Atrial Fibrillation Detection With Spectral Manifolds in Low-Dimensional Latent Spaces.
Carlos Paúl Bernal OñateEnrique V. CarreraFrancisco Manuel Melgarejo-MeseguerRodolfo Gordillo-OrqueraArcadio García-AlberolaJosé Luis Rojo-ÁlvarezPublished in: IEEE Access (2023)
Keyphrases
- computer vision
- low dimensional
- latent space
- object detection
- manifold learning
- high dimensional
- low dimensional spaces
- atrial fibrillation
- euclidean space
- dimensionality reduction
- high dimensional data
- pattern recognition
- data points
- embedding space
- principal component analysis
- latent variables
- riemannian manifolds
- low dimensional manifolds
- feature space
- video surveillance
- face detection