1. A pattern detection method comprising: approximating a decision surface in terms of multiple reduced set vectors; and determining the presence of a particular pattern in an input pattern by sequentially evaluating and summing the kernelized inner product of the reduced set vectors with the input pattern, such that if at any point the input pattern can be rejected as not comprising the particular pattern, no more reduced set vectors are used for that input pattern.