The recent explosion in protein data generated from both directed small-scale studies and largescale proteomics efforts has greatly expanded the quantity of available protein info...
Robert S. Nash, Shuai Weng, Benjamin C. Hitz, Rama...
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Abstract— We propose formal models for analyzing robustness of multi-hop control networks, where data from sensors to controllers and from controllers to actuators is sent throug...
Gera Weiss, Alessandro D'Innocenzo, Rajeev Alur, K...
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
We present a technique for compression of shortest paths routing tables for wireless ad hoc networks. The main characteristic of such networks is that geographic location of nodes...