Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Published in International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2018, 2018
Recommended citation: Delia Fano Yela, Dan Stowell and Mark B. Sandler, Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation, in Proceedings of the International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2018, p. 280-289. [paper]
We analyse the influence of the sole parameter of the KAM framework and propose an automatic graph theory method to set it.