Online Kernel Matrix Factorization

Abstract. The problem of effciently applying a kernel-induced feature space factorization to a large-scale data sets is addressed in this thesis. Kernel matrix factorization methods have showed good performances solving machine learning and data analysis problems. However, the present growth of the...