52 citations · 108 across the 6 of their papers we have counts for
4 papers · 1 filter
Robust Classification of Graph-Based Data
Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
A graph-based classification method is proposed for semi-supervised learning in the case of Euclidean data and for classification in the case of graph data. Our manifold learning t…
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning
Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
In this paper, Kernel PCA is reinterpreted as the solution to a convex optimization problem. Actually, there is a constrained convex problem for each principal component, so that t…
Magnetic eigenmaps for community detection in directed networks
Michaël Fanuel, Carlos M. Alaíz, Johan A. K. Suykens
Communities in directed networks have often been characterized as regions with a high density of links, or as sets of nodes with certain patterns of connection. Our approach for co…
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…