ESANN 2013: Bruges, Belgium

Machine Learning Methods for Processing and Analysis of Hyperspectral Data

Recurrent networks and modeling

Dimensionality reduction

Image, signal and time series analysis

Feature selection

Reinforcement learning, control and optimization

Machine Learning for multimedia applications


Regression and forecasting

Developments in kernel design

Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments


Sparsity for interpretation and visualization in inference models

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