Aug 21, 2019 · Artificial Intelligence

How View-Specific Information Boosts Multi-View Multi-Label Learning (SIMM)

This article explains the SIMM algorithm, a multi‑view multi‑label learning method that extracts view‑specific information alongside shared subspace representations, detailing its motivation, architecture, loss functions, experimental results on eight datasets, and how it outperforms existing approaches.

Multi-view learningSIMMadversarial learning

0 likes · 10 min read

How View-Specific Information Boosts Multi-View Multi-Label Learning (SIMM)