Locality sensitive hashing for fast computation of correlational manifold learning based feature space transformations.
Vikrant Singh TomarRichard C. RosePublished in: INTERSPEECH (2013)
Keyphrases
- manifold learning
- feature space
- locality sensitive hashing
- nearest neighbor search
- locality preserving
- low dimensional
- high dimensional
- dimensionality reduction
- similarity search
- dimension reduction
- nearest neighbor
- high dimensional data
- data points
- feature extraction
- brute force
- metric space
- principal component analysis
- hash functions
- mean shift
- semi supervised
- high dimensionality
- manifold structure
- kernel function
- feature vectors
- riemannian manifolds
- indexing techniques
- input space
- multimedia retrieval
- hamming distance
- image retrieval
- input data
- knn
- support vector machine
- embedding space
- training set
- image representation
- feature set
- sift features
- decision trees
- high dimensional spaces
- distance function
- space efficient
- linear discriminant analysis
- range queries
- euclidean distance
- machine learning
- feature selection