Independent Component Analysis
en-de
en-es
en-fr
en-sl
en
en-zh
0.25
0.5
0.75
1.25
1.5
1.75
2
The course provides an introduction to independent component analysis and source separation. We start from simple statistical principles; examine connections to information theory and to sparse coding; we give an overview of available algorithmics; we also show how several key ideas of ICA are illuminated by information geometry.