Smoothly approximated support vector domain description
Smoothly approximates the objective function of support vector domain description. Gradient based optimization method could be applied to the smoothed model. The proposed algorithms have asymptotic training complexity (n2) ( n 2 ) . The algorithm is easy to implement, without requiring any optimization package.
support vector domain description smooth approximation quadratic programming conjugate gradient