Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Václav ChudácekRonen TalmonJoakim AndénStéphane MallatRonald R. CoifmanPatrice AbryMuriel DoretPublished in: EMBC (2014)
Keyphrases
- manifold embedding
- low dimensional
- heart rate variability
- manifold learning
- heart rate
- high dimensional
- dimension reduction
- spectral analysis
- dimensionality reduction
- high dimensional data
- principal component analysis
- head pose estimation
- manifold structure
- euclidean space
- data points
- feature space
- linear combination
- input space
- subspace learning
- multidimensional scaling
- extracted features
- low dimensional manifolds
- ecg signals
- nearest neighbor
- high dimensionality
- training set