Face Image Analysis by Unsupervised Learning
M. S. Bartlett
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Description for Face Image Analysis by Unsupervised Learning
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 173 pages, biography. BIC Classification: UG; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 302.
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
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. 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
New York, NY, United States
ISBN
9781461356530
SKU
V9781461356530
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