Learning for Human-Robot Interaction

@inproceedings{RaducanuLearningFH,
  title={Learning for Human-Robot Interaction},
  author={Bogdan Raducanu and Jordi Vitri{\`a}}
}
This paper presents a novel approach for incremental subspace learning based on an online version of the Nonparametric Discriminant Analysis (NDA). For many realworld applications (like the study of visual processes, for instance) there is impossible to know beforehand the number of total classes or the exact number of instances per class. This motivated us… CONTINUE READING