We present a new method of magnification for textured images featuring scale invariance properties. The procedure preserves the visual aspect as well as the statistical properties...
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee,...
We propose a software requirements analysis method based on domain ontology technique, where we can establish a mapping between a software requirements specification and the doma...
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Cache prediction for preemptive scheduling is an open issue despite its practical importance. First analysis approaches use simplified models for cache behavior or they assume si...