Advances in Independent Component Analysis and Learning Machines

Ella Bingham; Samuel Kaski; Jorma Laaksonen; Jouko Lampinen

doi:10.1016/C2014-0-02754-2

Advances in Independent Component Analysis and Learning Machines

Ella Bingham (Toimittaja), Samuel Kaski (Toimittaja), Jorma Laaksonen (Toimittaja), Jouko Lampinen (Toimittaja)

Tietotekniikan laitos

Tutkimustuotos: Kirja › Anthology › Scientific › vertaisarvioitu

Abstrakti

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

Alkuperäiskieli	Englanti
Julkaisupaikka	Academic Press
Kustantaja	Elsevier
ISBN (painettu)	9780128028063
DOI - pysyväislinkit	https://doi.org/10.1016/C2014-0-02754-2
Tila	Julkaistu - 2015
OKM-julkaisutyyppi	C2 Toimitettu kirja, kokoomateos, konferenssijulkaisu tai lehden erikoisnumero

Pääsy asiakirjaan

10.1016/C2014-0-02754-2

Muut tiedostot ja linkit

http://store.elsevier.com/Advances-in-Independent-Component-Analysis-and-Learning-Machines/isbn-9780128028063/

Siteeraa tätä

@book{ad711e6d0ef34ee58b7c17dd2d7d7253,

title = "Advances in Independent Component Analysis and Learning Machines",

abstract = "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",

editor = "Ella Bingham and Samuel Kaski and Jorma Laaksonen and Jouko Lampinen",

note = "VK: Karhunen, J.; Kaski, S.; Lampinen, J.; HIIT",

year = "2015",

doi = "10.1016/C2014-0-02754-2",

language = "English",

isbn = "9780128028063",

publisher = "Elsevier",

address = "Netherlands",

}

TY - BOOK

T1 - Advances in Independent Component Analysis and Learning Machines

A2 - Bingham, Ella

A2 - Kaski, Samuel

A2 - Laaksonen, Jorma

A2 - Lampinen, Jouko

N1 - VK: Karhunen, J.; Kaski, S.; Lampinen, J.; HIIT

PY - 2015

Y1 - 2015

N2 - 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

AB - 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

UR - http://store.elsevier.com/Advances-in-Independent-Component-Analysis-and-Learning-Machines/isbn-9780128028063/

U2 - 10.1016/C2014-0-02754-2

DO - 10.1016/C2014-0-02754-2

M3 - Anthology

SN - 9780128028063

BT - Advances in Independent Component Analysis and Learning Machines

PB - Elsevier

CY - Academic Press

ER -

Advances in Independent Component Analysis and Learning Machines

Abstrakti

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Siteeraa tätä