Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Abstract— This paper considers the localizaton and navigation of a mobile robot. The control strategy is based on a nonlinear model predictive control technique that utilizes the...
Fernando C. Lizarralde, Eduardo V. L. Nunes, Liu H...
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
P. Read Montague, Peter Dayan, Steven J. Nowlan, T...
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...