Publications related to Expected value

Creating Probabilistic Databases from Imprecise Time-Series Data

Karl Aberer, Saket Sathe, Ho Young Jeung

Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to the lack of means for creating probabilistic databases. In fact, it is a challenging ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Benoit Mory

To cope with a variety of clinical applications, research in medical image processing has led to a large spectrum of segmentation techniques that extract anatomical structures from volumetric data acquired with 3D imaging modalities. Despite continuing adv ...

EPFL2011

Predicting Usefulness of Measuring Structures during Load Tests

Ian Smith, James-Alexandre Goulet

This paper presents an approach for model identifiability that builds upon recent research into measurement data interpretation. The objective of this approach is to determine probabilistically to what degree the number of models able to explain a measured ...

2010

A Network Based Kernel Density Estimator Applied to Barcelona Economic Activities

Stéphane Joost, Emanuele Strano, Timothée Produit, Nicolas Lachance-Bernard

This paper presents a methodology to compute an innovative density indicator of spatial events. The methodology is based on a modified Kernel Density Estimator (KDE) that operates along road networks, and named Network based Kernel Density Estimator (NetKD ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Expected loss analysis of thresholded authentication protocols in noisy conditions

Serge Vaudenay, Christos Dimitrakakis, Aikaterini Mitrokotsa

A number of authentication protocols have been proposed recently, where at least some part of the authentication is performed during a phase, lasting

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rounds, with no error correction. This requires assigning an acceptable threshold for the number of de ...

2010

Nonnegative Matrix Factorization and Spatial Covariance Model for Under-Determined Reverberant Audio Source Separation

Pierre Vandergheynst, Rémi Gribonval

We address the problem of blind audio source separation in the under-determined and convolutive case. The contribution of each source to the mixture channels in the time-frequency domain is modeled by a zero-mean Gaussian random vector with a full rank cov ...

2010

Impulse Radio Ultra-Wideband Ranging Algorithm under Multi User Environments

Jean-Yves Le Boudec, John Farserotu, Hai Zhan

Practical impulse radio ultra-wideband (IR-UWB) ranging systems always have to work in multi-user and weak non-line-of-sight (NLOS) environments. In this paper, we derive a novel IR-UWB ranging estimator under multi-user and weak NLOS environments. We mode ...

IEEE2009

Iterative estimation of sparse and doubly-selective multi-input multi-output (MIMO) channel

Thomas Riedl

The estimation of doubly-selective channels is challenging since long channel impulse response should be estimated with a fast tracking speed. Provided that a structure of the channel response is sparse, i.e., only a few of channel gains are nonzero, a tra ...

2009

Fracture toughness master-curve analysis of the tempered martensitic steel Eurofer97

Philippe Spätig, Raul Alejandro Bonadé, Pablo Federico Mueller

We report fracture toughness data for the reduced activation tempered martensitic steel Eurofer97 in the lower to middle transition region. The fracture toughness was measured from tests carried out on 0.35T and 0.87T pre-cracked compact tension specimens. ...

Elsevier2009

Anticipation based Brain-Computer Interfacing (aBCI)

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Gangadhar Garipelli

Abstract—Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Previous off-line studies have shown the possibility of exploiting this activation for a Brain-Computer Interface (BCI) using e ...

2009

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Creating Probabilistic Databases from Imprecise Time-Series Data

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Predicting Usefulness of Measuring Structures during Load Tests

A Network Based Kernel Density Estimator Applied to Barcelona Economic Activities

Expected loss analysis of thresholded authentication protocols in noisy conditions

Nonnegative Matrix Factorization and Spatial Covariance Model for Under-Determined Reverberant Audio Source Separation

Impulse Radio Ultra-Wideband Ranging Algorithm under Multi User Environments

Iterative estimation of sparse and doubly-selective multi-input multi-output (MIMO) channel

Fracture toughness master-curve analysis of the tempered martensitic steel Eurofer97

Anticipation based Brain-Computer Interfacing (aBCI)

Expected loss analysis of thresholded authentication protocols in noisy conditions

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Nonnegative Matrix Factorization and Spatial Covariance Model for Under-Determined Reverberant Audio Source Separation

A Network Based Kernel Density Estimator Applied to Barcelona Economic Activities

Impulse Radio Ultra-Wideband Ranging Algorithm under Multi User Environments

Predicting Usefulness of Measuring Structures during Load Tests

Anticipation based Brain-Computer Interfacing (aBCI)

Creating Probabilistic Databases from Imprecise Time-Series Data

Fracture toughness master-curve analysis of the tempered martensitic steel Eurofer97

Iterative estimation of sparse and doubly-selective multi-input multi-output (MIMO) channel