Random walks and an O*(n5) volume algorithm for convex bodies
Random Structures & Algorithms
Statistical properties of kernel principal component analysis
Machine Learning
On Learning with Integral Operators
The Journal of Machine Learning Research
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We analyze the behavior of a random matrix with independent rows, each distributed according to the same probability measure on ${\mathbb R}^{n}$ or on ℓ2. We investigate the spectrum of such a matrix and the way the ellipsoid generated by it approximates the covariance structure of the underlying measure. As an application, we provide estimates on the deviation of the spectrum of Gram matrices from the spectrum of the integral operator.