This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
In this paper we report the impact of the Random Waypoint model on infrastructure wireless networks that utilise multi-rate scheme. The Waypoint model causes a higher concentratio...
We propose a succinct randomized language model which employs a perfect hash function to encode fingerprints of n-grams and their associated probabilities, backoff weights, or oth...
— Recently, it has been shown that the max flow capacity can be achieved in a multicast network using network coding. In this paper, we propose and analyze a more realistic mode...
Salah A. Aly, Vishal Kapoor, Jie Meng, Andreas Kla...
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...