This paper proposes a mathematical programming framework for combining SVMs with possibly different kernels. Compared to single SVMs, the advantage of this approach is twofold: it creates SVMs with local domains of expertise leading to local enlargements of the margin, and it allows the use of simple linear kernels combined with a fixed boolean operation that is particularly well suited for building dedicated hardware.