1) zero-center (0-center) the normalized values in the model vectors, and then precalculate each feature vector element based on the offset, and then pass the sum to each support vector calculation. assumption: median is close to the mean. 2) cache individual values in the input feature vector, have 13000 values assumption: memory won't be too big