Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective

Simon Heilig, Maximilian Münch, Frank-Michael Schleif

Matrix approximations are a key element in large-scale algebraic machine learning approaches. The recently proposed method MEKA (Si et al., 2014) effectively employs two common ass…