Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning

19 Sep 2017Michalis VrigkasEvangelos KazakosChristophoros NikouIoannis 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. We present a supervised probabilistic approach that integrates LUPI into a hidden conditional random field (HCRF) model... (read more)

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