We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Synchronous collaborative environments can provide an identical visual and operable working area among geographically separated participants. There are two basic approaches for pro...
Abdulmotaleb El-Saddik, Dongsheng Yang, Nicolas D....
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
A combined control of multimedia quality level, mobility and allocation of network resources is essential for the success of next generation mobile networks. In this context, this ...
Eduardo Cerqueira, Luis Veloso, Augusto Neto, Mari...
We improve the resistance of gossip-based multicast to (Distributed) Denial of Service (DoS) attacks using dynamic local adaptations at each node. Each node estimates the current ...