Free Downloads Face Image Analysis By Unsupervised Learning (The Springer International Series In Engineering And Computer Science)

                
              
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Face Image Analysis By Unsupervised Learning (The Springer International Series In Engineering And Computer Science)
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.
Series: The Springer International Series in Engineering and Computer Science (Book 612)
Hardcover: 173 pages
Publisher: Springer; 2001 edition (May 1, 2001)
Language: English
ISBN-10: 0792373480
ISBN-13: 978-0792373483
Product Dimensions:  6.1 x 0.5 x 9.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:  5.0 out of 5 stars  See all reviews (1 customer review)
Best Sellers Rank: #6,619,492 in Books (See Top 100 in Books)   #11 in Books > Computers & Technology > Software > Optical Character Recognition   #1144 in Books > Textbooks > Medicine & Health Sciences > Research > Biostatistics   #1555 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition
Marian Stewart Bartlett is a talented young scientist who has done some breakthrough work in the image processing of faces, particularly for the analysis of facial expressions. This book describes the details of that work, and places it in the broader context of other work in unsupervised learning and image processing. A must read for those keeping up with the latest and greatest in face image analysis!
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