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Publications associées (6)

On some graph-based two-sample tests for high dimension, low sample size data

Testing for equality of two high-dimensional distributions is a challenging problem, and this becomes even more challenging when the sample size is small. Over the last few decades, several graph-based two-sample tests have been proposed in the literature, ...

SPRINGER2020

Scalable Feature Extraction for Coarse-to-Fine JPEG2000 Image Classification

Pierre Vandergheynst, Christophe De Vleeschouwer, Benoît Macq

In this paper, we address the issues of analyzing and classifying JPEG 2000 code-streams. An original representation, called integral volume, is first proposed to compute local image features progressively from the compressed code-stream, on any spatial im ...

Institute of Electrical and Electronics Engineers2011

Development and application of objective uncertainty measures for nuclear power plant transient analysis

Paolo Vinai

For the development, design and licensing of a nuclear power plant (NPP), a sound safety analysis is necessary to study the diverse physical phenomena involved in the system behaviour under a wide range of operational and transient conditions. Such studies ...

EPFL2007

Benchmarking Non-Parametric Statistical Tests

Samy Bengio, Mikaela Keller

Although non-parametric tests have already been proposed for that purpose, statistical significance tests for non-standard measures (different from the classification error) are less often used in the literature. This paper is an attempt at empirically ver ...

IDIAP2005

Benchmarking Non-Parametric Statistical Tests

Samy Bengio, Mikaela Keller

2005

Computer-intensive statistical methods

Diego Kuonen

The saddlepoint approximation was introduced into statistics in 1954 by Henry E. Daniels. This basic result on approximating the density function of the sample mean has been generalized to many situations. The accuracy of this approximation is very good, p ...

EPFL2001

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