A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
— Over the last years, the Internet has evolved towards becoming the dominant platform for deploying real time and multimedia services. This evolution has had as a consequence th...
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...