Matthew Emigh

Information Theoretic-Learning auto-encoder

Eder Santana, José Carlos Príncipe, Matthew Emigh, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A model based approach to exploration of continuous-state MDPs using Divergence-to-Go

José Carlos Príncipe, Matthew Emigh, Matthew S. Emigh, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives

Eder Santana, José Carlos Príncipe, Shujian Yu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Linear discriminant analysis with an information divergence criterion

José Carlos Príncipe, Matthew Emigh, Matthew S. Emigh, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning

Panos M. Pardalos, Austin J. Brockmeier, José Carlos Príncipe, 2016, IEEE Transactions on Computational Intelligence and AI in Games.

Multiple-instance learning-based sonar image classification

Matthew Emigh, Xiaoxiao Du, Matthew S. Emigh, 2017, Defense + Security.