Modeling Internet growth is important both for understanding the current network and to predict and improve its future. To date, Internet models have typically attempted to explai...
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Successful composting implies a careful monitoring of the batch process, which includes two phases: active composting and curing. In the first phase, a succession of microbial act...
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...