The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
Content adaptation is an effective solution to support the quality of service for multimedia services over heterogeneous networks. This paper deals with the accuracy and the real-...
Today, due to the increasing demand for more and more complex applications in the consumer electronic market segment, Systems-on-Chip consist of many processing elements and becom...
Sahar Foroutan, Yvain Thonnart, Richard Hersemeule...
Accurate gate-level static timing analysis in the presence of RC loads has become an important problem for modern deep-submicron designs. Non-capacitive loads are usually analyzed...