Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Bayesian reconstruction methods are slow and have been avoided in 3D ultrasound, since fast algorithms are required. This paper tries to overcome this difficulty by presenting a f...
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
This paper proposes a method of model-driven HW/SW co-design in embedded system design and discusses the key technology of model mapping, automatic generating codes and performanc...
This paper presents a compiler methodology for memoryaware mapping on 2-Dimensional coarse-grained reconfigurable architectures that aims in improving the mapped applications’ p...
Grigoris Dimitroulakos, Michalis D. Galanis, Costa...