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See detailGénération, cénacle, mouvance : essai de sociologie quantitative des Jeunes-France
Dozo, Björn-Olav ULg; Glinoer, Anthony

in Les Cahiers du XIXe siècle (2009), III-IV

Detailed reference viewed: 65 (10 ULg)
See detailGenerational Accounting in Belgium: Fiscal Sustainability at a Glance
Decoster, André; Flawinne, Xavier ULg; Vanleenhove, Pieter

E-print/Working paper (2012)

Detailed reference viewed: 62 (13 ULg)
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See detailGenerational accounts for Belgium: fiscal sustainability at a glance
Decoster, André; Vanleenhove, Pieter; Flawinne, Xavier ULg

in Empirica (2013)

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See detailGénérations et politique, sous la direction de Jean Crête et Pierre Favre (compte rendu)
Fournier, Bernard ULg

in Revue Québécoise de Science Politique (1991), 20(automne), 163-168

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See detailA generic anisotropic continuum damage model integration scheme adaptable to both ductile damage and biological damage-like situations
Mengoni, Marlène ULg; Ponthot, Jean-Philippe ULg

in International Journal of Plasticity (2015), 66

This paper aims at presenting a general versatile time integration scheme applicable to anisotropic damage coupled to elastoplasticity, considering any damage rate and isotropic hardening formulations ... [more ▼]

This paper aims at presenting a general versatile time integration scheme applicable to anisotropic damage coupled to elastoplasticity, considering any damage rate and isotropic hardening formulations. For this purpose a staggered time integration scheme in a finite strain framework is presented, together with an analytical consistent tangent operator. The only restrictive hypothesis is to work with an undamaged isotropic material, assumed here to follow a J2 plasticity model. The only anisotropy considered is thus a damage-induced anisotropy. The possibility to couple any damage rate law with the present algorithm is illustrated with a classical ductile damage model for aluminium, and a biological damage-like application. The later proposes an original bone remodelling law coupled to trabecular bone plasticity for the simulation of orthodontic tooth movements. All the developments have been considered in the framework of the implicit non-linear finite element code Metafor (developed at the LTAS/MN2L, University of Liège, Belgium - www.metafor.ltas.ulg.ac.be). [less ▲]

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See detailA generic approach for image classification based on decision tree ensembles and local sub-windows
Marée, Raphaël ULg; Geurts, Pierre ULg; Piater, Justus ULg et al

in Proceedings of the 6th Asian Conference on Computer Vision (2004)

A novel and generic approach for image classification is presented. The method operates directly on pixel values and does not require feature extraction. It combines a simple local sub-window extraction ... [more ▼]

A novel and generic approach for image classification is presented. The method operates directly on pixel values and does not require feature extraction. It combines a simple local sub-window extraction technique with induction of ensembles of extremely randomized decision trees. We report results on four well known and publicly available datasets corresponding to representative applications of image classification problems: handwritten digits (MNIST), faces (ORL), 3D objects (COIL-100), and textures (OUTEX). A comparison with studies from the computer vision literature shows that our method is competitive with the state of the art, an interesting result considering its generality and conceptual simplicity. Further experiments are carried out on the COIL-100 dataset to evaluate the robustness of the learned models to rotation, scaling, or occlusion of test images. These preliminary results are very encouraging [less ▲]

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See detailA generic approach for solving nonlinear-discrete security-constrained power flow problems in large-scale systems
Platbrood, Ludovic; Capitanescu, Florin; Crisciu, Horia et al

in IEEE Transactions on Power Systems (2014), 29(3), 1194-1203

This paper proves the practicality of an iterative algorithm for solving realistic large-scale SCOPF problems. This algorithm is based on the combination of a contingency filtering scheme, used to ... [more ▼]

This paper proves the practicality of an iterative algorithm for solving realistic large-scale SCOPF problems. This algorithm is based on the combination of a contingency filtering scheme, used to identify the binding contingencies at the optimum, and a network compression method, used to reduce the complexity of the post-contingency models included in the SCOPF formulation. We show that by combining these two complementary ideas, it is possible to solve in a reasonable time SCOPF problems on large power system models with a large number of contingencies. Unlike most results reported for large-scale SCOPF problems, our algorithm uses a non-linear AC network model in both pre-contingency and post-contingency states, optimizes both active/reactive powers flows jointly, and treats the discrete variables. The proposed algorithm is implemented with state-of-the-art solvers and applied to two systems: a national grid with 2563 buses and 1297 contingencies, and a model of the European transmission network with 9241 buses and 12000 contingencies. [less ▲]

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See detailA generic approach to closed loop, digital transducers
Kraft, Michaël ULg; Lewis, Christopher P.

in Sensor 97 (1997)

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See detailA generic chemical platform for molecular recognition and stimuli-responsive probes based on scanning probe microscopy
Cecchet, Francesca; Lussis, Perrine ULg; Jérôme, Christine ULg et al

in Small : Nano Micro (2008), 4(8), 1101-1104

The grafting of poly-N-succinimidyl acrylate from scanning probe microscopy tips is shown to be a robust platform for the very easy elaboration of versatile probes with sensor capabilities and tunable ... [more ▼]

The grafting of poly-N-succinimidyl acrylate from scanning probe microscopy tips is shown to be a robust platform for the very easy elaboration of versatile probes with sensor capabilities and tunable properties. The modified tips can be easily postfunctionalized for single-molecule recognition of host-guest and ligand-receptor systems and for the design of smart probes that are thermo- and pH-responsive. [less ▲]

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See detailA Generic Chemical Platform for the Design of Versatile and 'Smart' SPM Probes
Duwez, Anne-Sophie ULg

Conference (2006, November 26)

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See detailA Generic Feature Selection Method for Background Subtraction Using Global Foreground Models
Braham, Marc ULg; Van Droogenbroeck, Marc ULg

in Advanced Concepts for Intelligent Vision Systems (2015, October)

Over the last few years, a wide variety of background subtraction algorithms have been proposed for the detection of moving objects in videos acquired with a static camera. While much effort have been ... [more ▼]

Over the last few years, a wide variety of background subtraction algorithms have been proposed for the detection of moving objects in videos acquired with a static camera. While much effort have been devoted to the development of robust background models, the automatic spatial selection of useful features for representing the background has been neglected. In this paper, we propose a generic and tractable feature selection method. Interesting contributions of this work are the proposal of a selection process coherent with the segmentation process and the exploitation of global foreground models in the selection strategy. Experiments conducted on the ViBe algorithm show that our feature selection technique improves the segmentation results. [less ▲]

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See detailGeneric image classification: random and convolutional approaches
Begon, Jean-Michel ULg

Master's dissertation (2014)

Supervised learning introduces genericity in the field of image classification, thus enabling fast progress in the domain. Genericity does not imply ease-of-use, however, and the best methods in term of ... [more ▼]

Supervised learning introduces genericity in the field of image classification, thus enabling fast progress in the domain. Genericity does not imply ease-of-use, however, and the best methods in term of accuracy, namely convolutional neural networks, suffer from its lack. In this master thesis, we propose an alternative approach relying on extremely randomized trees and random subwindow extraction combine with elements of the convolutional networks. We explore two modes of utilization of the forest: primarily a direct approach where the forest is the final classifier (ET-DIC) and to a lesser extent, a preprocessing step where the forest is used to build a visual dictionary but where the actual classification is undertaken by a support vector machine (ET-FL). We show that, in both modes, our scheme performs better than without using the convolutional network elements but we are not quite yet reaching their performances. The ET-DIC variant keeps more in the line of classification forest advantages but performs less well as far as accuracy is concerned. This is further highlighted by the remarkable stability of the ET-DIC mode. This stability accounts for the ease-of-use of the method but also prevents elaborated optimization. We were able to score an accuracy of 0.613 whereas the record for this mode without the convolutional network elements was of 0.5367. The ET-FL produces better results at the cost of a greater variability of accuracy due to the loss of the ability to favor the interesting filters and a greater overfitting, consequence of the loss of the ensemble smoothing effect. The accuracies range from 0.55 to 0.7431 depending on the choice of hyper-parameters. The computational cost of both methods is much greater than with a traditional forest, however. [less ▲]

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See detailA generic platform for SPM-based molecular recognition processes and stiluli-responsive probes
Gabriel, Sabine ULg; Jérôme, Christine ULg; Silva-Goncalves, Elsa et al

Poster (2006, May 18)

Detailed reference viewed: 28 (2 ULg)
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See detailA Generic Platform for SPM-Based Molecular Recognition Processes and Stimuli-Responsive Probes
Gabriel, S.; Jérôme, Christine ULg; Silva-Goncalves, E. et al

Conference (2006, May 18)

Detailed reference viewed: 4 (0 ULg)
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See detailGeneric results in classes of ultradifferentiable functions
Esser, Céline ULg

in Journal of Mathematical Analysis & Applications (2014), 413(1), 378391

Let E be a Denjoy Carleman class of ultradifferentiable functions of Beurling type on the real line that strictly contains another class F of Roumieu type. We show that the set S of functions in E that ... [more ▼]

Let E be a Denjoy Carleman class of ultradifferentiable functions of Beurling type on the real line that strictly contains another class F of Roumieu type. We show that the set S of functions in E that are nowhere in the class F is large in the topological sense (it is residual), in the measure theoretic sense (it is prevalent), and that SU{0} contains an infinite dimensional linear subspace (it is lineable). Consequences for the Gevrey classes are given. Similar results are also obtained for classes of ultradifferentiable functions defined imposing conditions on the Fourier Laplace transform of the function. [less ▲]

Detailed reference viewed: 74 (25 ULg)