Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Animation can add significant value to Discrete-Event Simulation by helping verify, validate, and accredit simulation analyses. This is particularly true in construction where typ...
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
In this paper the acoustic event detection and classification system that has been developed at Athens Information Technology is presented. This system relies on the use of severa...