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From error probability to information theoretic signal and image processing

Related publications (201)

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A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Reliability of computational science

Fabio Nobile

Today's computers allow us to simulate large, complex physical problems. Many times the mathematical models describing such problems are based on a relatively small amount of available information such as experimental measurements. The question arises whet ...

Wiley-Blackwell2007

Subtree-based bounds and simulation-based estimations for the partition function

Mehdi Molkaraie

Many different algorithms developed in statistical physics, coding theory, signal processing, and artificial intelligence can be expressed by graphical models and solved (either exactly or approximately) with iterative message-passing algorithms on the mod ...

EPFL2007

Bayesian machine learning applied in a brain-computer interface for disabled users

Ulrich Hoffmann

A brain-computer interface (BCI) is a system that enables control of devices or communication with other persons, only through cerebral activity, without using muscles. The main application for BCIs is assistive technology for disabled persons. Examples fo ...

EPFL2007

Relevant Feature Selection for Audio-Visual Speech Recognition

Jean-Philippe Thiran, Mihai Gurban, Thomas Drugman

We present a feature selection method based on information theoretic measures, targeted at multimodal signal processing, showing how we can quantitatively assess the relevance of features from different modalities. We are able to find the features with the ...

2007

Learning Multi-Modal Dictionaries

Pierre Vandergheynst, Rémi Gribonval, Gianluca Monaci, Philippe Jost

Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world. This par ...

2007

On the modelling of multi-modal data using redundant dictionaries

Gianluca Monaci

EPFL2007

Forensic Automatic Speaker Recognition

Andrzej Drygajlo

The existence of highly developed and fully automated telephone networks in industrialized countries and the pervasiveness of speech communication technology have resulted in the ever-increasing use of the human voice as an instrument in the commission of ...

2007

Prior Knowledge in Kernel Methods

Alexei Pozdnoukhov

Machine Learning is a modern and actively developing field of computer science, devoted to extracting and estimating dependencies from empirical data. It combines such fields as statistics, optimization theory and artificial intelligence. In practical task ...

École Polytechnique Fédérale de Lausanne2006

Prior knowledge in Kernel methods

Alexei Pozdnoukhov

EPFL2006