We develop geometric dynamical systems methods to determine how various components contribute to a neuronal network's emergent population behavior. The results clarify the mu...
In this work, we are interested in technologies that will allow users to actively browse and navigate large image databases and to retrieve images through interactive fast browsin...
This paper presents a new non-iterative, closed-form approximation to the maximum entropy (M.E.) image restoration method. A fast frequency domain implementation of this closed fo...
We present a novel method for the fast computation of rotation invariant "local binary patterns" (LBP) on 3D volume data. Unlike a previous publication on 3D LBP, this n...
In this paper we propose a novel computational method to infer visual saliency in images. The computational method is based on the idea that salient objects should have local char...