—We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we...
Parastoo Sadeghi, Pascal O. Vontobel, Ramtin Shams
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
— New back-end design for manufacturability rules have brought guarantee rules for interconnect matching. These rules indicate a certain capacitance matching guarantee given spac...
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Optimization with graph cuts became very popular in recent years. Progress in problems such as stereo correspondence, image segmentation, etc., can be attributed, in part, to the ...