This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
This paper presents a new method to compute the probability distribution of the delay of a combinational circuit and uses it obtain an estimate of the yield of the process that ma...
Transistlw-level power simulators, which are more accurate than logic-level power estimators, have been popularly used to estimate the power dissipation of CMOS circuits. In thisp...
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency. In addition, the paper p...