Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
We propose a novel distinguishing attack on the shrinking generator with known feedback polynomial for the generating LFSR. The attack can e.g. reliably distinguish a shrinking gen...
Quantized frame expansions are proposed as a method for generalized multiple description coding, where each quantized coe cient is a description. Whereas previous investigations h...
Recent superscalar processors issue four instructions per cycle. These processors are also powered by highly-parallel superscalar cores. The potential performance can only be expl...
Thomas M. Conte, Kishore N. Menezes, Patrick M. Mi...