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Publications associées (274)

Class-specific classifiers in audio-visual speech recognition

Jean-Philippe Thiran, Virginia Estellers Casas

Class-specific classifiers for audio, visual and audio-visual speech recognition systems are developed and compared with traditional classifiers. We use state- of-the-art feature extraction methods and show the benefits of a class-specific classifier on ea ...

2010

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition

Oya Aran

Fisher kernels combine the powers of discriminative and generative classifiers by mapping the variable-length sequences to a new fixed length feature space, called the Fisher score space. The mapping is based on a single generative model and the classifier ...

2010

Does perceptual learning suffer from retrograde interference?

Michael Herzog, Carl Kristoffer Aberg

In motor learning, training a task B can disrupt improvements of performance of a previously learned task A, indicating that learning needs consolidation. An influential study suggested that this is the case also for visual perceptual learning [1]. Using t ...

Public Library of Science2010

Disrupting Perceptual Learning

Carl Kristoffer Aberg

Perceptual learning is learning to perceive and is essential for all forms of perception and learning. For a long time it was believed that perceptual learning was a simple process suitable as a model for studying general mechanism of learning. Researchers ...

EPFL2010

Robot Reinforcement Learning using EEG-based reward signals

Inaki Asier Iturrate Gil

Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These reward signals are usually modeled by the programmer or provided by supervision. However, ...

2010

Hierarchical Multilayer Perceptron based Language Identification

Hervé Bourlard, David Imseng

Automatic language identification (LID) systems generally exploit acoustic knowledge, possibly enriched by explicit language specific phonotactic or lexical constraints. This paper investigates a new LID approach based on hierarchical multilayer perceptron ...

Idiap2010

Hierarchical Multilayer Perceptron based Language Identification

Hervé Bourlard, David Imseng

2010

Decoding of attention deployment

Michael Herzog, Gijs Plomp, Yvonne Evelina Thunell

Attending to an object can strongly modulate the neural processing of this object. Using average EEG, it was shown that small differences in the focus of attention yield large and long lasting changes in brain dynamics (Plomp et al, 2009). Here, we show th ...

2010

Sleep and Wake Classification With ECG and Respiratory Effort Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method for the online classification of sleep/wake states based on cardiorespiratory signals produced by wearable sensors. The method was conceived in view of its applicability to a wearable sleepiness monitoring device. The method uses a Fas ...

2009

Evolutionary Selection of Features for Neural Sleep/Wake Discrimination

Dario Floreano, Claudio Mattiussi, Walter Karlen, Peter Dürr, Jérémie Guignard

In biomedical signal analysis, artificial neural networks are often used for pattern classification because of their capability for nonlinear class separation and the possibility to efficiently implement them on a microcontroller. Typically, the network to ...

Hindawi Publishing Corporation2009

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