Representational Dissimilarity Metric Spaces for Stochastic Neural Networks.
Lyndon R. DuongJingyang ZhouJosue NassarJules BermanJeroen OlieslagersAlex H. WilliamsPublished in: ICLR (2023)
Keyphrases
- metric space
- neural network
- similarity search
- distance function
- similarity queries
- euclidean space
- high dimensional
- pattern recognition
- access methods
- range queries
- multidimensional index
- partially ordered sets
- feature space
- searching in metric spaces
- probability measures
- dissimilarity measure
- point sets
- stochastic process
- nearest neighbor queries
- similarity searching
- data sets
- stochastic model
- point correspondences
- stochastic processes
- vector space
- similarity join
- multi dimensional
- feature selection
- databases