Face Image Analysis by Unsupervised Learning

Language: English

Published by Springer, Springer Okt 2012, 2012

1461356539 / 9781461356530

Series: Book 169 of 260 - The Springer International Series in Engineering and Computer Science

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This item is printed on demand - Print on Demand Titel. Neuware -Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble.The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition.Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.…

Seller Inventory # 9781461356530

Title
Face Image Analysis by Unsupervised Learning
Author
Marian Stewart Bartlett
Publisher
Springer, Springer Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461356539
ISBN 13
9781461356530
Item weight
300 grams
Dimensions
235x155x11 mm
Series
Book 169 of 260: The Springer International Series in Engineering and Computer Science

buchversandmimpf2000

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