An adaptive method for the recovery of missing samples from FHR time series.
Vangelis P. OikonomouJirí SpilkaChrysostomos D. StyliosLenka LhotskáPublished in: CBMS (2013)
Keyphrases
- high accuracy
- data sets
- experimental evaluation
- cost function
- high precision
- significant improvement
- support vector machine svm
- classification method
- computational complexity
- pairwise
- computational cost
- denoising
- training samples
- test data
- segmentation method
- recovery algorithm
- missing data
- synthetic data
- optimization algorithm
- multiresolution
- similarity measure