Then, we will present two different paradigms of multi-view learning strategies to learn transfer models: multi-view learning with agreement and guided multi-view learning. Then, we will present an exhaustive evaluation based on both paradigms including two states-of-the-art algorithms and show that accuracy over 91% can be obtained using three views. In our concluding remarks, we will talk about future extensions of the presented methodology.