ROBOTICS & AUTOMATION
Empowering Progress
Up to 25% off Essentials Robotics and Automation titles

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 it… Read more
ROBOTICS & AUTOMATION
Up to 25% off Essentials Robotics and Automation titles
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:
University and industry researchers applying independent component analysis in the fields of pattern recognition, signal and image processing, medical imaging and telecommunications.
Part I: Methods
Chapter 1: The initial convergence rate of the FastICA algorithm: The “One-Third Rule”
Chapter 2: Improved variants of the FastICA algorithm
Chapter 3: A unified probabilistic model for independent and principal component analysis
Chapter 4: Riemannian optimization in complex-valued ICA
Chapter 5: Nonadditive optimization
Chapter 6: Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning
Chapter 7: Unsupervised deep learning: A short review
Chapter 8: From neural PCA to deep unsupervised learning
Part II: Applications
Chapter 9: Two decades of local binary patterns: A survey
Chapter 10: Subspace approach in spectral color science
Chapter 11: From pattern recognition methods to machine vision applications
Chapter 12: Advances in visual concept detection: Ten years of TRECVID
Chapter 13: On the applicability of latent variable modeling to research system data
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