A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Abstract— Quickest detection is applied in the spectrum sensing of cognitive radio systems when multiple secondary users collaborate with limited communication time slots. When t...
— In this work we present a robust detection method in outdoor scenes under cast shadows using color based invariant gradients in combination with HoG local features. The method ...
Michael Villamizar, Jorge Scandaliaris, Alberto Sa...
— We study radio signal propagation in indoor environments using low-power devices leveraging the Zigbee and Bluetooth specifications. We present results from experiments where ...
Jonathan Fink, Nathan Michael, Aleksandr Kushleyev...