Random projections and Hotelling's T2 statistics for change detection in high-dimensional data streams.
Ewa Skubalska-RafajlowiczPublished in: Int. J. Appl. Math. Comput. Sci. (2013)
Keyphrases
- change detection
- high dimensional data streams
- random projections
- remote sensing
- dimensionality reduction
- data streams
- remote sensing images
- dimension reduction
- original data
- random sampling
- sparse representation
- image reconstruction
- land cover
- satellite images
- hash functions
- image registration
- principal component analysis
- anomaly detection
- shot change detection
- hyperspectral data
- document clustering
- high dimensionality
- data sets
- learning algorithm
- neural network
- data distribution
- image classification
- computer vision