Decision fusion python

1. What is decision level fusion?
2. What is decision fusion in machine learning?
3. What is feature fusion deep learning?

What is decision level fusion?

Definition. Decision level fusion falls under a broader area known as distributed detection systems and is the process of selecting one hypothesis from multiple M hypotheses given the decisions of multiple N sensors in the presence of noise and interference.

What is decision fusion in machine learning?

In simple words, decision fusion is the method of combining the decisions taken by multiple classifiers to reach a common final decision. Here the decision of the classifier is the classification performed on the test dataset, which is the prediction on the test dataset.

What is feature fusion deep learning?

Feature fusion helps to learn image features fully for description of their rich internal information, and after dimensionality reduction, we can obtain compact representation of integrated features, thus resulting in lower computational complexity and better performance of face detection with unconstrained environment ...