It is actually not a product, but a weighted sum, where the weights are the data points.
In 2d, for the cubic kernel, the sum is formulated as (same paper as the kernel above):
I simply generalized this sum to N dimensions, found an efficient way to evaluate it, and developed new high order kernels.
