The problem of automatic classification of scientific texts is considered. Methods based on statistical analysis of probabilistic distributions of scientific terms in texts are dis...
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
—We investigate the p-percent coverage problem in this paper and propose two algorithms to prolong network lifetime based on the fact that for some applications full coverage is ...
In this paper, a new watermarking scheme in the joint timefrequency domain is introduced. Wigner distribution is used to transform an image into the spatial-spectral domain. The p...
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...