Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems.
Guihong WanCrystal MaungChenxu ZhangHaim SchweitzerPublished in: ICDM (2020)
Keyphrases
- low dimensional
- distance metric
- search problems
- data points
- distance metric learning
- nonlinear dimensionality reduction
- high dimensional
- dimensionality reduction
- orders of magnitude
- pairwise distances
- euclidean distance
- metric learning
- search space
- search algorithm
- high dimensional data
- input space
- principal component analysis
- heuristic search
- nearest neighbor
- distance measure
- euclidean space
- feature space
- vector space
- search strategies
- manifold learning
- neural network
- distance function
- data sets
- constraint satisfaction problems
- image retrieval
- similarity search
- data analysis
- face recognition
- locally linear embedding
- image processing
- machine learning