59 citations · 105 across the 4 of their papers we have counts for
4 papers
iCub World: Friendly Robots Help Building Good Vision Data-Sets
Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro +4
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid…
GURLS: a Least Squares Library for Supervised Learning
Andrea Tacchetti, Pavan K Mallapragada, Matteo Santoro +1
We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non-s…
Nonparametric sparsity and regularization
Lorenzo Rosasco, Silvia Villa, Sofia Mosci +2
In this work we are interested in the problems of supervised learning and variable selection when the input-output dependence is described by a nonlinear function depending on a fe…
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning
Curzio Basso, Matteo Santoro, Alessandro Verri +1
Recently, considerable research efforts have been devoted to the design of methods to learn from data overcomplete dictionaries for sparse coding. However, learned dictionaries req…