Publications associées à Motion likelihood and proposal modeling in Model-Based Stochastic Tracking

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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

Motion likelihood and proposal modeling in Model-Based Stochastic Tracking

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PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

How does one compute the noise power to simulate real and complex GNSS signals?

Sampling and Reconstruction of Shapes with Algebraic Boundaries

A consensus algorithm for networks with process noise and quantization error

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

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

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

How does one compute the noise power to simulate real and complex GNSS signals?

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

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

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

A consensus algorithm for networks with process noise and quantization error

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

Sampling and Reconstruction of Shapes with Algebraic Boundaries