Ella Bingham & Samuel Kaski 
Advances in Independent Component Analysis and Learning Machines [EPUB ebook] 

الدعم

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 Fast ICA algorithm- Unsupervised deep learning- Machine vision and image retrieval- A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning- A diverse set of application fields, ranging from machine vision to science policy data- Contributions from leading researchers in the field

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لغة الإنجليزية ● شكل EPUB ● ISBN 9780128028070 ● محرر Ella Bingham & Samuel Kaski ● الناشر Elsevier Science ● نشرت 2015 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 5657145 ● حماية النسخ Adobe DRM
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