文摘
Proposed a unified multiple kernel framework to classify potential nodule objects. Regularized multiple kernel with l2,1l2,1 norm to fuse the heterogeneous feature subsets. Two different feature selection from heterogeneous feature subsets. Over-sampling positive instances in kernel space for imbalanced data.