Bioinspired Random Projections for Robust, Sparse Classification.
Nina Dekoninck BruhinBryn DaviesPublished in: SIAM J. Imaging Sci. (2022)
Keyphrases
- random projections
- compressive sensing
- dimension reduction
- compressed sensing
- high dimensionality
- sparse representation
- dimensionality reduction
- high dimensional
- machine learning
- signal reconstruction
- random sampling
- support vector
- image classification
- original data
- pattern recognition
- knowledge discovery
- support vector machine
- principal component analysis
- support vector machine svm
- feature space
- image reconstruction
- feature selection
- data sets
- classification accuracy
- decision trees
- data analysis
- document clustering
- preprocessing
- training set