—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
† In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignment using Search Technique (PFAST), for scheduling parallel programs represented by direc...
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
As an important attribute directly influencing the steganographic scheme, the embedding efficiency is defined as the average number of random data bits per one embedding change...
— We consider feed-forward packet switched networks with fixed routing and random congestion losses. Users of the network are assumed to be greedy in the sense that each user in...