—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be im...
We introduce a novel skeleton extraction algorithm in binary and gray-scale images, based on the anisotropic heat diffusion analogy. We propose to diffuse image in the dominance o...
Abstract Image denoising is the process of removing the noise that perturbs image analysis methods. In some applications like segmentation or registration, denoising is intended to...
Fernanda Palhano Xavier de Fontes, Guillermo Andra...
We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool pr...