Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space.
Nicolas DuchateauMathieu De CraenePascal AllainEric SalouxMaxime SermesantPublished in: IEEE Trans. Medical Imaging (2016)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- input space
- manifold learning
- data points
- high dimensional data
- principal component analysis
- prediction accuracy
- lower dimensional
- euclidean space
- regression model
- subspace learning
- prediction model
- feature space
- vector space
- linear regression
- linear regression model
- image registration
- graph embedding
- conformal prediction
- latent space
- neural network
- linear subspace
- gaussian processes
- model selection
- face recognition