Multi-scale kernel function learning is a special case of multi-kernel learning, namely combines several multi-scale kernels. This approach is more flexible. It provides more comprehensive choice of ...

The drawback of SVM technique leads to a positive semidefinite quadratic programming problem with a dense, structured, positive semi-definite matrix, and also requires a set of kernel functions. We ...