Random projection as dimensionality reduction and its effect on classical target recognition and anomaly detection techniques.
Yi ChenNasser M. NasrabadiTrac D. TranPublished in: WHISPERS (2011)
Keyphrases
- anomaly detection
- random projections
- dimensionality reduction
- target recognition
- unsupervised learning
- template matching
- high dimensionality
- high dimensional data
- high dimensional
- principal component analysis
- low dimensional
- target detection
- dimension reduction
- feature extraction
- infrared images
- pattern recognition
- feature selection
- linear discriminant analysis
- data points
- infrared
- sparse representation
- image reconstruction
- feature space
- data mining
- detect anomalies
- document clustering
- original data
- image fusion
- random sampling
- synthetic aperture radar
- least squares
- data analysis