When processing massive data sets, a core task is to construct synopses of the data. To be
useful, a synopsis data structure should be easy to construct while also yielding good …

We initiate the study of graph sketching, ie, algorithms that use a limited number of linear
measurements of a graph to determine the properties of the graph. While a graph on n nodes is …

Pure neuronal and mixed neuronal-glial tumors of the central nervous system are uncommon
but fascinating because they are less aggressive than the more common glial tumors and …

Previous studies have shown an association between late-onset depression (LOD) and
cognitive impairment in older adults. However, the neural correlates of this relationship are not …

In this paper we study linear-programming based approaches to the maximum matching
problem in the semi-streaming model. In this model edges are presented sequentially, possibly …

Analyzing massive data sets has been one of the key motivations for studying streaming
algorithms. In recent years, there has been significant progress in analysing distributions in a …

Introduction The aim of this study was to examine whether the patterns of diffusion-weighted
imaging (DWI) abnormalities and quantitative regional apparent diffusion coefficient (ADC) …

Background Dilated perivascular spaces (dPVS) are associated with aging and various
disorders; however, the effect of age on dPVS burden in young populations and normative data …

In this article, we consider graph algorithms in models of computation where the space usage
(random accessible storage, in addition to the read-only input) is sublinear in the number …

CT and MRI are utilized to differentiate between different types of masses and to determine
the extent of lesions involving the lacrimal gland and the fossa. Although many diseases that …