This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Modern embedded processors use data caches with higher and higher degrees of associativity in order to increase performance. A set–associative data cache consumes a significant...
Dan Nicolaescu, Alexander V. Veidenbaum, Alexandru...
This paper presents a mechanism for the separation of control and data flow in NoC-based SoCs consisting of multiple heterogeneous reconfigurable IP cores. This mechanism enables ...
With the widening performance gap between processors and main memory, efficient memory accessing behavior is necessary for good program performance. Loop partition is an effective...