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subset selection methods for large-scale kernel learning

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This is the code used in the paper Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition, R. Patel, T. Goldstein, E.L. Dyer, et al., SIAM Data Mining Conference, 2016.

Specifically, this code implements: oASIS in MATLAB, oASIS in MATLAB with mex, and oASIS-P in C++.

We also include a MATLAB function to generate BORG datasets.

A link to the paper can be found here: http://epubs.siam.org/doi/abs/10.1137/1.9781611974348.67

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