Ensemble Learning and Fusion

Question

Question - What is the difference (or are they the same) between ensemble learning and classifier fusion?

As I understood, ensemble learning is averaging models when making the final prediction, whereas classifier fusion is also the same in meaning. However, when I'm searching for references on ensemble learning, I don't find any mention of the term 'fusion' in some literature. Besides, some references use these two terms (eg, https://ieeexplore.ieee.org/document/8695622 ). Any suggestion/resource is appreciated to my question.

Answer 1

If I'm not really mistaken, both are the same. It's common to read fusion as the act of creating an ensemble from a bunch of classifiers - that is the case for the paper you linked.

Answer 2

After some search I found the difference: ensemble learning involves training multiple classifiers and combining their predictions, while classifier fusion involves combining the predictions of pre-trained classifiers.