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Skip to Search Results- 1Brown, Matthew R.G. (Psychiatry)
- 1Greiner, Russell (Computing Science)
- 1Heo, Giseon (Mathematical and Statistical Sciences; Denistry and Orthodontics)
- 1Miller, James (Electrical and Computer Engineering)
- 1Ray, Nilanjan (Computing Science)
- 1Schmuland, Byron (Mathematical and Statistical Sciences)
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Fall 2020
Organizational transactions generate immense amounts of data every day. The decisions made using such data are not only important for their financial impacts on the business; they also regulate the relationships with other businesses in their supply chain. There has been much research that...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements
DownloadFall 2016
In an increasingly data-driven society, there is a growing need to simplify high-dimensional data sets. Over the course of the past three decades, the Johnson and Lindenstrauss (JL) lemma has evolved from a highly abstract mathematical result into a useful tool for dealing with data sets of...
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Spring 2017
At the core of many computer vision methods lies the question of how to represent data. Representing the data in a meaningful way, which highlights its most useful properties, can significantly affect the performance of any vision-based application. Traditional systems are heavily reliant on...