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MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

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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

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Graph Chatbot

Chattez avec Graph Search

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Learning-based subsampling

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Shapes from Pixels

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

BDD Minimization for Approximate Computing

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

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

Generalized Poisson Summation Formula for Tempered Distributions

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Shapes from Pixels

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

Generalized Poisson Summation Formula for Tempered Distributions

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

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

Learning-based subsampling

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

BDD Minimization for Approximate Computing