Consumer-and-provider-oriented efficient IaaS resource allocation
T Ecarot, D Zeghlache… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This paper presents a method of cloud resource allocation designed to take into account
both consumers and providers' interests. This comes in contrast to today's provider centered …
both consumers and providers' interests. This comes in contrast to today's provider centered …
A kernel-based representation to support 3d mri unsupervised clustering
D Cardenas-Pena, M Orbes-Arteaga… - 2014 22nd …, 2014 - ieeexplore.ieee.org
A new kernel-based image representation is proposed on this paper aiming to support
clustering tasks on 3D magnetic resonances images. The approach establishes an effective …
clustering tasks on 3D magnetic resonances images. The approach establishes an effective …
Tensor-product kernel-based representation encoding joint MRI view similarity
A Álvarez-Meza, D Cárdenas-Peña… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
To support 3D magnetic resonance image (MRI) analysis, a marginal image similarity (MIS)
matrix holding MR inter-slice relationship along every axis view (Axial, Coronal, and …
matrix holding MR inter-slice relationship along every axis view (Axial, Coronal, and …
[PDF][PDF] Accurate skull modeling for EEG source imaging
VE Montes Restrepo - 2016 - core.ac.uk
Accurate Skull Modeling for EEG Source Imaging Victoria Montes Restrepo Page 1
Accurate Skull Modeling for EEG Source Imaging Nauwkeurige schedelmodellering voor …
Accurate Skull Modeling for EEG Source Imaging Nauwkeurige schedelmodellering voor …
Information-Based Cost Function for a Bayesian MRI Segmentation Framework
D Cárdenas-Peña, AA Orozco… - … Conference on Image …, 2015 - Springer
A new information-based cost function is introduced for learning the conditional class
probability model required in the probabilistic atlas-based brain magnetic resonance image …
probability model required in the probabilistic atlas-based brain magnetic resonance image …