High-Dimensional Vector Spaces as the Architecture of Cognition.
Matthew A. KellyNipun AroraRobert L. WestDavid ReitterPublished in: CogSci (2019)
Keyphrases
- nearest neighbor search
- high dimensional
- similarity search
- vector space
- metric space
- low dimensional
- dimensionality reduction
- feature space
- distance function
- euclidean space
- intrinsic dimensionality
- multimedia databases
- high dimensionality
- graph classification
- indexing techniques
- knn
- similarity measure
- distance measure
- parameter space
- information extraction
- data analysis
- kernel methods
- multi dimensional
- database systems
- riemannian manifolds
- image classification
- multi label
- manifold learning
- image processing
- neural network