Low-Quality Dimension Reduction and High-Dimensional Approximate Nearest Neighbor.
Evangelos AnagnostopoulosIoannis Z. EmirisIoannis PsarrosPublished in: SoCG (2015)
Keyphrases
- facial expressions
- dimension reduction
- low quality
- high dimensional
- approximate nearest neighbor
- high dimensional spaces
- nearest neighbor search
- nearest neighbor
- low dimensional
- high dimensional data
- high quality
- locality sensitive hashing
- dimensionality reduction
- high dimensional problems
- high dimensionality
- similarity search
- feature space
- face recognition
- multi dimensional
- data points
- principal component analysis
- singular value decomposition
- metric space
- dimensional data
- feature extraction
- k nearest neighbor
- pattern recognition
- distance function
- image segmentation
- machine learning
- feature selection