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Advances in Independent Component Analysis and Learning Machines
Hardcover
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9780128028063
Publisher: Academic Pr Inc
Published: Apr 23 2015
Pages: 328
Weight: 1.85
Height: 1.10 Width: 7.50 Depth: 9.30
Language: English
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
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