Fusion

A survey of decision fusion and feature fusion strategies for pattern classification

A survey of decision fusion and feature fusion strategies for pattern classification
  1. What is decision fusion in machine learning?
  2. Why feature fusion is important?

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.

Why feature fusion is important?

The primary benefit of feature-level fusion is the detection of correlated feature values generated by different biometric algorithms thereby identifying a compact set of salient features that can improve recognition accuracy.

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