The availability of a large, freely redistributable set of highquality annotated images is critical to allowing researchers in the area of automatic annotation, generic object rec...
In this paper, the authors compare a Monte Carlo method and an optimization-based approach using genetic algorithms for sequentially generating space-filling experimental designs....
Both technology mapping and circuit clustering have a large impact on FPGA designs in terms of circuit performance, area, and power dissipation. Existing FPGA design flows carry o...
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...