We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
In this paper, we investigate the use of discriminant techniques in the elastic graph matching (EGM) algorithm. First we use discriminant analysis in the feature vectors of the no...
Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pita...
Abstract— Recent results establish the optimality of interference alignment to approach the Shannon capacity of interference networks at high SNR. However, the extent to which in...
Krishna Srikanth Gomadam, Viveck R. Cadambe, Syed ...
The core of most registration algorithms aligns scan data by pairs, minimizing their relative distance. This local optimization must generally pass through a validation procedure t...
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...