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Abstract Details
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Activity Number:
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145
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #303755 |
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Title:
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Classification of Images Based on Wavelet-Based Distance Measures
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Author(s):
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Chung Chang*+ and Todd Ogden
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Companies:
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National Sun Yat-sen University and Columbia University
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Address:
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Department of Applied Mathematics, Kaohsiung, 80424, Taiwan, R. O. C.
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Keywords:
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classification ;
brain imaging ;
wavelets
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Abstract:
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It is often of interest to classify subjects based on imaging data (e.g., those who respond to a treatment for depression vs. those who don't). This task is challenging in part because of the high dimensionalty (hundreds of thousands of voxels per image) and also because the images are measured with noise. We propose a wavelet-based measure that can be trained to focus on the features of the images at all scales that best discriminate between groups.
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