Dimension Reduction Methods with Application to ... - Rice University
Dimension Reduction Methods with Application to ... - Rice University
Dimension Reduction Methods with Application to ... - Rice University
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OUTLINE: OUR CONTRIBUTIONS<br />
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<strong>Dimension</strong> <strong>Reduction</strong> <strong>Methods</strong><br />
◮ Random Projection<br />
◮<br />
Improvements on the lower bound for k from<br />
Johnson-Lindenstrauss (JL) Lemma<br />
◮<br />
◮<br />
L2 -L 2 : Gaussian and Achlioptas random matrices<br />
L2 -L 1 : Gaussian and Achlioptas random matrices<br />
◮ Variant of Partial Least Squares (PLS):<br />
Rank-based PLS