Jacopo Cavazza

Active-Labelling by Adaptive Huber Loss Regression

2016 · arXiv (Cornell University)

This paper addresses the scalar regression problem presenting a solution for optimizing the Huber loss in a general semi-supervised setting, which combines multi-view learning and manifold regularization. To this aim, we propose a principled algorithm …

Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach

2019 · International Journal of Computer Vision

Abstract This paper aims at investigating the action prediction problem from a pure kinematic perspective. Specifically, we address the problem of recognizing future actions, indeed human intentions, underlying a same initial (and apparently unrelated) motor …