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See detail"Macbeth", de Shakespeare à Orson Welles
Tomasovic, Dick ULg

Conference given outside the academic context (2016)

Analyse de l'adaptation cinématographique du Macbeth de Shakespeare par Orson Welles en 1948.

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See detailI maccheroni fra lingua e palato
Aresti, Alessandro ULg

in Arcangeli, Massimo (Ed.) Peccati di lingua. Le 100 parole italiane del Gusto (2015)

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See detailMacchina fotografica
Aresti, Alessandro ULg

in Arcangeli, Massimo (Ed.) Itabolario. L’Italia unita in 150 parole (2011)

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See detailA Mach-Zehnder interferometer based on orbital angular momentum for improved vortex coronagraph efficiency
Piron, Pierre ULg; Delacroix, Christian; Huby, Elsa ULg et al

in Shaklan, Stuart (Ed.) Techniques and Instrumentation for Detection of Exoplanets VII (2015, September 11)

The Annular Groove Phase Mask (AGPM) is a vectorial vortex phase mask. It acts as a half-wave plate with a radial fast axis orientation operating in the mid infrared domain. When placed at the focus of a ... [more ▼]

The Annular Groove Phase Mask (AGPM) is a vectorial vortex phase mask. It acts as a half-wave plate with a radial fast axis orientation operating in the mid infrared domain. When placed at the focus of a telescope element provides a continuous helical phase ramp for an on axis sources, which creates the orbital angular momentum. Thanks to that phase, the intensity of the central source is canceled by a down-stream pupil stop, while the off axis sources are not affected. However due to experimental conditions the nulling is hardly perfect. To improve the null, a Mach-Zehnder interferometer containing Dove prisms differently oriented can be proposed to sort out light based on its orbital angular momentum (OAM). Thanks to the differential rotation of the beam, a π phase shift is achieved for the on axis light affected by a non zero OAM. Therefore the contrast between the star and its faint companion is enhanced. Nevertheless, due the Dove prisms birefringence, the performance of the interferometer is relatively poor. To solve this problem, we propose to add a birefringent wave-plate in each arm to compensate this birefringence. In this paper, we will develop the mathematical model of the wave front using the Jones formalism. The performance of the interferometer is at first computed for the simple version without the birefringent plate. Then the effect of the birefringent plate is be mathematically described and the performance is re-computed. [less ▲]

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See detailMachiavel
Herla, Anne ULg

Conference given outside the academic context (2010)

Detailed reference viewed: 8 (0 ULg)
See detailMachiavel et le paradigme foucaldien de la gouvernementalité
Herla, Anne ULg

Scientific conference (2006, March 03)

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See detailLe "Machiavel" d'Althusser
Mancuso, Eva ULg

Scientific conference (2014, November 21)

Detailed reference viewed: 33 (11 ULg)
See detailLe "Machiavel" de Lefort
Mancuso, Eva ULg

Scientific conference (2014, November 07)

Detailed reference viewed: 14 (1 ULg)
Peer Reviewed
See detailMachiavellian Rethoric. From the Counter-Reformation to Milton, Princeton.
Moreno, Paola ULg

in Revue Belge de Philologie et d'Histoire (1999)

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See detailLa machine à vapeur moderne (fin)
Dwelshauvers-Dery, Victor ULg

Speech/Talk (1903)

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See detailLa machine à vapeur moderne (suite)
Dwelshauvers-Dery, Victor ULg

Speech/Talk (1902)

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See detailLa machine à vapeur moderne
Dwelshauvers-Dery, Victor ULg

Speech/Talk (1901)

Detailed reference viewed: 136 (2 ULg)
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See detailMachine Intelligence Technology for Automatic Target Recognition
Verly, Jacques ULg; Delanoy, Richard L.; Dudgeon, Dan E.

in Lincoln Laboratory Journal (1989), 2(2), 277-311

Detailed reference viewed: 36 (1 ULg)
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See detailMachine Intelligent Automatic Recognition of Critical Mobile Targets in Laser Radar Imagery
Delanoy, Richard L.; Verly, Jacques ULg; Dudgeon, Dan E.

in Lincoln Laboratory Journal (1993), 6(1), 161-186

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See detailMachine Learning and Insulin Sensitivity in Determining Outcome in Preterm Infants
Uyttendaele, Vincent; Dickson, JL; Lynn, A et al

Poster (2015)

Detailed reference viewed: 35 (2 ULg)
See detailMachine learning applied to power systems transient security functions
Wehenkel, Louis ULg; Xue, Yusheng; Van Cutsem, Thierry ULg et al

in Proc. IMACS Int. Symp. on AI, Experts Systems and Languages in Modelling and Simulation (1987)

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See detailA Machine Learning Approach for Material Detection in Hyperspectral Images
Marée, Raphaël ULg; Stevens, Benjamin ULg; Geurts, Pierre ULg et al

in Proc. 6th IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum (OTCBVS-CVPR09) (2009)

In this paper we propose a machine learning approach for the detection of gaseous traces in thermal infra red hyperspectral images. It exploits both spectral and spatial information by extracting subcubes ... [more ▼]

In this paper we propose a machine learning approach for the detection of gaseous traces in thermal infra red hyperspectral images. It exploits both spectral and spatial information by extracting subcubes and by using extremely randomized trees with multiple outputs as a classifier. Promising results are shown on a dataset of more than 60 hypercubes. [less ▲]

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See detailA Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks
Geurts, Pierre ULg; El Khayat, Ibtissam; Leduc, Guy ULg

(2004, November)

In this paper, we present the application of machine learning techniques to the improvement of the congestion control of TCP in wired/wireless networks. TCP is suboptimal in hybrid wired/wireless networks ... [more ▼]

In this paper, we present the application of machine learning techniques to the improvement of the congestion control of TCP in wired/wireless networks. TCP is suboptimal in hybrid wired/wireless networks because it reacts in the same way to losses due to congestion and losses due to link errors. We thus propose to use machine learning techniques to build automatically a loss classifier from a database obtained by simulations of random network topologies. Several machine learning algorithms are compared for this task and the best method for this application turns out to be decision tree boosting. It outperforms ad hoc classifiers proposed in the networking literature. [less ▲]

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See detailMachine Learning Approaches to Power System Security Assessment
Wehenkel, Louis ULg

Post doctoral thesis (1994)

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See detailMachine Learning based Prediction of Internet Path Dynamics
Wassermann, Sarah ULg; Casas, Pedro; Donnet, Benoît ULg

in ACM CoNEXT Student Workshop: Irvine 12 décembre 2016 (2016, December)

We study the problem of predicting Internet path changes and path performance using traceroute and machine-learning techniques. Path changes are frequently linked to path inflation and performance ... [more ▼]

We study the problem of predicting Internet path changes and path performance using traceroute and machine-learning techniques. Path changes are frequently linked to path inflation and performance degradation. Therefore, predicting their occurrence could improve the analysis of path dynamics using traceroute. By relying on neural networks and using empirical distribution based input features, we show that we are able to predict (i) the remaining life time of a path before it actually changes, and (ii) the number of path changes in a certain time slot with relatively high accuracy. We also show that it is possible to predict path performance in terms of latency, opening the door to novel, machine-learning-based approaches for RTT prediction. [less ▲]

Detailed reference viewed: 42 (2 ULg)