Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches.
Saverio De VitoElena EspositoMaria SalvatoOlalekan A. M. PopoolaFabrizio FormisanoRoderic JonesGirolamo Di FranciaPublished in: CoRR (2017)
Keyphrases
- machine learning approaches
- real world
- machine learning methods
- machine learning
- machine learning algorithms
- machine learning models
- mobile devices
- synthetic data
- wide range
- real life
- depth information
- case study
- depth map
- question classification
- camera calibration
- feature extraction
- data mining methods
- qualitative and quantitative
- input image
- information retrieval
- knowledge discovery
- data structure