[PDF.54kh] Face Image Analysis by Unsupervised Learning (The Springer International Series in Engineering and Computer Science)

Face Image Analysis by Unsupervised Learning (The Springer International Series in Engineering and Computer Science)

[PDF.ie45] Face Image Analysis by Unsupervised Learning (The Springer International Series in Engineering and Computer Science)

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 | #8278649 in Books |  2001-05-01 | Original language:English | PDF # 1 |  9.21 x.50 x6.14l,1.00 | File type: PDF | 173 pages

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||0 of 0 people found the following review helpful.| Important new work in image processing of faces|By A Customer|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 processi| |`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.'<

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 metho...

You can specify the type of files you want, for your gadget.Face Image Analysis by Unsupervised Learning (The Springer International Series in Engineering and Computer Science)   |  Marian Stewart Bartlett. Which are the reasons I like to read books. Great story by a great author.

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