Multiscale Random Projections for Compressive Classification.
Marco F. DuarteMark A. DavenportMichael B. WakinJason N. LaskaDharmpal TakharKevin F. KellyRichard G. BaraniukPublished in: ICIP (6) (2007)
Keyphrases
- random projections
- compressive sensing
- multiscale
- dimension reduction
- high dimensionality
- dimensionality reduction
- pattern recognition
- compressed sensing
- support vector
- image representation
- sparse representation
- random sampling
- unsupervised learning
- original data
- feature space
- supervised learning
- machine learning
- support vector machine
- feature selection
- principal component analysis
- text classification
- image classification
- feature vectors
- preprocessing
- feature extraction
- decision trees
- image processing
- model selection
- learning algorithm