Nyström Approximation

Field approximation fidelity improves as the number of landmarks per class increases. Projected attraction can use cached training-set summaries for the numerator and denominator. The projected kernel is computed as an inner product of Nyström features. DriftXpress selects fixed landmarks from training samples before training, usually by random per-class sampling.