Statistical divergences quantify the difference between probability
dist...
Evolutionary computation (EC) algorithms, such as discrete and
multi-obj...
Deep convolutional neural networks (CNNs) trained on objects and scenes ...
In this paper, we develop a framework for information theoretic learning...
Information theory provides principled ways to analyze different inferen...