PREVIOUS	NEXT
INDEX

Here's a side view. The prototypes form a linear subspace of lumisphere space, and the data lumispheres are represented using the member of this subspace which is closest using our same error functional.

Standard PCA (eigenanalysis) techniques do not generalize to the principal function analysis situation, so we use conjugate gradients to optimize the prototypes.