Low-quality dimension reduction and high-dimensional Approximate Nearest Neighbor.
Evangelos AnagnostopoulosIoannis Z. EmirisIoannis PsarrosPublished in: CoRR (2014)
Keyphrases
- low quality
- dimension reduction
- high dimensional
- approximate nearest neighbor
- high dimensional spaces
- nearest neighbor search
- nearest neighbor
- low dimensional
- high quality
- high dimensional data
- locality sensitive hashing
- high dimensionality
- dimensionality reduction
- similarity search
- high dimensional problems
- feature space
- data points
- multi dimensional
- dimensional data
- k nearest neighbor
- distance function
- metric space
- principal component analysis
- computer vision
- learning algorithm
- feature selection
- clustering algorithm
- euclidean distance
- neural network
- data analysis
- active learning