One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
— Small gates, such as AND2, XOR2 and MUX2, have been mixed with lookup tables (LUTs) inside the programmable logic block (PLB) to reduce area and power and increase performance ...
In this paper, we present novel algorithms that effectively combine physical layout and early logic synthesis to improve overall design quality. In addition, we employ partitionin...