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Décomposition d’Images Fondée sur l’Analyse de la Régularité Locale: Application au Codage Hybride d’Image
(2016-07-01)
La représentation hybride d'image utilise conjointement la décomposition en ondelettes pour l'information structurée et la modélisation paramétrique pour les textures. Dans ce cadre, nous proposons un algorithme qui décompose ...
Assessment of photovoltaic performance models for system simulation
(2017-01-01)
An essential stage in assessing the feasibility of a PV project is the energy yield prediction, which estimates the total energy production of a PV system at a specific site. Photovoltaic (PV) performance models are ...
Random partition models with regression on covariates
(ELSEVIER SCIENCE BV, 2010)
Many recent applications of nonparametric Bayesian inference use random partition models, i.e. probability models for clustering a set of experimental units. We review the popular basic constructions. We then focus on an ...
Model for the Evaluation of Educational Quality Using Virtual Learning Environment
(2011-07-03)
This article describes a model for the evaluation of educational quality using a virtual learning environment. This model describes quantitative and qualitative aspects that are based on a set of quality attributes and ...
The Bogdanov-Takens Normal Form: A Minimal Model for Single Neuron Dynamics
(MDPI AG, 2015)
Conductance-based (CB) models are a class of high dimensional dynamical systems derived from biophysical principles to describe in detail the electrical dynamics of single neurons. Despite the high dimensionality of these ...
A Model-Based Tool for Generating Software Process Model Tailoring Transformations
(2014)
Tailoring is the mechanism of adapting a software process to the needs of a project. Model-Driven Engineering (MDE) provides a formal basis and tools infrastructure for automatic software process tailoring. However, the ...