AMP: a new time-frequency feature extraction method for intermittent time-series data
The characterisation of time-series data via their most salient features is extremely important in a range of machine learning task, not least of all with regards to classification and clustering. While there exist many feature extraction techniques suitable for non-intermittent time-series data, th...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/52186/ |