Statistical Compressive Sensing for Efficient Signal Reconstruction and Classification.
Ivan RalasicAzra TafroDamir SersicPublished in: ICFSP (2018)
Keyphrases
- compressive sensing
- signal reconstruction
- random projections
- sparse representation
- compressive sampling
- basis functions
- signal processing
- pattern recognition
- support vector machine svm
- image representation
- training set
- dimension reduction
- feature vectors
- image reconstruction
- support vector machine
- image classification
- text classification
- feature space
- machine learning
- high quality
- support vector
- neural network
- preprocessing
- linear combination
- dynamic programming
- dimensionality reduction
- feature extraction
- supervised learning