Publications related to Colour calibration for colour reproduction

Center-aware Adversarial Augmentation for Single Domain Generalization

Domain generalization (DG) aims to learn a model from multiple training (i.e., source) domains that can generalize well to the unseen test (i.e., target) data coming from a different distribution. Single domain generalization (SingleDG) has recently emerge ...

IEEE COMPUTER SOC2023

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

Algirdas Ducinskas

Hybrid halide perovskites are currently one of the most studied semiconductors. However, due to poor intrinsic and extrinsic stability, further developments to commercialize devices based on hybrid halide perovskites are limited. Many different strategies ...

EPFL2022

System and methods for differential imaging using a lock-in camera

Christophe Moser, Timothé Laforest, Damien Claude-Marie Loterie, Chiara Bonati

The present invention describes an imaging system that allows visualization of a wide range of samples both in terms of morphology and in terms of material (e.g. density distribution, varying chemical composition, or anything that induces a change of optic ...

2021

The role of demand in fostering product vs process innovation: a model and an empirical test

Gabriele Pellegrino

While the extant innovation literature has provided extensive evidence of the so-called "demand-pull" effect, the possible diverse impact of demand evolution on product vs process innovation activities has not been yet investigated. This paper develops a f ...

SPRINGER2020

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Topology classification with deep learning to improve real-time event selection at the LHC

Roberto Castello

We show how an event topology classification based on deep learning could be used to improve the purity of data samples selected in real-time at the Large Hadron Collider. We consider different data representations, on which different kinds of multi-class ...

2019

Distributed sampling for rational approximation of the acoustic scattering of an airfoil

Francesca Bonizzoni, Davide Pradovera

In this paper we compute a reduced order model for a time‐harmonic external acoustic scattering problem with parametric frequency. The employed technique is minimal rational interpolation, an explicit moment‐matching method for Hilbert space‐valued meromor ...

2019

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

In vitro estrogen receptor transactivation assays (ERTAs) are increasingly used to measure the overall estrogenic activity of environmental water samples, which may serve as an indicator of exposure of fish or other aquatic organisms to (xeno)estrogens. An ...

Pergamon-Elsevier Science Ltd2017

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Colour calibration for colour reproduction

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Center-aware Adversarial Augmentation for Single Domain Generalization

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

System and methods for differential imaging using a lock-in camera

The role of demand in fostering product vs process innovation: a model and an empirical test

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Topology classification with deep learning to improve real-time event selection at the LHC

Distributed sampling for rational approximation of the acoustic scattering of an airfoil

Sampling at unknown locations, with an application in surface retrieval

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

Shapes from Pixels

The role of demand in fostering product vs process innovation: a model and an empirical test

Sampling at unknown locations, with an application in surface retrieval

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

System and methods for differential imaging using a lock-in camera

Topology classification with deep learning to improve real-time event selection at the LHC

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Shapes from Pixels

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

Distributed sampling for rational approximation of the acoustic scattering of an airfoil

Center-aware Adversarial Augmentation for Single Domain Generalization