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Software 1

Project: CHiPS

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Videos

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Discrete gradient methods for solving variational image regularisation models

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Project acronym CHiPS

Duality in refined Sobolev–Malliavin spaces and weak approximation of SPDE

Project: CHiPS

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Learning Filter Functions in Regularisers by Minimising Quotients

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Gradient flows: from theory to application

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Nonlinear Spectral Image Fusion

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Case study/Convergence/Continuous model

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Reports HOsC

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Workshops organized by UCAM

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Reports on algebraic combinatorics

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Talks 2

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Full Discretization of Semilinear Stochastic Wave Equations Driven by Multiplicative Noise

Project: CHiPS

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Project acronym CHiPS

Weak error analysis for semilinear stochastic Volterra equations with additive noise

Project: CHiPS

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Project acronym CHiPS

Weak convergence for a spatial approximation of the nonlinear stochastic heat equation

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Numerical Solution of Parabolic Problems Based on a Weak Space-Time Formulation

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

A Weak Space-Time Formulation for the Linear Stochastic Heat Equation

Project: CHiPS

Updated at: 28-04-2024

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8. Bilevel approaches for learning of variational imaging models

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Project: CHiPS

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Project acronym CHiPS

Infimal Convolution Regularisation Functionals of BV and $$\varvec{\mathrm {L}}^{\varvec{p}}$$ L p Spaces

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

The structure of optimal parameters for image restoration problems

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in I...

Project: CHiPS

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Project acronym CHiPS

Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models

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Project acronym CHiPS

The Joy and Pain of Skew Symmetry

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Three classes of quadratic vector fields for which the Kahan discretization is the root of a generalised Manin transform...

Project: CHiPS

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Project acronym CHiPS

Efficient methods for linear Schrödinger equation in the semiclassical regime with time-dependent potential

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in i...

Project: CHiPS

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Project acronym CHiPS

Shape analysis on Lie groups with applications in computer animation

Project: CHiPS

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Geometry of matrix decompositions seen through optimal transport and information geometry

Project: CHiPS

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Geometry of Discrete-Time Spin Systems

Project: CHiPS

Updated at: 28-04-2024

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Project acronym CHiPS

Resources

Selected filters:

Software 1

Videos

Discrete gradient methods for solving variational image regularisation models

Duality in refined Sobolev–Malliavin spaces and weak approximation of SPDE

Learning Filter Functions in Regularisers by Minimising Quotients

Gradient flows: from theory to application

Nonlinear Spectral Image Fusion

Case study/Convergence/Continuous model

Reports HOsC

Workshops organized by UCAM

Reports on algebraic combinatorics

Talks 2

Full Discretization of Semilinear Stochastic Wave Equations Driven by Multiplicative Noise

Weak error analysis for semilinear stochastic Volterra equations with additive noise

Weak convergence for a spatial approximation of the nonlinear stochastic heat equation

Numerical Solution of Parabolic Problems Based on a Weak Space-Time Formulation

A Weak Space-Time Formulation for the Linear Stochastic Heat Equation

8. Bilevel approaches for learning of variational imaging models

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Infimal Convolution Regularisation Functionals of BV and $$\varvec{\mathrm {L}}^{\varvec{p}}$$ L p Spaces

The structure of optimal parameters for image restoration problems

Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in I...

Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models

The Joy and Pain of Skew Symmetry

Three classes of quadratic vector fields for which the Kahan discretization is the root of a generalised Manin transform...

Efficient methods for linear Schrödinger equation in the semiclassical regime with time-dependent potential

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in i...

Shape analysis on Lie groups with applications in computer animation

Geometry of matrix decompositions seen through optimal transport and information geometry

Geometry of Discrete-Time Spin Systems