We study a dissimilarity measure between shapes, expressed by the natural pseudodistance between size pairs, where a shape is viewed as a topological space endowed with a real-val...
We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by paying certain voters to change t...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
1 – In this paper, we propose a new class of branch predictors, complementary branch predictors, which can be easily added to any branch predictor to improve the overall predicti...
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
The scope of this paper is the estimation of subjective video quality for low-resolution video sequences as they are typical for mobile video streaming. Although the video quality ...