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

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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

Graph Chatbot

Chattez avec Graph Search

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

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

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

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

Sampling and Reconstruction of Shapes with Algebraic Boundaries

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

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

A consensus algorithm for networks with process noise and quantization error