244 citations · 364 across the 5 of their papers we have counts for
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cs.CV2017
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,…
cs.CV2017★ 20 cited
Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications
Giorgio Roffo
The last decade has seen a revolution in the theory and application of machine learning and pattern recognition. Through these advancements, variable ranking has emerged as an acti…
cs.CV2017★ 38 cited
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…