no code implementations • 19 Sep 2017 • Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou, Ioannis A. Kakadiaris
In this work, a novel method based on the learning using privileged information (LUPI) paradigm for recognizing complex human activities is proposed that handles missing information during testing.
no code implementations • 31 Aug 2017 • Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou, Ioannis A. Kakadiaris
Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process.
no code implementations • 30 Aug 2017 • Nikolaos Sarafianos, Michalis Vrigkas, Ioannis A. Kakadiaris
Incorporating additional knowledge in the learning process can be beneficial for several computer vision and machine learning tasks.