Online Learning for Human-Robot Interaction

@article{Raducanu2007OnlineLF,
  title={Online Learning for Human-Robot Interaction},
  author={Bogdan Raducanu and Jordi Vitri{\`a}},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-7}
}
This paper presents a novel approach for incremental subspace learning based on an online version of the non-parametric discriminant analysis (NDA). For many real-world 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 to propose a new algorithm, in which new samples can be added asynchronously, at different time stamps, as soon as they become available… CONTINUE READING

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