I've been researching on AdaBoost and GentleBoost classifiers, but can't seem to find a clear answer to the question:
- What is Adaboost better at classifying in computer vision?
- What is GentleBoost better at classifying?
I've been told that AdaBoost is good for things with soft edges, like facial recognition, while GentleBoost is good for things with harder and more symmetrical features and edges, like vehicles. Is this true? Is there any proof for this or any evidence to back up this claim?