While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
The goal of this paper is to give a short historical overview of multiple view vision and in particular the estimation of both camera geometry and scene models using only images a...
We show two methods of distinguishing the LEVIATHAN stream cipher from a random stream using 236 bytes of output and proportional effort; both arise from compression within the ci...
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...