[HTML][HTML] Approximate analog computing with metatronic circuits
Analog photonic solutions offer unique opportunities to address complex computational
tasks with unprecedented performance in terms of energy dissipation and speeds …
tasks with unprecedented performance in terms of energy dissipation and speeds …
[HTML][HTML] A semiautomatic multi-label color image segmentation coupling Dirichlet problem and colour distances
Image segmentation is an essential but critical component in low level vision, image
analysis, pattern recognition, and now in robotic systems. In addition, it is one of the most …
analysis, pattern recognition, and now in robotic systems. In addition, it is one of the most …
[HTML][HTML] A semi-supervised reduced-space method for hyperspectral imaging segmentation
The development of the hyperspectral remote sensor technology allows the acquisition of
images with a very detailed spectral information for each pixel. Because of this …
images with a very detailed spectral information for each pixel. Because of this …
Analog computing with metatronic circuits
Analog photonic solutions offer unique opportunities to address complex computational
tasks with unprecedented performance in terms of energy dissipation and speeds …
tasks with unprecedented performance in terms of energy dissipation and speeds …
[HTML][HTML] A multi-class logistic regression algorithm to reliably infer network connectivity from cell membrane potentials
In neuroscience, the structural connectivity matrix of synaptic weights between neurons is
one of the critical factors that determine the overall function of a network of neurons. The …
one of the critical factors that determine the overall function of a network of neurons. The …
A new nonlocal nonlinear diffusion equation: the one-dimensional case
We prove a result on the existence and uniqueness of the solution of a new feature-
preserving nonlinear nonlocal diffusion equation for signal denoising for the one …
preserving nonlinear nonlocal diffusion equation for signal denoising for the one …
[PDF][PDF] From dynamics to links: a sparse reconstruction of the topology of a neural network
One major challenge in neuroscience is the identification of interrelations between signals
reflecting neural activity and how information processing occurs in the neural circuits. At the …
reflecting neural activity and how information processing occurs in the neural circuits. At the …
Adaptive hybrid diffusion model using variational mode decomposition for edge preserving noise attenuation
J Feng, B Zhu, W Li, H Chen, B Zhou, S Wu… - Geophysical …, 2020 - earthdoc.org
Preserving the structural and stratigraphic discontinuities or edges is essential in seismic
data processing and interpretation. According to several numerical experiments, it is obvious …
data processing and interpretation. According to several numerical experiments, it is obvious …
[PDF][PDF] A NOTE ON A NEW NONLOCAL NONLINEAR DIFFUSION EQUATION: THE ONE DIMENSIONAL CASE
In this paper we prove a result on the existence and uniqueness of the solution of a new
feature–preserving nonlinear nonlocal diffusion equation for signal denoising [1] for the one …
feature–preserving nonlinear nonlocal diffusion equation for signal denoising [1] for the one …