In honour of Professor Erkki Oja, one of the pioneers of
Independent Component Analysis (ICA), this book reviews key
advances in the theory and application of ICA, as well as its
influence on signal processing, pattern recognition, machine
learning, and data mining. Examples of topics which have developed
from the advances of ICA, which are covered in the book are: A
unifying probabilistic model for PCA and ICA Optimization methods
for matrix decompositions Insights into the FastICA algorithm
Unsupervised deep learning Machine vision and image retrieval
General
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