Recent approaches to large vocabulary decoding with finite state graphs have focused on the use of state minimization algorithms to produce relatively compact graphs. This paper e...
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
Application-specific customization of the instruction set helps embedded processors achieve significant performance and power efficiency. In this paper, we explore customizatio...
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...