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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JL LEMMA: IMPROVEMENT ON LOWER BOUND<br />
FOR k<br />
Compare<br />
————————————————————————————<br />
Dasgupta and Gupta (2003): mgf technique<br />
For any 0 < ɛ < 1 and integer n, let k be such that<br />
k ≥<br />
24 ln n<br />
3ɛ 2 − 2ɛ 3 . (3)<br />
For any set V of n points in R p , there is a linear map<br />
f : R p → R k such that for any u, v ∈ V,<br />
[<br />
P (1 − ɛ) ||u − v|| 2 ≤ ||f(u) − f(v)|| 2 ≤ (1 + ɛ) ||u − v|| 2] ≥ 1 − 2 n 2 .<br />
————————————————————————————<br />
◮ f(x) = 1 √<br />
k<br />
xΓ, where x = u − v<br />
◮ Gaussian random matrix:<br />
k ||f(x)||2<br />
||x|| 2<br />
◮ best available lower bound for k<br />
∼ χ 2 k<br />
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