Data & IT
Advances in Independent Component Analysis and Learning Machines
Ella Bingham • Samuel Kaski • Jorma Laaksonen • Jouko Lampinen
Inbunden
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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
- Format: Inbunden
- ISBN: 9780128028063
- Språk: Engelska
- Antal sidor: 328
- Utgivningsdatum: 2015-04-15
- Förlag: Elsevier Science Publishing Co Inc