Publication

Statistical comparison of the performance of data-based models for sewer condition modeling

Publications associées (41)

Environmental Monitoring 2.0

Karl Aberer, Marc Parlange, Guillermo Barrenetxea Kobas, Mathias Thierry Pierre Bavay, Sebastian Michel, Ali Salehi

A sensor network data gathering and visualization infrastructure is demonstrated, comprising of Global Sensor Networks (GSN) middleware and Microsoft SensorMap. Users are invited to actively participate in the process of monitoring real-world deployments a ...

ICDE2009

Graphical display for annual climate-based daylight simulation

Marilyne Andersen, Magali Bodart

Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...

2008

Exploiting the anisotropy of anomalous scattering boosts the phasing power of SAD and MAD experiments

The X-ray polarization anisotropy of anomalous scattering in crystals of brominated nucleic acids and selenated proteins is shown to have signiﬁcant effects on the diffraction data collected at an absorption edge. For conventionally collected single- or mu ...

2008

The Snakuscule

Michaël Unser, Philippe Thévenaz

Traditional snakes, or active contours, are planar parametric curves. Their parameters are determined by optimizing the weighted sum of three energy terms: one depending on the data (typically on the integral of its gradient under the curve, or on its inte ...

IEEE2006

Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models

Samy Bengio, Alessandro Vinciarelli

This paper presents a system for the offline recognition of large vocabulary unconstrained handwritten texts. The only assumption made about the data is that it is written in English. This allows the application of Statistical Language Models in order to i ...

2004

Integrated Wavelet Processing and Spatial Statistical Testing of fMRI Data

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

We introduce an integrated framework for detecting brain activity from fMRI data, which is based on a spatial discrete wavelet transform. Unlike the standard wavelet-based approach for fMRI analysis, we apply the suitable statistical test procedure in the ...

Elsevier2004

Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models

Samy Bengio, Alessandro Vinciarelli

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filters are now established as the most popular method for visual tracking. Within this framework, it is generally assumed that the data are temporally independent given the sequence of object states. In this paper, we argue that in general the da ...

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Springer Verlag2003

Optimal weights of evidence with bounded influence

Stephan Morgenthaler, Robert Staudte

A fundamental statistical problem is to indicate which of two hypotheses is better supported by the data. Statistics designed for this purpose are called weight of evidence. In this paper we study the problem of robust weights of evidence, optimal in their ...

2002

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