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Contributions to Modelling Extremes of Spatial Data

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Time-lag in Derivative Convergence for Fixed Point Iterations

Daniel Kressner

In an earlier study it was proven and experimentally confirmed on a 2D Euler code that fixed point iterations can be differentiated to yield first and second order derivatives of implicit functions that are defined by state equations. It was also asserted ...

2005

Building trust-aware P2P systems

Zoran Despotovic

This thesis is concerned with enabling e-commerce applications in decentralized environments, P2P networks in particular. The work goes along the following two dimensions: P2P reputation systems design and building P2P e-commerce services and applications. ...

EPFL2005

Heterosubstituted or functionalized derivatives of 1- and 2-(trifluoromethyl)naphthalenes emanating from aryne adducts

Frédéric Bailly, Fabrice Cottet

More than two dozen new CF3-substituted naphthalene derivs. were prepd. in an expedient way by employing 3- and 4-(trifluoromethyl)benzyne as the key intermediates. 2- And 4-Chlorobenzotrifluoride were treated with butyllithium and the organometallic speci ...

2005

Audio-visual probabilistic tracking of multiple speakers in meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meetin ...

IDIAP2005

Semiparametric Latent Factor Models

Matthias Seeger

We propose a semiparametric model for regression and classification problems involving multiple response variables. The model makes use of a set of Gaussian processes to model the relationship to the inputs in a nonparametric fashion. Conditional dependenc ...

2005

Multimodal Multispeaker Probabilistic Tracking in Meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

2005

Un modèle factoriel dynamique pour séries temporelles

Andrei Zenide

This work deals with factorial models for multiple time series. Its core content puts it at the interface between statistics and finance. After a brief description of the historical link between the two sciences, it reviews the literature on factorial mode ...

EPFL2004

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004

Gaussian Processes for Machine Learning

Matthias Seeger

Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical an ...

World Scientific Publishing2004

Multimodal Multispeaker Probabilistic Tracking in Meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

IDIAP2004