2018
A Constrained Deep Neural Network for Ordinal Regression
CVPR 2018poster
Ordinal regression is a supervised learning problem aiming to classify instances into ordinal categories. It is challenging to automatically extract high-level features for representing intraclass information and interclass ordinal relationship simultaneously. This paper proposes a constrained optim…