Publications related to Pearson distribution

Efficient ensemble summaries are inversely related to visual crowding

Michael Herzog, David Pascucci, Yury Markov, Natalia Tiurina

Visual crowding is the inability to perceive properly peripheral stimuli within clutter. Previous work has shown that crowding is affected by perceptual grouping: when the flankers do not group with the target, crowding decreases, leading to uncrowding. Ty ...

2021

Deep Domain Adaptation in Earth Observation

Devis Tuia, Benjamin Alexander Kellenberger, Nicolas Courty

When applied to new datasets, acquired at different time moments, with different sensors or under different acquisition conditions, deep learning models might fail spectacularly. This is because they have learned from the data distribution observed during ...

Wiley2021

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Sylvain Calinon, Emmanuel Pignat

Probability distributions are key components of many learning from demonstration (LfD) approaches, with the spaces chosen to represent tasks playing a central role. Although the robot configuration is defined by its joint angles, end-effector poses are oft ...

SAGE PUBLICATIONS LTD2021

RC U-shaped walls subjected to in-plane, diagonal, and torsional loading: New experimental findings

Katrin Beyer, Ryan Hoult

Although reinforced concrete U-shaped walls are popular in construction practice internationally, there is a paucity of experimental research investigating the seismic performance of such salient elements. The present paper summarizes an experimental campa ...

ELSEVIER SCI LTD2021

A Statistical Test for Probabilistic Fairness

Daniel Kuhn, Viet Anh Nguyen, Bahar Taskesen

Algorithms are now routinely used to make consequential decisions that affect human lives. Examples include college admissions, medical interventions or law enforcement. While algorithms empower us to harness all information hidden in vast amounts of data, ...

2021

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams

Christoph Bostedt, Andre Al Haddad

Previous single-pulse extreme ultraviolet and x-ray coherent diffraction studies revealed that superfluid He-4 droplets obtained in a free jet expansion acquire sizable angular momentum, resulting in significant centrifugal distortion. Similar experiments ...

AMER PHYSICAL SOC2020

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Daniel Gallichan, Frédéric Gretsch

Purpose To compare motion tracking by 2 modern methods (fat navigators [FatNavs] and Moir' phase tracking [MPT]) as well as their performance for retrospective correction of very high resolution acquisitions. Methods A direct comparison of FatNavs and MPT ...

2020

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani

We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst ...

2020

Collaborative Sampling in Generative Adversarial Networks

Alexandre Massoud Alahi, Yuejiang Liu, Parth Ashit Kothari

The standard practice in Generative Adversarial Networks (GANs) discards the discriminator during sampling. However, this sampling method loses valuable information learned by the discriminator regarding the data distribution. In this work, we propose a co ...

2020

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Pearson distribution

Efficient ensemble summaries are inversely related to visual crowding

Deep Domain Adaptation in Earth Observation

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

RC U-shaped walls subjected to in-plane, diagonal, and torsional loading: New experimental findings

A Statistical Test for Probabilistic Fairness

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams

Impact of a companion and of chromospheric emission on the shape of chromosome maps for globular clusters

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Collaborative Sampling in Generative Adversarial Networks

Graph Chatbot

Chat with Graph Search

Efficient ensemble summaries are inversely related to visual crowding

Shapes of rotating normal fluid He-3 versus superfluid He-4 droplets in molecular beams

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Deep Domain Adaptation in Earth Observation

RC U-shaped walls subjected to in-plane, diagonal, and torsional loading: New experimental findings

A Statistical Test for Probabilistic Fairness

Impact of a companion and of chromospheric emission on the shape of chromosome maps for globular clusters

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Collaborative Sampling in Generative Adversarial Networks

Learning from demonstration using products of experts: Applications to manipulation and task prioritization