The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
In this paper, we present a fast and efficient Iterative Improvement Partitioning (IIP) technique for VLSI circuits and hybrid bucket structures on its implementation. Due to thei...
This paper presents a multiple-FPGA-based experimentation board. The problem to be solved is that of implementing a circuit into a set of FPGAs. This board provides a hardware env...
We consider the problem of determining the placement of a star R on a set P of n points in the plane such that a given objective function is maximized. A star R is a set of m rays...
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...