Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion.
Seungjoon LeeFelix DietrichGeorge E. KarniadakisIoannis G. KevrekidisPublished in: CoRR (2018)
Keyphrases
- data fusion
- gaussian process regression
- data driven
- manifold embedding
- manifold learning
- low dimensional
- euclidean space
- information fusion
- multi sensor
- gaussian process
- gaussian processes
- fusion method
- source selection
- fusion algorithm
- multi sensor data fusion
- multi source
- high dimensional
- situation assessment
- dimensionality reduction
- fusion methods
- image fusion
- vector space
- multiple sensors
- feature extraction
- multiresolution
- machine learning
- principal component analysis
- fusion process
- feature space