Advances in independent component analysis and learning machines

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bingham, Ella, Kaski, Samuel, Laaksonen, Jorma, Lampinen, Jouko
Lenguaje:eng
Publicado: Academic Press 2015
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2024888
_version_ 1780947166797234176
author Bingham, Ella
Kaski, Samuel
Laaksonen, Jorma
Lampinen, Jouko
author_facet Bingham, Ella
Kaski, Samuel
Laaksonen, Jorma
Lampinen, Jouko
author_sort Bingham, Ella
collection CERN
description 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 algorithmUnsupervised deep learning Machine vision and image retrieval A review of developments in the t
id cern-2024888
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Academic Press
record_format invenio
spelling cern-20248882021-04-21T20:11:14Zhttp://cds.cern.ch/record/2024888engBingham, EllaKaski, SamuelLaaksonen, JormaLampinen, JoukoAdvances in independent component analysis and learning machinesComputing and ComputersIn 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 algorithmUnsupervised deep learning Machine vision and image retrieval A review of developments in the tAcademic Pressoai:cds.cern.ch:20248882015
spellingShingle Computing and Computers
Bingham, Ella
Kaski, Samuel
Laaksonen, Jorma
Lampinen, Jouko
Advances in independent component analysis and learning machines
title Advances in independent component analysis and learning machines
title_full Advances in independent component analysis and learning machines
title_fullStr Advances in independent component analysis and learning machines
title_full_unstemmed Advances in independent component analysis and learning machines
title_short Advances in independent component analysis and learning machines
title_sort advances in independent component analysis and learning machines
topic Computing and Computers
url http://cds.cern.ch/record/2024888
work_keys_str_mv AT binghamella advancesinindependentcomponentanalysisandlearningmachines
AT kaskisamuel advancesinindependentcomponentanalysisandlearningmachines
AT laaksonenjorma advancesinindependentcomponentanalysisandlearningmachines
AT lampinenjouko advancesinindependentcomponentanalysisandlearningmachines

Ejemplares similares