Rank Estimation and Redundancy Reduction of High-Dimensional Noisy Signals With Preservation of Rare Vectors.
Oleg KuybedaDavid MalahMeir BarzoharPublished in: IEEE Trans. Signal Process. (2007)
Keyphrases
- redundancy reduction
- high dimensional
- noisy data
- noisy environments
- face recognition
- signal processing
- low dimensional
- high dimensional feature space
- intrinsic dimensionality
- lower dimensional
- similarity search
- feature space
- instantaneous frequency
- sparse data
- accurate estimation
- feature vectors
- dimensionality reduction
- correlation function
- estimation problems
- data points
- signal reconstruction
- low signal to noise ratio
- principal components
- variable selection
- metric space
- data sets
- high dimensionality
- vector space
- computer vision