Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage☆

@inproceedings{Ziyatdinov2015SyntheticBF,
  title={Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage☆},
  author={Andrey Ziyatdinov and Alexandre Perera},
  booktitle={Data in brief},
  year={2015}
}
The design of the signal and data processing algorithms requires a validation stage and some data relevant for a validation procedure. While the practice to share public data sets and make use of them is a recent and still on-going activity in the community, the synthetic benchmarks presented here are an option for the researches, who need data for testing and comparing the algorithms under development. The collection of synthetic benchmark data sets were generated for classification… CONTINUE READING
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