Advances in Independent Component Analysis and Learning Machines
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Published By Elsevier

9780128028063

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Advances in visual concept detection

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00012-9 ◽

2015 ◽

pp. 249-278 ◽

Cited By ~ 1

Author(s):

Ville Viitaniemi ◽

Mats Sjöberg ◽

Markus Koskela ◽

Satoru Ishikawa ◽

Jorma Laaksonen

Keyword(s):

Visual Concept ◽

Concept Detection ◽

Visual Concept Detection

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Introduction

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.09999-1 ◽

2015 ◽

pp. xix-xxvi

Author(s):

Ricardo Vigário

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Chapter Abstracts

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.09984-x ◽

2015 ◽

pp. xxvii-xxxii

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Two decades of local binary patterns

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00009-9 ◽

2015 ◽

pp. 175-210 ◽

Cited By ~ 19

Author(s):

Matti Pietikäinen ◽

Guoying Zhao

Keyword(s):

Local Binary Patterns

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A unified probabilistic model for independent and principal component analysis

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00003-8 ◽

2015 ◽

pp. 75-82

Author(s):

Aapo Hyvärinen

Keyword(s):

Principal Component Analysis ◽

Probabilistic Model ◽

Principal Component ◽

Component Analysis

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The initial convergence rate of the FastICA algorithm

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00001-4 ◽

2015 ◽

pp. 3-51

Author(s):

Scott C. Douglas

Keyword(s):

Convergence Rate ◽

Fastica Algorithm

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From pattern recognition methods to machine vision applications

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00011-7 ◽

2015 ◽

pp. 223-247

Author(s):

Heikki Kälviäinen

Keyword(s):

Pattern Recognition ◽

Machine Vision ◽

Pattern Recognition Methods

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From neural PCA to deep unsupervised learning

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.00008-7 ◽

2015 ◽

pp. 143-171 ◽

Cited By ~ 43

Author(s):

Harri Valpola

Keyword(s):

Unsupervised Learning

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Preface

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.09998-x ◽

2015 ◽

pp. xiii

Author(s):

Ella Bingham ◽

Samuel Kaski ◽

Jorma Laaksonen ◽

Jouko Lampinen Espoo

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About the Editors

Advances in Independent Component Analysis and Learning Machines ◽

10.1016/b978-0-12-802806-3.09985-1 ◽

2015 ◽

pp. xv

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Advances in Independent Component Analysis and Learning MachinesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Advances in visual concept detection

Introduction

Chapter Abstracts

Two decades of local binary patterns

A unified probabilistic model for independent and principal component analysis

The initial convergence rate of the FastICA algorithm

From pattern recognition methods to machine vision applications

From neural PCA to deep unsupervised learning

Preface

About the Editors

Advances in Independent Component Analysis and Learning Machines
Latest Publications