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The Impact of Changes in Resolution on the Persistent Homology of Images

Publications associées (32)

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SHOCK IMPACT OF HIGH ENERGY/INTENSITY BEAMS WITH MATTER AND HIGH ENERGY DENSITY PHYSICS

Juan Blanco Sancho, Rudiger Schmidt

The purpose of this study is to assess the damage caused to the equipment (beamdump, collimators etc) in case of an accident involving full impact of the LHC beam. First, the FLUKA code [1] is used to calculate the proton energy loss in solid carbon and th ...

2010

Learning in Gaussian Markov random fields

Thomas Riedl

This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown parameter. Thus in order to support the state estimator with prior information o ...

2010

One Step Impulse Radio Ultra-WideBand Positioning Algorithm

Jean-Yves Le Boudec, John Farserotu, Hai Zhan

We consider the problem of positioning estimation with impulse radio (IR) ultra-wideband (UWB) radio under dense multipaths and additive Gaussian noise environments. Most popular positioning algorithms first estimate certain parameters (such as time of arr ...

IEEE2009

A Novel Bayesian Impulse Radio Ultra-WideBand Ranging Algorithm

Jean-Yves Le Boudec, John Farserotu, Hai Zhan

We consider the problem of ranging with Impulse Radio (IR) Ultra-WideBand (UWB) radio under weak Line Of Sight (LOS) environments and additive Gaussian noise. We use a Bayesian approach where the prior distribution of the channel follows the IEEE 802.15.4a ...

IEEE2009

Saddlepoint approximation for mixture models

Anthony Christopher Davison

Two-component mixture distributions with one component a point mass and the other a continuous density may be used as priors for Bayesian inference when sparse representation of an underlying signal is required. We show how saddlepoint approximation in suc ...

2009

A MAP Approach to Noise Compensation of Speech

Philip Neil Garner

We show that estimation of parameters for the popular Gaussian model of speech in noise can be regularised in a Bayesian sense by use of simple prior distributions. For two example prior distributions, we show that the marginal distribution of the uncorrup ...

Idiap2009

Novel Algorithms on Impulse Radio Ultra-WideBand Ranging

Jean-Yves Le Boudec, John Farserotu, Hai Zhan

We consider the problem of ranging with impulse radio (IR) ultra-wideband (UWB) radio under dense multipaths propagation environments and additive Gaussian noise. We propose a Bayesian detection algorithm where the prior distribution of the channel follows ...

IEEE2009

SHAPE PRIOR BASED ON STATISTICAL MAP FOR ACTIVE CONTOUR SEGMENTATION

Jean-Philippe Thiran, Valérie Duay, Alia Lemkaddem, Nawal Houhou

We propose a new method for performing active contour segmentation based on the statistical prior knowledge of the object to detect. From a binary training set of objects, a statistical map describes the possible shapes of the object by computing the proba ...

2008

Uncertainty in prediction of disinfection performance

Urs von Gunten

Predicting the disinfection performance of a full-scale reactor in drinking water treatment is associated with considerable uncertainty. In view of quantitative risk analysis, this study assesses the uncertainty involved in predicting inactivation of Crypt ...

2007

Characterization of microcapsules

Jutta Christine Wandrey, David Hunkeler

A review on the methods of characterization of multicomponent microcapsules. Requirements to measure the ingress and egress of small and macromols. through the membrane are discussed, along with the relevant theory. The relevant factors to consider in micr ...

2004