Bioinspired random projections for robust, sparse classification.
Bryn DaviesNina Dekoninck BruhinPublished in: CoRR (2022)
Keyphrases
- random projections
- compressive sensing
- dimension reduction
- compressed sensing
- sparse representation
- high dimensionality
- original data
- pattern recognition
- classification accuracy
- dimensionality reduction
- image reconstruction
- feature space
- feature vectors
- support vector machine
- principal component analysis
- hash functions
- decision trees
- signal reconstruction
- document clustering
- learning algorithm
- text classification
- image classification
- supervised learning
- preprocessing
- machine learning
- support vector machine svm
- low dimensional
- feature set
- natural language processing
- information extraction
- image data
- high dimensional