This paper proposes optimizations of the methods and parameters used in both mathematical approximation and hardware design for logarithmic number system (LNS) arithmetic. First, ...
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
— Excessive instantaneous power consumption may reduce the reliability and performance of VLSI chips. Hence, to synthesize circuits with high reliability, it is imperative to ef...
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...