Publications associées à Multiresolution Subdivision Snakes

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Multiresolution Subdivision Snakes

Graph Chatbot

Chattez avec Graph Search

Analytical prediction of the final error due to noise in a ϕ-OTDR system

On Linear Interpolation in the Latent Space of Deep Generative Models

Functional Tucker Approximation Using Chebyshev Interpolation

Examining the Effects of Privacy-Aware Blended Learning Scenarios in Executive Training for Policymakers and Government Officials

Systematic analysis of wavelet denoising methods for neural signal processing

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

Sampling and Reconstruction of Shapes with Algebraic Boundaries

A Family of Smooth and Interpolatory Basis Functions for Parametric Curve and Surface Representation

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Examining the Effects of Privacy-Aware Blended Learning Scenarios in Executive Training for Policymakers and Government Officials

Functional Tucker Approximation Using Chebyshev Interpolation

On Linear Interpolation in the Latent Space of Deep Generative Models

Systematic analysis of wavelet denoising methods for neural signal processing

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Analytical prediction of the final error due to noise in a ϕ-OTDR system

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

A Family of Smooth and Interpolatory Basis Functions for Parametric Curve and Surface Representation

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points