We consider n-by-n matrices whose (i, j)-th entry is f(X_i^T X_j), where X_1,
...,X_n are i.i.d. standard Gaussian random vectors in R^p, and f is a
real-valued function. The eigenvalue distribution of these random kernel
matrices is studied at the "large p, large n" regime. It is show