565 citations · 904 across the 19 of their papers we have counts for
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Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +1
Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual object tracking. However,…
Localized Manifold Harmonics for Spectral Shape Analysis
Simone Melzi, Emanuele Rodolà, Umberto Castellani +1
The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian eigenbases allow generalizing…
Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
Giorgio Roffo, Simone Melzi
In an era where accumulating data is easy and storing it inexpensive, feature selection plays a central role in helping to reduce the high-dimensionality of huge amounts of otherwi…