In this article, we investigate the structure of Croatian linguistic co-occurrence networks. We examine the change of network structure properties by systematically varying the co-occurrence window sizes, the corpus sizes and removing stopwords. In a cooccurrence window of size n we establish a link between the current word and n − 1 subsequent words. The results point out that the increase of ...

We introduce the notion of iterated co-occurrences, which can be obtained by performing the calculation of statistically significant cooccurrences not on sentence level, but on co-occurrence sets of previous calculations. The underlying mechanisms are explained in detail and we give reasons, why this iteration results in sets of semantically homogeneous words. These can be used for the automati...

Several recent papers have described how lexical properties of words can be captured by simple measurements of which other words tend to occur close to them. At a practical level, word co-occurrence statistics are used to generate high dimensional vector space representations and appropriate distance metrics are defined on those spaces. The resulting co-occurrence vectors have been used to acco...

We show that the CO/CO intensity ratio in nearby galaxies varies systematically as a function of the star formation rate surface density (ΣSFR) and gas surface density. The same effect is observed in different transitions, and in the CO/CO ratio, while the CO/CO ratio appears to remain constant as a function of ΣSFR. We discuss the cause of these variations, considering both changes in the phys...

We define the notion of indifferent set with respect to a given class of {0, 1}-sequences. Roughly, for a set A in the class, a set of natural numbers I is indifferent for A with respect to the class if it does not matter how we change A at the positions in I: the new sequence continues to be in the given class. We are especially interested in studying those sets that are indifferent with respe...

Advances in nanotechnology have resulted in a variety of exciting new nanomaterials, such as nanotubes, nanosprings and suspended nanoparticles. Characterizing these materials is important for refining the manufacturing process as well as for determining their optimal application. The scale of the nanocomponents makes high-resolution imaging, such as electron microscopy, a preferred method for ...

An affiliation network consists of actors and events. Actors are affiliated with each other by virtue of the events they mutually attend. This article introduces a family of affiliation measures that captures the extent of actors‘ affiliations in the network. At one extreme, one might have an actor who attended many events, but none of these events were attended by any of the other actors in th...

In this paper we propose a technique for classifying images by modeling features extracted at diierent scales. Speciically, we use texture measures derived from Pap Smear cell nuclei images using a Grey Level Co-occurrence Matrix (GLCM). For a texture feature extracted from the GLCM at a number of distances we hypothesise that by modeling the feature as a continuous function of scale we can obt...

Recently, many approaches have been introduced by several researchers to identify plants. Now, applications of texture, shape, color and vein features are common practices. However, there are many possibilities of methods can be developed to improve the performance of such identification systems. Therefore, several experiments had been conducted in this research. As a result, a new novel approa...