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A weighted empirical interpolation method: a priori convergence analysis and applications

Publications associées (55)

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Stationary Features and Cat Detection

François Fleuret

Most discriminative techniques for detecting instances from object categories in still images consist of looping over a partition of a pose space with dedicated binary classifiers. The efficiency of this strategy for a complex pose, i.e., for fine-grained ...

IDIAP2007

Probabilistic analysis of turbulent structures from two-dimensional plasma imaging

Ambrogio Fasoli, Ivo Furno, Benoît Labit, Mario Ludovico Podesta, Francesca Maria Poli, Gennady Plyushchev

A method is presented to construct object-related structure observables, such as size, mass, shape, and trajectories from two-dimensional plasma imaging data. The probability distributions of these observables, deduced from measurements of many realization ...

2006

Statistical description of sediment transport experiments

Christophe Ancey, Peter Frey

A longstanding problem in the study of sediment transport in gravel-bed rivers is related to the physical mechanisms governing bed resistance and particle motion. To study this problem, we investigated the motion of coarse spherical glass beads entrained b ...

2006

Gradient estimates of return distributions

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distributions over actions in value-based reinforcement learning. While this approach is simi ...

2005

Chemical shift correlations in disordered solids

David Lyndon Emsley

We show how two-dimensional chemical shift conditional probability distributions can be extracted from experimental NMR correlation spectra of disordered solids. We show that transverse dephasing times are of central importance in determining the resolutio ...

AMER CHEMICAL SOC2005

Estimates of Parameter Distributions for Optimal Action Selection

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distribution over actions in value-based reinforcement learning. While this approach is simil ...

IDIAP2004

On the drainage density of tidal networks

Andrea Rinaldo

The drainage density of a network is conventionally defined as (proportional to) the ratio of its total channelized length divided by the watershed area, and in practice, it is defined by the statistical distribution and correlation structure of the length ...

2003

Fuzzy Systems with Overlapping Gaussian Concepts: Approximation Properties in Sobolev Norms

Giancarlo Ferrari Trecate

In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are considered. The target function is assumed to be sampled either on a regular gird or according to a uniform probability density. By exploiting a connection ...

2002

Transient analysis of adaptive filters

Ali H. Sayed

This paper develops a framework for the mean-square analysis of adaptive filters with general data and error nonlinearities. The approach relies on energy conservation arguments and is carried out without restrictions on the probability distribution of the ...

IEEE2001

Power law size distribution of supercritical random trees

Paolo De Los Rios

The probability distribution P(k) of the sizes k of critical trees ( branching ratio m = 1) is well known to show a power law behavior k(-3/2). Such behavior corresponds to the mean-field approximation for many critical and self-organized critical phenomen ...

EDP Sciences2001