Abstract Details
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Activity Number:
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5
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Type:
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Invited
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Date/Time:
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Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307278 |
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Title:
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Tensor Dimension Reduction for Chemical Sensing
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Author(s):
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Wenxuan Zhong*+
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Companies:
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University of Illinois at Urbana-Champaign
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Keywords:
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Dimension reduction ;
Tucker model ;
Tensor data
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Abstract:
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Advances in computing power in the past few decades greatly encouraged the collection of tensor datasets in all fields of science, engineering, social science, business, and government. In this talk, we present a tensor dimension reduction method for high dimensional regression. The asymptotic properties for the tensor dimension reduction method will be discussed. The empirical performance has been demonstrated using the chemical sensing data.
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Authors who are presenting talks have a * after their name.
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