Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise.
Ioannis D. SchizasGeorgios B. GiannakisZhi-Quan LuoPublished in: ICASSP (4) (2006)
Keyphrases
- dimensionality reduction
- multi sensor fusion
- signal to noise ratio
- multi sensor
- feature extraction
- noisy data
- dynamic programming
- pattern recognition
- manifold learning
- high dimensional data
- principal component analysis
- worst case
- high dimensional
- high dimensionality
- domain knowledge
- estimation error
- minimum mean square error
- pattern recognition and machine learning
- denoising
- linear discriminant analysis
- optimal solution
- principal components
- semi supervised
- multiscale
- data representation
- noise model
- machine learning