Abstract Details
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Activity Number:
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431
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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SSC
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Abstract #310867
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Title:
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Efficient Dimension Reduction of a Group of High-Dimension Imaging Data
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Author(s):
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Haipeng Shen*+
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Companies:
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University of North Carolina at Chapel Hill
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Keywords:
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population value decomposition ;
singular value decomposition ;
principal component analysis ;
big data
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Abstract:
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Modern scientific studies are generating large volumes of high-dimensional imaging data. Many dimension reduction techniques have been developed for individual images. However, very little attention has been devoted to dimension reduction of a group of such high-dimensional images, which is crucial for population level analysis. We shall propose a computationally efficient dimension reduction method for this purpose, and compare it with existing ones through numerical and theoretical studies.
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Authors who are presenting talks have a * after their name.
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