Dynamic Sensing: Better Classification under Acquisition Constraints

@inproceedings{Richman2015DynamicSB,
  title={Dynamic Sensing: Better Classification under Acquisition Constraints},
  author={Oran Richman and Shie Mannor},
  booktitle={ICML},
  year={2015}
}
In many machine learning applications the quality of the data is limited by resource constraints (may it be power, bandwidth, memory, ...). In such cases, the constraints are on the average resources allocated, therefore there is some control over each sample’s quality. In most cases this option remains unused and the data’s quality is uniform over the… CONTINUE READING