For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions.
Nishanth DikkalaGal KaplunRina PanigrahyPublished in: CoRR (2021)
Keyphrases
- manifold learning
- locality sensitive
- hash functions
- neural network
- high dimensional
- low dimensional
- dimensionality reduction
- similarity search
- locality sensitive hashing
- pattern recognition
- semi supervised
- dimension reduction
- high dimensional data
- feature extraction
- hyperplane
- nearest neighbor
- nearest neighbor search
- feature space
- data sets
- hamming distance
- input space
- image processing
- sparse representation
- high dimensional spaces
- training samples
- feature vectors