Recognizing new activities with limited training data

@inproceedings{Nguyen2015RecognizingNA,
  title={Recognizing new activities with limited training data},
  author={Le T. Nguyen and Ming Zeng and Patrick Tague and Joy Zhang},
  booktitle={SEMWEB},
  year={2015}
}
Activity recognition (AR) systems are typically built to recognize a predefined set of common activities. However, these systems need to be able to learn new activities to adapt to a user's needs. Learning new activities is especially challenging in practical scenarios when a user provides only a few annotations for training an AR model. In this work, we study the problem of recognizing new activities with a limited amount of labeled training data. Due to the shortage of labeled data, small… CONTINUE READING
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