Traditional machine learning techniques require us to put a great deal of energy into these types of questions. (euclidean.com)
Traditional machine vision systems have struggled to cope with variation leading to costly system training after installation. (oalgroup.com)
So there is potential to find measures that are more meaningful than what Euclidean relies on today, and also to limit further the potential biases that can impact the learning process when data is processed into forms usable by traditional machine learning tools. (euclidean.com)