Stock image for illustration purposes only - book cover, edition or condition may vary.
Face Image Analysis by Unsupervised Learning
Marion Stewart Bartlett
€ 125.99
FREE Delivery in Ireland
Description for Face Image Analysis by Unsupervised Learning
Hardback. Explores adaptive approaches to image analysis. This book reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. It is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 173 pages, biography. BIC Classification: UYQV; UYZ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 12. Weight in Grams: 1000.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Kluwer Academic Publishers United States
Number of pages
173
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
173
Place of Publication
Dordrecht, Netherlands
ISBN
9780792373483
SKU
V9780792373483
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Face Image Analysis by Unsupervised Learning
`Marian Bartlett's comparison of ICA with other algorithms on the recognition of facial expressions is perhaps the most thorough analysis we have of the strengths and limits of ICA as a preprocessing stage for pattern recognition.' T.J. Sejnowski, Salk Institute