoi, Kaihnsa, Löhne, and Sturmfels as tool approximating hull set. discuss geometric consequences, both geometry faces, well variations our definition their consequences.

Our aim is to analyse the differences in the prevalence of premenstrual asthma (PMA) according to a set of criteria, the relationship between them and the influence of asthma severity. The answer "Yes" to "Does your asthma get worse before menstruation?" was considered subjective PMA. A daily respiratory symptoms register of fertile asthmatic females was taken during two consecutive menstrual c...

solar flare events of high importance were utilised to study solar latitudinal frequency distribution of the solar flares in northern and southern hemisphere for the solar cycle 22 to recent solar cycle 23. a statistical analysis was performed to obtain their relationship with sudden storm commencement (sscs) and forbush decrease events (fd) of cosmic ray intensity. an 11-year cyclic variation ...

A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the user, usually defined in terms of constraints, to guide the search of clusters. Learning effective metrics using constraints in high dimensional spaces remains an open challenge. This is because the number of paramete...

In this paper, an active learning method which can effectively select pairwise constraints during clustering procedure was presented. A novel semi-supervised text clustering algorithm was proposed, which employed an effective pairwise constraints selection method. As the samples on the fuzzy boundary are far away from the cluster center in the clustering procedure, they can be easily divided in...

Distributing papers into sessions in scientific conferences is a task consisting in grouping papers with common topics and considering the size restrictions imposed by the conference schedule. This problem can be seen as a semi-supervised clustering of scientific papers based on their features. This paper presents a web tool called ADoCS that solves the problem of configuring conference schedul...