Machine Learning for Signal Processing - International workshop, 2-4 september, Grenoble
Machine learning is devoted to design of algorithms able to learn from empirical data. This approach is especially important in advanced signal and image processing, in which sets of sensors, usually large and heterogeneous, provide a huge amount of data, usually noisy.