28 citations · 28 across the 1 of their papers we have counts for
2 papers
cs.SI2016★ 28 cited
Magnetic Eigenmaps for the Visualization of Directed Networks
Michaël Fanuel, Carlos M. Alaíz, Ángela Fernández +1
We propose a framework for the visualization of directed networks relying on the eigenfunctions of the magnetic Laplacian, called here Magnetic Eigenmaps. The magnetic Laplacian is…
cs.AI2013
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
Ángela Fernández, Neta Rabin, Dalia Fishelov +1
Non-linear dimensionality reduction techniques such as manifold learning algorithms have become a common way for processing and analyzing high-dimensional patterns that often have…