Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Simulation is the primary method for evaluating computer systems during all phases of the design process. One significant problem with simulation is that it rarely models the syst...
Jeff Gibson, Robert Kunz, David Ofelt, Mark Heinri...
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
A probabilistic lighting model is presented for thin coats of fur over skin. Previous methods for rendering furry objects and creatures have addressed the case where individual st...
This paper introduces the bisection debugging model. The key idea is to use a debugger to identify the semantic differences between two versions of the same program. The debugger ...