The demands in terms of processing performance, communication bandwidth and real-time throughput of many multimedia applications are much higher than today's processing archi...
Jeroen A. J. Leijten, Jef L. van Meerbergen, Adwin...
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
In this paper, we present two efficient algorithms computing scalar multiplications of a point in an elliptic curve defined over a small finite field, the Frobenius map of which ha...
Jung Hee Cheon, Sung-Mo Park, Sangwoo Park, Daeho ...
We consider strings which are succinctly described. The description is in terms of straight-line programs in which the constants are symbols and the only operation is the concaten...