Advances in Independent Component Analysis and Learning Machines 9780128028063

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Автор: Ella Bingham
Название: Advances in Independent Component Analysis and Learning Machines
ISBN: 9780128028063
Издательство: Elsevier Science
Классификация:

Машинное обучение

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ISBN-10: 0128028068
Обложка/Формат: Hardback
Страницы: 395
Вес: 0.86 кг.
Дата издания: 15.04.2015
Язык: English
Размер: 199 x 244 x 19
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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

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

Advances in Independent Component Analysis and Learning Machines, Ella Bingham