Neural Random Projection: From the Initial Task To the Input Similarity Problem.
Alan SavushkinNikita BenkovichDmitry GolubevPublished in: CoRR (2020)
Keyphrases
- random projections
- dimensionality reduction
- compressed sensing
- sparse representation
- lossy image compression
- image reconstruction
- original data
- random sampling
- similarity measure
- neural network
- document clustering
- dimension reduction
- hash functions
- low dimensional
- input data
- data mining
- random samples
- learning algorithm
- high dimensionality
- sample size
- image compression
- multiscale
- co occurrence
- least squares
- object recognition
- pattern recognition