Patrick Héas

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Generalized Kernel-Based Dynamic Mode Decomposition

Reduced modeling in high-dimensional reproducing kernel Hilbert spaces o...
02/11/2020 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Low-rank Approximation of Linear Maps

This work provides closed-form solutions and minimal achievable errors f...
12/21/2018 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Adapting Reduced Models in the Cross-Entropy Method

This paper deals with the estimation of rare event probabilities using i...
06/05/2018 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Optimal Kernel-Based Dynamic Mode Decomposition

The state-of-the-art algorithm known as kernel-based dynamic mode decomp...
10/30/2017 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Optimal Low-Rank Dynamic Mode Decomposition

Dynamic Mode Decomposition (DMD) has emerged as a powerful tool for anal...
01/04/2017 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial-Time

This work studies the linear approximation of high-dimensional dynamical...
10/10/2016 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Reduced-Order Modeling Of Hidden Dynamics

The objective of this paper is to investigate how noisy and incomplete o...
10/08/2015 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model

In this work, we propose a novel procedure for video super-resolution, t...
06/01/2015 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Supervised learning on graphs of spatio-temporal similarity in satellite image sequences

High resolution satellite image sequences are multidimensional signals c...
09/19/2007 ∙ by Patrick Héas, et al. ∙ 0 ∙ share

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Patrick Héas

Featured Co-authors

Cédric Herzet

Mihai Datcu

Angélique Drémeau

Benoit Combes

Generalized Kernel-Based Dynamic Mode Decomposition

Low-rank Approximation of Linear Maps

Adapting Reduced Models in the Cross-Entropy Method

Optimal Kernel-Based Dynamic Mode Decomposition

Optimal Low-Rank Dynamic Mode Decomposition

Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial-Time

Reduced-Order Modeling Of Hidden Dynamics

An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model

Supervised learning on graphs of spatio-temporal similarity in satellite image sequences