Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Nowadays, concurrency control for XML data is a big research problem. There are a number of researchers working on this problem, but most of the proposed methods are based on the ...
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
We propose ‘Trace View’, a static visualization method for monitoringand debugging the dynamic behavior of programs written in data flow visual programming languages. Trace V...