Bounds on the Number of Measurements for Reliable Compressive Classification.
Hugo ReboredoFrancesco RennaA. Robert CalderbankMiguel R. D. RodriguesPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- small number
- feature extraction
- computational complexity
- classification systems
- pattern classification
- support vector
- classification accuracy
- data sets
- principal component analysis
- upper and lower bounds
- class labels
- support vector machine svm
- model selection
- image classification
- signal processing
- upper bound
- feature vectors
- neural network