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Gradient estimates of return

Publications associées (32)

An optimal error nonlinearity for robust adaptation against impulsive noise

Ali H. Sayed, Ali Zoubir

The least-mean squares algorithm is non-robust against impulsive noise. Incorporating an error nonlinearity into the update equation is one useful way to mitigate the effects of impulsive noise. This work develops an adaptive structure that parametrically ...
IEEE2013

Estimation of displacement derivatives in digital holographic interferometry using a two-dimensional space-frequency distribution

Pramod Rastogi, Sai Siva Gorthi

The paper introduces a two-dimensional space-frequency distribution based method to directly obtain the unwrapped estimate of the phase derivative which corresponds to strain in digital holographic interferometry. In the proposed method, a two-dimensional ...
Optical Society of America2010

Intégration énergétique d’un procédé agroalimentaire à l’aide de la plateforme internet PinchLight

Benjamin Laulan

Résumé : Les procédés agroalimentaires sont des procédés industriels consommateurs de grandes quantités d’énergie, aussi bien de refroidissement que de chauffage. Il est donc intéressant d’optimiser cette consommation. L’analyse pinch, méthode systématique ...
2010

Diffusion adaptive networks with changing topologies

Ali H. Sayed

daptive networks (AN) have been recently proposed to address distributed estimation problems [1]–[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with general distributions ...
IEEE2008

Crystallisation of calcium hydroxide in early age model and ordinary cementitious systems

Karen Scrivener, Emmanuel Gallucci

The distribution and morphology of CH particles in various cementitious systems was investigated to determine which parameters influence their nucleation and growth. Morphological image analysis of SEM-BSE images of polished cross-sections was used to meas ...
2007

A Discriminative Approach for the Retrieval of Images from Text Queries

Samy Bengio, David Grangier, Florent Monay Michaud

This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative approach: the parameters are selected in order to minimize a loss related to the ranking performance of t ...
IDIAP2006

A Discriminative Approach for the Retrieval of Images from Text Queries

Samy Bengio, David Grangier, Florent Monay Michaud

This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are selected in order to minimize a loss related to the ranking performance of the ...
2006

Analytic Determination of Scaling Parameters

Rüdiger Urbanke, Abdelaziz Amraoui, Andrea Montanari

We show that the finite-length scaling parameters for irregular LDPC codes when used over the binary erasure channel can be computed without resorting to ``covariance evolution''. We provide simple expressions that can be evaluated using solely the degree ...
2006

Probabilistic Tagging of Unstructured Genealogical Records

Michael Perrow

In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives. The string `Stephanus, brother of Johannes Magnin, from Saillon' is a typical example of a record. We wish to annotate every t ...
IDIAP2005

Mixture models for multivariate extremes

Marc-Olivier Boldi

This thesis is a contribution to multivariate extreme value statistics. The tail of a multivariate distribution function is characterized by its spectral distribution, for which we propose a new semi-parametric model based on mixtures of Dirichlet distribu ...
EPFL2004

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