Signal and Image Classification - lecture by Stephane Mallat of École Normale Supérieure, Paris at the TCE conference 2014 at Technion-Israel Institute of Technology Signals and images are very high dimensional with a considerable variability. Their classification is facing a curse of dimensionality, which potentially requires a number of training examples which grows exponentially with the signal dimension. To avoid this wall, we need to find structures allowing to reduce the problem dimensionality
Hide player controls
Hide resume playing