3 papers
cs.CV2017
Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
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 informatio…
cs.CV2017
Inferring Human Activities Using Robust Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process. This imbalance can…
cs.CV2017
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation
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. Whether privileged information originates from…