Sparse Modelling of Data and its Relation to Deep Learning
November 27, 2018.
EUVIP 2018, Tampere, Finland

Sparse approximation is a well-established theory, with a profound impact on the fields of signal and image processing. In this talk we start by presenting this model, and then turn to describe two special cases of it – the convolutional sparse coding (CSC) and its multi-layered version (ML-CSC). Amazingly, as we will carefully show, ML-CSC provides a solid theoretical foundation to … deep-learning. This talk is meant for newcomers to these fields – no prior knowledge on sparse approximation is assumed.

This is a KEYNOTE talk in EUVIP 2018.