High Dimensional Data Fusion via Joint Manifold Learning.
Mark A. DavenportChinmay HegdeMarco F. DuarteRichard G. BaraniukPublished in: AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Keyphrases
- data fusion
- manifold learning
- high dimensional
- low dimensional
- dimensionality reduction
- multi sensor
- high dimensional data
- multi sensor data fusion
- nonlinear dimensionality reduction
- dimension reduction
- diffusion maps
- fusion algorithm
- information fusion
- multi source
- similarity search
- nearest neighbor
- laplacian eigenmaps
- low dimensional manifolds
- feature space
- fusion method
- multiple sensors
- fusion methods
- high dimensionality
- feature extraction
- image fusion
- metric space
- data points
- input space
- manifold structure
- parameter space
- semi supervised
- geodesic distance
- graph embedding
- embedding space
- high resolution
- image processing