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"Le sentier batu" de Jean de Condé - Édition, traduction et notes d'après le manuscrit Arsenal 3524
No full textÉdition, traduction et notes du Sentier batu de Jean de Condé d'après le ms. Arsenal 352
L'enfant de noif - Édition, traduction et notes d'après le manuscrit de Chantilly 475
No full textÉdition, traduction et notes de L'enfant de noif d'après le manuscrit de Chantilly 47
La dame escoillee - Édition et notes d'après le manuscrit BnF fr. 12603
No full textÉdition et notes de La dame escoillee d'après le ms. BnF fr. 1260
Collective risk-taking by couples : Individual vs household risk
No full textInternational audience101 real couples participated in a controlled experimental risk-taking task involving variations in household and individual income risks, while controlling for ex-ante income inequality. Our design disentangles the effects of household risk, intra-household risk inequality, and ex-post payoff inequality. We find that most couples (about 79%) pooled their risk at the household level when risks were borne symmetrically, but a significant proportion of couples (about 36%) failed to do so when individual risks were borne asymmetrically. Additionally, within the scope of the control variables we have utilized, we find that intra-household risk inequality has a larger impact on non-married couples compared to married ones. These results remain robust when the analysis is limited to couples in which both spouses are risk-averse. Lastly, we find that preferences for household efficiency are significantly correlated across both certain and risky situations. However, couples consisting of two income-maximizing spouses do not show greater aversion to risk inequality compared to couples with other compositions.<br /
Microclimat urbain Arboré dans un contexte de changement Global –Identification des interrelations Climat/biodiversité/humains dans un square
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Adaptive representation learning and sample weighting for low-quality 3D face recognition
No full textInternational audience3D face recognition (3DFR) algorithms have advanced significantly in the past two decades by leveraging facial geometric information, but they mostly focus on high-quality 3D face scans, thus limiting their practicality in real-world scenarios. Recently, with the development of affordable consumer-level depth cameras, the focus has shifted towards low-quality 3D face scans. In this paper, we propose a method for low-quality 3DFR. On one hand, our approach employs the normalizing flow to model an adaptive-form distribution for any given 3D face scan. This adaptive distributional representation learning strategy allows for more robust representations of low-quality 3D face scans (which may be caused by the scan noises, pose or occlusion variations, etc.). On the other hand, we introduce an adaptive sample weighting strategy to adjust the importance of each training sample by measuring both the difficulty of being recognized and the data quality. This adaptive sample weighting strategy can further enhance the robustness of the deep model and meanwhile improve its performance on low-quality 3DFR. Through comprehensive experiments, we demonstrate that our method can significantly improve the performance of low-quality 3DFR. For example, our method achieves competitive results on both the IIIT-D database and the Lock3DFace datasets, underscoring its effectiveness in addressing the challenges associated with low-quality 3D faces
La caméra analytique et l'économie des relations : le cas de "Cinemarxisme" (1979)
No full textInternational audienc
Foi et (anti-)Lumières : Controverses autour de l’Aufklärung dans la prédication et dans la presse viennoise, de 1770 à 1800
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